diff --git a/data/rparis6k/annotations/json/labels.json b/data/rparis6k/annotations/json/labels.json index ade781e..35bcebc 100644 --- a/data/rparis6k/annotations/json/labels.json +++ b/data/rparis6k/annotations/json/labels.json @@ -14,42 +14,38 @@ }, { "id": 3, - "name": "general" - }, - { - "id": 4, "name": "invalides" }, { - "id": 5, + "id": 4, "name": "louvre" }, { - "id": 6, + "id": 5, "name": "moulinrouge" }, { - "id": 7, + "id": 6, "name": "museedorsay" }, { - "id": 8, + "id": 7, "name": "notredame" }, { - "id": 9, + "id": 8, "name": "pantheon" }, { - "id": 10, + "id": 9, "name": "pompidou" }, { - "id": 11, + "id": 10, "name": "sacrecoeur" }, { - "id": 12, + "id": 11, "name": "triomphe" } ], @@ -25631,8 +25627,8 @@ "bbox": [ 130, 17, - 843, - 732 + 713, + 715 ] }, { @@ -25642,8 +25638,8 @@ "bbox": [ 258, 88, - 805, - 619 + 547, + 531 ] }, { @@ -25653,8 +25649,8 @@ "bbox": [ 213, 67, - 765, - 609 + 552, + 542 ] }, { @@ -25664,8 +25660,8 @@ "bbox": [ 8, 104, - 707, - 913 + 699, + 809 ] }, { @@ -25675,562 +25671,507 @@ "bbox": [ 226, 77, - 645, - 510 + 419, + 433 ] }, { "id": 5, - "image_id": 5, - "category_id": 3, - "bbox": [ - 175, - 7, - 590, - 907 - ] - }, - { - "id": 6, - "image_id": 6, - "category_id": 3, - "bbox": [ - 92, - 118, - 400, - 833 - ] - }, - { - "id": 7, "image_id": 7, "category_id": 2, "bbox": [ 348, 3, - 595, - 508 - ] - }, - { - "id": 8, - "image_id": 8, - "category_id": 3, - "bbox": [ - 93, - 15, - 538, - 779 + 247, + 505 ] }, { - "id": 9, - "image_id": 9, - "category_id": 3, - "bbox": [ - 145, - 84, - 469, - 757 - ] - }, - { - "id": 10, + "id": 6, "image_id": 10, - "category_id": 4, + "category_id": 3, "bbox": [ 287, 3, - 581, - 429 + 294, + 426 ] }, { - "id": 11, + "id": 7, "image_id": 11, - "category_id": 4, + "category_id": 3, "bbox": [ 214, 23, - 594, - 593 + 380, + 570 ] }, { - "id": 12, + "id": 8, "image_id": 12, - "category_id": 4, + "category_id": 3, "bbox": [ 208, 26, - 589, - 654 + 381, + 628 ] }, { - "id": 13, + "id": 9, 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}, { - "id": 1971, + "id": 1619, "image_id": 6289, "category_id": 2, "bbox": [ 348.0, 3.0, - 595.0, - 508.0 + 247.0, + 505.0 ] }, { - "id": 1972, + "id": 1620, "image_id": 6299, - "category_id": 4, + "category_id": 3, "bbox": [ 264.4, 59.8, - 577.8, - 546.0 + 313.4, + 486.2 ] }, { - "id": 1973, + "id": 1621, "image_id": 6301, - "category_id": 8, + "category_id": 7, "bbox": [ 237.2, 127.3, - 670.7, - 703.6 - ] - }, - { - "id": 1974, - "image_id": 6301, - "category_id": 3, - "bbox": [ - 26.0, - 87.0, - 662.0, - 833.0 + 433.5, + 576.3 ] }, { - "id": 1975, + "id": 1622, "image_id": 6302, - "category_id": 6, + "category_id": 5, "bbox": [ 261.0, 92.6, - 681.6, - 528.2 - ] - }, - { - "id": 1976, - "image_id": 6308, - "category_id": 3, - "bbox": [ - 126.2, - 56.0, - 499.2, - 819.0 + 420.6, + 435.6 ] }, { - "id": 1977, + "id": 1623, "image_id": 6308, "category_id": 2, "bbox": [ 348.0, 3.0, - 595.0, - 508.0 - ] - }, - { - "id": 1978, - "image_id": 6314, - "category_id": 3, - "bbox": [ - 395.9, - 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546.0 + 313.4, + 486.2 ] }, { - "id": 1992, - "image_id": 6364, - "category_id": 5, + "id": 1591, + "image_id": 6166, + "category_id": 11, "bbox": [ - 170.8, - 114.6, - 844.4, - 455.0 + 132.5, + 169.0, + 561.0, + 544.0 ] }, { - "id": 1994, - "image_id": 6375, + "id": 1592, + "image_id": 6166, "category_id": 1, "bbox": [ - 134.7, - 37.6, - 893.3, - 691.2 + 157.0, + 47.0, + 624.0, + 590.0 ] }, { - "id": 1997, - "image_id": 6379, - "category_id": 3, + "id": 1596, + "image_id": 6179, + "category_id": 9, "bbox": [ - 395.9, - 56.9, - 664.5, - 492.7 + 44.8, + 12.6, + 922.4, + 644.6 ] }, { - "id": 1998, - "image_id": 6379, - "category_id": 6, + "id": 1601, + "image_id": 6210, + "category_id": 2, + "bbox": [ + 348.0, + 3.0, + 247.0, + 505.0 + ] + }, + { + "id": 1611, + "image_id": 6244, + "category_id": 4, + "bbox": [ + 170.8, + 114.6, + 673.6, + 340.4 + ] + }, + { + "id": 1629, + "image_id": 6326, + "category_id": 5, "bbox": [ 0.0, 0.0, 1023.0, 767.0 ] + }, + { + "id": 1630, + "image_id": 6339, + "category_id": 3, + "bbox": [ + 264.4, + 59.8, + 313.4, + 486.2 + ] + }, + { + "id": 1632, + "image_id": 6347, + "category_id": 10, + "bbox": [ + 149.0, + 124.8, + 591.6, + 627.4 + ] + }, + { + "id": 1633, + "image_id": 6350, + "category_id": 5, + "bbox": [ + 261.0, + 92.6, + 420.6, + 435.6 + ] } ] } \ No newline at end of file diff --git a/data/rparis6k/sets/test/test.txt b/data/rparis6k/sets/test/test.txt index 46f464c..fb37c1b 100644 --- a/data/rparis6k/sets/test/test.txt +++ b/data/rparis6k/sets/test/test.txt @@ -1,154 +1,153 @@ -paris_invalides_000083.jpg -paris_pantheon_000599.jpg -paris_notredame_000121.jpg -paris_louvre_000424.jpg -paris_moulinrouge_000383.jpg -paris_invalides_000096.jpg -paris_moulinrouge_000793.jpg -paris_general_002220.jpg -paris_general_002764.jpg -paris_notredame_000171.jpg -paris_sacrecoeur_000494.jpg -paris_louvre_000177.jpg -paris_invalides_000050.jpg -paris_museedorsay_000372.jpg -paris_pantheon_000308.jpg -paris_general_002626.jpg -paris_louvre_000398.jpg -paris_notredame_000239.jpg -paris_defense_000037.jpg -paris_moulinrouge_000838.jpg -paris_louvre_000217.jpg -paris_general_000372.jpg -paris_general_003021.jpg -paris_invalides_000123.jpg -paris_defense_000589.jpg -paris_defense_000106.jpg -paris_pompidou_000439.jpg -paris_louvre_000452.jpg -paris_defense_000105.jpg -paris_notredame_000019.jpg -paris_general_000113.jpg -paris_moulinrouge_000456.jpg -paris_pompidou_000300.jpg -paris_triomphe_000664.jpg +paris_moulinrouge_000495.jpg +paris_general_002610.jpg paris_louvre_000449.jpg -paris_louvre_000350.jpg -paris_defense_000232.jpg -paris_moulinrouge_000444.jpg -paris_sacrecoeur_000015.jpg -paris_sacrecoeur_000317.jpg -paris_louvre_000393.jpg -paris_invalides_000717.jpg -paris_sacrecoeur_000010.jpg -paris_general_002427.jpg -paris_louvre_000219.jpg -paris_invalides_000626.jpg -paris_louvre_000310.jpg -paris_notredame_000352.jpg -paris_pantheon_001016.jpg -paris_invalides_000392.jpg -paris_general_003063.jpg -paris_pompidou_000447.jpg -paris_general_003111.jpg -paris_general_002234.jpg -paris_defense_000014.jpg -paris_pantheon_000232.jpg -paris_general_002032.jpg -paris_moulinrouge_000716.jpg -paris_sacrecoeur_000065.jpg -paris_defense_000215.jpg -paris_pantheon_000024.jpg -paris_pompidou_000407.jpg -paris_triomphe_000161.jpg -paris_pantheon_000445.jpg -paris_moulinrouge_000594.jpg -paris_sacrecoeur_000007.jpg -paris_invalides_000660.jpg -paris_museedorsay_001008.jpg -paris_defense_000170.jpg -paris_pantheon_000662.jpg -paris_triomphe_001086.jpg -paris_moulinrouge_000428.jpg -paris_general_002609.jpg -paris_moulinrouge_000027.jpg -paris_triomphe_001083.jpg -paris_moulinrouge_000124.jpg -paris_general_002398.jpg -paris_general_002231.jpg -paris_general_002714.jpg -paris_defense_000502.jpg -paris_general_003149.jpg -paris_louvre_000108.jpg -paris_pantheon_000389.jpg -paris_louvre_000195.jpg -paris_triomphe_000817.jpg -paris_defense_000227.jpg -paris_notredame_000834.jpg -paris_museedorsay_000564.jpg -paris_triomphe_001036.jpg -paris_pantheon_000902.jpg -paris_louvre_000142.jpg -paris_defense_000334.jpg -paris_moulinrouge_000353.jpg -paris_sacrecoeur_000456.jpg -paris_invalides_000360.jpg -paris_triomphe_000005.jpg -paris_general_000934.jpg -paris_general_002966.jpg -paris_triomphe_000713.jpg -paris_defense_000592.jpg -paris_invalides_000273.jpg -paris_moulinrouge_000392.jpg -paris_general_002532.jpg -paris_general_002103.jpg +paris_pantheon_000537.jpg +paris_defense_000094.jpg +paris_triomphe_000136.jpg +paris_notredame_000581.jpg +paris_invalides_000454.jpg +paris_pantheon_000706.jpg +paris_eiffel_000309.jpg +paris_sacrecoeur_000252.jpg +paris_moulinrouge_000108.jpg +paris_notredame_000779.jpg +paris_defense_000197.jpg +paris_moulinrouge_000490.jpg +paris_general_002201.jpg +paris_pantheon_000466.jpg +paris_invalides_000128.jpg +paris_moulinrouge_000216.jpg +paris_triomphe_000691.jpg +paris_triomphe_000066.jpg +paris_general_000195.jpg +paris_pantheon_000982.jpg +paris_pompidou_000734.jpg +paris_general_000303.jpg +paris_triomphe_000324.jpg +paris_sacrecoeur_000017.jpg paris_moulinrouge_000445.jpg -paris_invalides_000141.jpg -paris_pantheon_000961.jpg -paris_moulinrouge_000871.jpg -paris_louvre_000376.jpg -paris_general_002948.jpg -paris_triomphe_000024.jpg -paris_invalides_000164.jpg -paris_louvre_000096.jpg -paris_eiffel_000037.jpg -paris_triomphe_000202.jpg -paris_notredame_000568.jpg +paris_invalides_000113.jpg +paris_pantheon_000310.jpg +paris_moulinrouge_000551.jpg +paris_notredame_000896.jpg +paris_sacrecoeur_000578.jpg +paris_defense_000070.jpg +paris_museedorsay_000670.jpg +paris_louvre_000174.jpg +paris_sacrecoeur_000279.jpg +paris_invalides_000222.jpg +paris_invalides_000090.jpg +paris_louvre_000104.jpg +paris_defense_000284.jpg +paris_moulinrouge_000875.jpg +paris_pompidou_000432.jpg +paris_triomphe_000631.jpg +paris_louvre_000368.jpg +paris_general_002697.jpg +paris_triomphe_000700.jpg +paris_triomphe_000161.jpg +paris_museedorsay_000044.jpg +paris_pompidou_000504.jpg +paris_triomphe_000189.jpg +paris_moulinrouge_000844.jpg +paris_pompidou_000143.jpg +paris_invalides_000564.jpg +paris_sacrecoeur_000466.jpg +paris_notredame_000648.jpg +paris_sacrecoeur_000531.jpg +paris_notredame_000228.jpg +paris_pompidou_000393.jpg paris_invalides_000275.jpg -paris_pompidou_000636.jpg -paris_sacrecoeur_000221.jpg -paris_invalides_000454.jpg -paris_triomphe_000004.jpg -paris_general_002043.jpg -paris_eiffel_000014.jpg -paris_invalides_000355.jpg -paris_invalides_000676.jpg -paris_louvre_000403.jpg -paris_louvre_000081.jpg -paris_moulinrouge_000384.jpg -paris_general_000809.jpg -paris_louvre_000332.jpg -paris_pantheon_000892.jpg +paris_general_000761.jpg +paris_louvre_000307.jpg +paris_general_001233.jpg +paris_museedorsay_001069.jpg +paris_sacrecoeur_000640.jpg +paris_moulinrouge_000448.jpg +paris_invalides_000257.jpg +paris_moulinrouge_000656.jpg +paris_invalides_000248.jpg +paris_general_002633.jpg +paris_moulinrouge_000303.jpg +paris_general_002930.jpg +paris_triomphe_000618.jpg +paris_general_001041.jpg +paris_notredame_000390.jpg +paris_notredame_000321.jpg +paris_general_001098.jpg +paris_louvre_000145.jpg +paris_museedorsay_000802.jpg +paris_pantheon_000035.jpg +paris_moulinrouge_000733.jpg +paris_pantheon_001048.jpg +paris_general_003063.jpg +paris_general_002070.jpg +paris_general_003136.jpg +paris_general_002800.jpg +paris_sacrecoeur_000243.jpg +paris_museedorsay_000342.jpg +paris_invalides_000356.jpg +paris_eiffel_000285.jpg +paris_invalides_000460.jpg +paris_sacrecoeur_000303.jpg +paris_louvre_000091.jpg +paris_defense_000041.jpg +paris_general_000350.jpg +paris_triomphe_000082.jpg +paris_invalides_000219.jpg +paris_general_003150.jpg +paris_invalides_000138.jpg +paris_sacrecoeur_000703.jpg +paris_louvre_000237.jpg +paris_louvre_000254.jpg +paris_invalides_000320.jpg +paris_sacrecoeur_000003.jpg +paris_general_000422.jpg +paris_notredame_000870.jpg +paris_eiffel_000168.jpg +paris_triomphe_000602.jpg +paris_notredame_000696.jpg +paris_general_000116.jpg +paris_invalides_000025.jpg +paris_general_002464.jpg +paris_sacrecoeur_000313.jpg +paris_invalides_000590.jpg +paris_general_001806.jpg +paris_general_002021.jpg +paris_invalides_000008.jpg +paris_triomphe_000226.jpg paris_pantheon_000266.jpg -paris_general_001821.jpg -paris_notredame_000832.jpg -paris_moulinrouge_000260.jpg -paris_general_002908.jpg -paris_general_003127.jpg -paris_general_003087.jpg -paris_defense_000403.jpg -paris_invalides_000546.jpg -paris_triomphe_000416.jpg -paris_general_000155.jpg -paris_museedorsay_000074.jpg -paris_general_002371.jpg -paris_general_001211.jpg -paris_pantheon_000267.jpg -paris_pantheon_000889.jpg -paris_triomphe_001098.jpg -paris_louvre_000216.jpg -paris_louvre_000297.jpg -paris_notredame_000673.jpg -paris_sacrecoeur_000586.jpg -paris_defense_000124.jpg -paris_sacrecoeur_000497.jpg +paris_invalides_000660.jpg +paris_eiffel_000005.jpg +paris_eiffel_000170.jpg +paris_sacrecoeur_000417.jpg +paris_pantheon_000531.jpg +paris_notredame_000101.jpg +paris_general_001704.jpg +paris_invalides_000373.jpg +paris_general_002807.jpg +paris_moulinrouge_000373.jpg +paris_moulinrouge_000601.jpg +paris_invalides_000198.jpg +paris_triomphe_000348.jpg +paris_general_000737.jpg +paris_notredame_000032.jpg +paris_general_002954.jpg +paris_invalides_000086.jpg +paris_notredame_000751.jpg +paris_notredame_000747.jpg +paris_moulinrouge_000460.jpg +paris_triomphe_000458.jpg +paris_general_000136.jpg +paris_invalides_000269.jpg +paris_moulinrouge_000252.jpg +paris_louvre_000219.jpg +paris_moulinrouge_000736.jpg +paris_moulinrouge_000214.jpg +paris_invalides_000207.jpg +paris_pantheon_000361.jpg +paris_defense_000047.jpg +paris_moulinrouge_000498.jpg +paris_moulinrouge_000492.jpg +paris_invalides_000662.jpg +paris_pompidou_000471.jpg diff --git a/data/rparis6k/sets/train/train.json b/data/rparis6k/sets/train/train.json index 130851b..aface7c 100644 --- a/data/rparis6k/sets/train/train.json +++ b/data/rparis6k/sets/train/train.json @@ -14,54 +14,42 @@ }, { "id": 3, - "name": "general" - }, - { - "id": 4, "name": "invalides" }, { - "id": 5, + "id": 4, "name": "louvre" }, { - "id": 6, + "id": 5, "name": "moulinrouge" }, { - "id": 7, + "id": 6, "name": "museedorsay" }, { - "id": 8, + "id": 7, "name": "notredame" }, { - "id": 9, + "id": 8, "name": "pantheon" }, { - "id": 10, + "id": 9, "name": "pompidou" }, { - "id": 11, + "id": 10, "name": "sacrecoeur" }, { - "id": 12, + "id": 11, "name": "triomphe" } ], "images": [ - { - "id": 0, - "file_name": "paris_defense_000605.jpg" - }, - { - "id": 1, - "file_name": "paris_defense_000331.jpg" - }, { "id": 2, "file_name": "paris_defense_000216.jpg" @@ -70,37 +58,21 @@ "id": 3, "file_name": "paris_defense_000056.jpg" }, - { - "id": 4, - "file_name": "paris_defense_000254.jpg" - }, - { - "id": 5, - "file_name": "paris_general_002985.jpg" - }, - { - "id": 6, - "file_name": "paris_general_001729.jpg" - }, { "id": 7, "file_name": "paris_eiffel_000266.jpg" }, { - "id": 8, - "file_name": "paris_general_002645.jpg" - }, - { - "id": 9, - "file_name": "paris_general_002391.jpg" + "id": 10, + "file_name": "paris_invalides_000355.jpg" }, { - "id": 12, - "file_name": "paris_invalides_000490.jpg" + "id": 11, + "file_name": "paris_invalides_000072.jpg" }, { - "id": 13, - "file_name": "paris_invalides_000229.jpg" + "id": 15, + "file_name": "paris_louvre_000081.jpg" }, { "id": 16, @@ -110,6 +82,10 @@ "id": 17, "file_name": "paris_louvre_000050.jpg" }, + { + "id": 18, + "file_name": "paris_louvre_000035.jpg" + }, { "id": 19, "file_name": "paris_louvre_000139.jpg" @@ -123,33 +99,37 @@ "file_name": "paris_moulinrouge_000657.jpg" }, { - "id": 25, - "file_name": "paris_museedorsay_000527.jpg" + "id": 23, + "file_name": "paris_moulinrouge_000794.jpg" }, { - "id": 26, - "file_name": "paris_museedorsay_000012.jpg" + "id": 24, + "file_name": "paris_moulinrouge_000004.jpg" }, { - "id": 30, - "file_name": "paris_notredame_000256.jpg" + "id": 27, + "file_name": "paris_museedorsay_000897.jpg" }, { - "id": 31, - "file_name": "paris_notredame_000965.jpg" + "id": 29, + "file_name": "paris_museedorsay_000878.jpg" }, { - "id": 32, - "file_name": "paris_notredame_000390.jpg" + "id": 30, + "file_name": "paris_notredame_000256.jpg" }, { - "id": 35, - "file_name": "paris_pantheon_000466.jpg" + "id": 31, + "file_name": "paris_notredame_000965.jpg" }, { "id": 36, "file_name": "paris_pantheon_000520.jpg" }, + { + "id": 37, + "file_name": "paris_pantheon_000232.jpg" + }, { "id": 38, "file_name": "paris_pantheon_000547.jpg" @@ -158,33 +138,21 @@ "id": 39, "file_name": "paris_pantheon_000339.jpg" }, - { - "id": 40, - "file_name": "paris_pompidou_000432.jpg" - }, { "id": 41, "file_name": "paris_pompidou_000444.jpg" }, { - "id": 42, - "file_name": "paris_pompidou_000252.jpg" - }, - { - "id": 43, - "file_name": "paris_pompidou_000471.jpg" + "id": 44, + "file_name": "paris_pompidou_000636.jpg" }, { "id": 45, "file_name": "paris_sacrecoeur_000162.jpg" }, { - "id": 46, - "file_name": "paris_sacrecoeur_000417.jpg" - }, - { - "id": 47, - "file_name": "paris_sacrecoeur_000237.jpg" + "id": 48, + "file_name": "paris_sacrecoeur_000586.jpg" }, { "id": 49, @@ -206,10 +174,6 @@ "id": 53, "file_name": "paris_triomphe_000149.jpg" }, - { - "id": 54, - "file_name": "paris_defense_000038.jpg" - }, { "id": 56, "file_name": "paris_defense_000104.jpg" @@ -219,20 +183,16 @@ "file_name": "paris_defense_000062.jpg" }, { - "id": 58, - "file_name": "paris_general_001046.jpg" - }, - { - "id": 59, - "file_name": "paris_general_002437.jpg" + "id": 60, + "file_name": "paris_moulinrouge_000840.jpg" }, { - "id": 62, - "file_name": "paris_notredame_000896.jpg" + "id": 63, + "file_name": "paris_notredame_000888.jpg" }, { - "id": 65, - "file_name": "paris_pantheon_001078.jpg" + "id": 64, + "file_name": "paris_pantheon_000308.jpg" }, { "id": 66, @@ -242,10 +202,6 @@ "id": 67, "file_name": "paris_triomphe_000089.jpg" }, - { - "id": 68, - "file_name": "paris_triomphe_000414.jpg" - }, { "id": 69, "file_name": "paris_triomphe_000445.jpg" @@ -262,10 +218,6 @@ "id": 84, "file_name": "paris_sacrecoeur_000234.jpg" }, - { - "id": 89, - "file_name": "paris_triomphe_000066.jpg" - }, { "id": 101, "file_name": "paris_moulinrouge_000734.jpg" @@ -275,16 +227,16 @@ "file_name": "paris_moulinrouge_000210.jpg" }, { - "id": 120, - "file_name": "paris_notredame_000097.jpg" + "id": 111, + "file_name": "paris_general_000113.jpg" }, { - "id": 126, - "file_name": "paris_moulinrouge_000492.jpg" + "id": 115, + "file_name": "paris_museedorsay_000396.jpg" }, { - "id": 131, - "file_name": "paris_invalides_000710.jpg" + "id": 141, + "file_name": "paris_moulinrouge_000124.jpg" }, { "id": 149, @@ -314,10 +266,18 @@ "id": 199, "file_name": "paris_moulinrouge_000451.jpg" }, + { + "id": 200, + "file_name": "paris_eiffel_000275.jpg" + }, { "id": 206, "file_name": "paris_notredame_000098.jpg" }, + { + "id": 210, + "file_name": "paris_general_001179.jpg" + }, { "id": 212, "file_name": "paris_invalides_000611.jpg" @@ -334,17 +294,25 @@ "id": 224, "file_name": "paris_notredame_000545.jpg" }, + { + "id": 229, + "file_name": "paris_invalides_000546.jpg" + }, { "id": 230, "file_name": "paris_louvre_000365.jpg" }, { - "id": 231, - "file_name": "paris_pompidou_000143.jpg" + "id": 242, + "file_name": "paris_triomphe_000202.jpg" }, { - "id": 241, - "file_name": "paris_notredame_000448.jpg" + "id": 243, + "file_name": "paris_notredame_000352.jpg" + }, + { + "id": 248, + "file_name": "paris_moulinrouge_000090.jpg" }, { "id": 249, @@ -358,13 +326,17 @@ "id": 261, "file_name": "paris_sacrecoeur_000676.jpg" }, + { + "id": 266, + "file_name": "paris_triomphe_000713.jpg" + }, { "id": 270, "file_name": "paris_louvre_000396.jpg" }, { - "id": 277, - "file_name": "paris_moulinrouge_000157.jpg" + "id": 276, + "file_name": "paris_pantheon_000105.jpg" }, { "id": 279, @@ -375,16 +347,12 @@ "file_name": "paris_defense_000015.jpg" }, { - "id": 281, - "file_name": "paris_general_003150.jpg" - }, - { - "id": 285, - "file_name": "paris_general_000422.jpg" + "id": 290, + "file_name": "paris_defense_000456.jpg" }, { - "id": 294, - "file_name": "paris_louvre_000415.jpg" + "id": 299, + "file_name": "paris_moulinrouge_000383.jpg" }, { "id": 302, @@ -407,17 +375,13 @@ "file_name": "paris_general_001763.jpg" }, { - "id": 313, - "file_name": "paris_museedorsay_000639.jpg" + "id": 312, + "file_name": "paris_pantheon_000889.jpg" }, { "id": 314, "file_name": "paris_triomphe_000119.jpg" }, - { - "id": 316, - "file_name": "paris_general_000067.jpg" - }, { "id": 324, "file_name": "paris_general_000129.jpg" @@ -435,24 +399,32 @@ "file_name": "paris_general_001988.jpg" }, { - "id": 351, - "file_name": "paris_moulinrouge_000218.jpg" + "id": 347, + "file_name": "paris_defense_000037.jpg" }, { - "id": 354, - "file_name": "paris_invalides_000565.jpg" + "id": 351, + "file_name": "paris_moulinrouge_000218.jpg" }, { "id": 355, "file_name": "paris_moulinrouge_000263.jpg" }, + { + "id": 360, + "file_name": "paris_defense_000403.jpg" + }, { "id": 362, "file_name": "paris_general_002619.jpg" }, { - "id": 366, - "file_name": "paris_invalides_000320.jpg" + "id": 363, + "file_name": "paris_general_002004.jpg" + }, + { + "id": 369, + "file_name": "paris_defense_000249.jpg" }, { "id": 384, @@ -463,24 +435,16 @@ "file_name": "paris_general_000078.jpg" }, { - "id": 389, - "file_name": "paris_notredame_000747.jpg" - }, - { - "id": 394, - "file_name": "paris_sacrecoeur_000214.jpg" - }, - { - "id": 395, - "file_name": "paris_invalides_000219.jpg" + "id": 398, + "file_name": "paris_sacrecoeur_000086.jpg" }, { - "id": 397, - "file_name": "paris_invalides_000356.jpg" + "id": 404, + "file_name": "paris_defense_000059.jpg" }, { - "id": 398, - "file_name": "paris_sacrecoeur_000086.jpg" + "id": 407, + "file_name": "paris_pompidou_000478.jpg" }, { "id": 414, @@ -495,16 +459,28 @@ "file_name": "paris_general_002102.jpg" }, { - "id": 428, - "file_name": "paris_invalides_000488.jpg" + "id": 422, + "file_name": "paris_moulinrouge_000702.jpg" + }, + { + "id": 427, + "file_name": "paris_sacrecoeur_000638.jpg" }, { "id": 432, "file_name": "paris_invalides_000162.jpg" }, { - "id": 445, - "file_name": "paris_sacrecoeur_000303.jpg" + "id": 440, + "file_name": "paris_invalides_000194.jpg" + }, + { + "id": 450, + "file_name": "paris_notredame_000456.jpg" + }, + { + "id": 452, + "file_name": "paris_triomphe_000771.jpg" }, { "id": 456, @@ -522,30 +498,34 @@ "id": 464, "file_name": "paris_general_002255.jpg" }, - { - "id": 465, - "file_name": "paris_notredame_000696.jpg" - }, { "id": 478, "file_name": "paris_sacrecoeur_000579.jpg" }, - { - "id": 482, - "file_name": "paris_sacrecoeur_000408.jpg" - }, { "id": 485, "file_name": "paris_defense_000609.jpg" }, - { - "id": 491, - "file_name": "paris_moulinrouge_000046.jpg" - }, { "id": 494, "file_name": "paris_pantheon_000780.jpg" }, + { + "id": 498, + "file_name": "paris_general_000404.jpg" + }, + { + "id": 499, + "file_name": "paris_defense_000276.jpg" + }, + { + "id": 507, + "file_name": "paris_pantheon_000389.jpg" + }, + { + "id": 508, + "file_name": "paris_defense_000502.jpg" + }, { "id": 509, "file_name": "paris_general_002813.jpg" @@ -559,28 +539,28 @@ "file_name": "paris_defense_000346.jpg" }, { - "id": 520, - "file_name": "paris_museedorsay_000552.jpg" + "id": 519, + "file_name": "paris_sacrecoeur_000500.jpg" }, { - "id": 532, - "file_name": "paris_pantheon_000146.jpg" + "id": 520, + "file_name": "paris_museedorsay_000552.jpg" }, { - "id": 539, - "file_name": "paris_museedorsay_000004.jpg" + "id": 527, + "file_name": "paris_sacrecoeur_000434.jpg" }, { - "id": 550, - "file_name": "paris_triomphe_000654.jpg" + "id": 532, + "file_name": "paris_pantheon_000146.jpg" }, { - "id": 562, - "file_name": "paris_general_002885.jpg" + "id": 556, + "file_name": "paris_general_002908.jpg" }, { - "id": 568, - "file_name": "paris_moulinrouge_000386.jpg" + "id": 559, + "file_name": "paris_moulinrouge_000260.jpg" }, { "id": 576, @@ -594,10 +574,6 @@ "id": 606, "file_name": "paris_pantheon_000636.jpg" }, - { - "id": 610, - "file_name": "paris_triomphe_000700.jpg" - }, { "id": 612, "file_name": "paris_louvre_000426.jpg" @@ -607,12 +583,8 @@ "file_name": "paris_notredame_000265.jpg" }, { - "id": 635, - "file_name": "paris_sacrecoeur_000668.jpg" - }, - { - "id": 636, - "file_name": "paris_pantheon_000537.jpg" + "id": 630, + "file_name": "paris_defense_000579.jpg" }, { "id": 637, @@ -622,10 +594,6 @@ "id": 646, "file_name": "paris_moulinrouge_000718.jpg" }, - { - "id": 654, - "file_name": "paris_notredame_000657.jpg" - }, { "id": 655, "file_name": "paris_triomphe_000133.jpg" @@ -638,6 +606,14 @@ "id": 665, "file_name": "paris_general_000693.jpg" }, + { + "id": 668, + "file_name": "paris_louvre_000393.jpg" + }, + { + "id": 676, + "file_name": "paris_louvre_000162.jpg" + }, { "id": 682, "file_name": "paris_invalides_000078.jpg" @@ -646,10 +622,6 @@ "id": 694, "file_name": "paris_triomphe_000302.jpg" }, - { - "id": 713, - "file_name": "paris_invalides_000222.jpg" - }, { "id": 715, "file_name": "paris_sacrecoeur_000378.jpg" @@ -658,6 +630,14 @@ "id": 716, "file_name": "paris_invalides_000256.jpg" }, + { + "id": 722, + "file_name": "paris_pompidou_000627.jpg" + }, + { + "id": 723, + "file_name": "paris_moulinrouge_000444.jpg" + }, { "id": 726, "file_name": "paris_moulinrouge_000866.jpg" @@ -671,17 +651,21 @@ "file_name": "paris_sacrecoeur_000085.jpg" }, { - "id": 747, - "file_name": "paris_triomphe_000297.jpg" + "id": 746, + "file_name": "paris_defense_000168.jpg" }, { - "id": 751, - "file_name": "paris_notredame_000032.jpg" + "id": 747, + "file_name": "paris_triomphe_000297.jpg" }, { "id": 766, "file_name": "paris_triomphe_000547.jpg" }, + { + "id": 769, + "file_name": "paris_pompidou_000407.jpg" + }, { "id": 775, "file_name": "paris_louvre_000165.jpg" @@ -694,6 +678,10 @@ "id": 778, "file_name": "paris_general_002027.jpg" }, + { + "id": 780, + "file_name": "paris_triomphe_000722.jpg" + }, { "id": 782, "file_name": "paris_pantheon_000864.jpg" @@ -707,17 +695,25 @@ "file_name": "paris_pantheon_001039.jpg" }, { - "id": 796, - "file_name": "paris_general_001923.jpg" + "id": 793, + "file_name": "paris_triomphe_000346.jpg" }, { - "id": 802, - "file_name": "paris_defense_000566.jpg" + "id": 794, + "file_name": "paris_invalides_000364.jpg" + }, + { + "id": 796, + "file_name": "paris_general_001923.jpg" }, { "id": 811, "file_name": "paris_moulinrouge_000872.jpg" }, + { + "id": 812, + "file_name": "paris_general_002473.jpg" + }, { "id": 818, "file_name": "paris_general_002416.jpg" @@ -726,6 +722,10 @@ "id": 819, "file_name": "paris_triomphe_000909.jpg" }, + { + "id": 820, + "file_name": "paris_louvre_000452.jpg" + }, { "id": 822, "file_name": "paris_triomphe_000251.jpg" @@ -743,28 +743,20 @@ "file_name": "paris_defense_000528.jpg" }, { - "id": 846, - "file_name": "paris_invalides_000544.jpg" + "id": 873, + "file_name": "paris_louvre_000398.jpg" }, { "id": 881, "file_name": "paris_eiffel_000086.jpg" }, - { - "id": 882, - "file_name": "paris_general_001041.jpg" - }, - { - "id": 883, - "file_name": "paris_invalides_000113.jpg" - }, { "id": 888, "file_name": "paris_pantheon_001003.jpg" }, { - "id": 896, - "file_name": "paris_general_002052.jpg" + "id": 893, + "file_name": "paris_defense_000501.jpg" }, { "id": 900, @@ -786,6 +778,10 @@ "id": 930, "file_name": "paris_eiffel_000156.jpg" }, + { + "id": 931, + "file_name": "paris_sacrecoeur_000678.jpg" + }, { "id": 933, "file_name": "paris_defense_000113.jpg" @@ -802,21 +798,25 @@ "id": 949, "file_name": "paris_museedorsay_000181.jpg" }, + { + "id": 953, + "file_name": "paris_louvre_000141.jpg" + }, { "id": 956, "file_name": "paris_moulinrouge_000571.jpg" }, { - "id": 959, - "file_name": "paris_louvre_000004.jpg" + "id": 958, + "file_name": "paris_general_001543.jpg" }, { - "id": 967, - "file_name": "paris_general_003038.jpg" + "id": 965, + "file_name": "paris_moulinrouge_000353.jpg" }, { - "id": 979, - "file_name": "paris_eiffel_000051.jpg" + "id": 977, + "file_name": "paris_triomphe_000465.jpg" }, { "id": 981, @@ -826,6 +826,10 @@ "id": 987, "file_name": "paris_pantheon_000559.jpg" }, + { + "id": 1009, + "file_name": "paris_invalides_000392.jpg" + }, { "id": 1015, "file_name": "paris_triomphe_000703.jpg" @@ -842,14 +846,14 @@ "id": 1029, "file_name": "paris_general_003011.jpg" }, - { - "id": 1031, - "file_name": "paris_louvre_000086.jpg" - }, { "id": 1032, "file_name": "paris_general_002955.jpg" }, + { + "id": 1033, + "file_name": "paris_moulinrouge_000793.jpg" + }, { "id": 1039, "file_name": "paris_moulinrouge_000009.jpg" @@ -859,8 +863,16 @@ "file_name": "paris_eiffel_000040.jpg" }, { - "id": 1049, - "file_name": "paris_invalides_000255.jpg" + "id": 1046, + "file_name": "paris_triomphe_000817.jpg" + }, + { + "id": 1047, + "file_name": "paris_sacrecoeur_000568.jpg" + }, + { + "id": 1049, + "file_name": "paris_invalides_000255.jpg" }, { "id": 1051, @@ -879,32 +891,52 @@ "file_name": "paris_defense_000414.jpg" }, { - "id": 1077, - "file_name": "paris_pantheon_000863.jpg" + "id": 1076, + "file_name": "paris_pantheon_000653.jpg" }, { - "id": 1086, - "file_name": "paris_sacrecoeur_000466.jpg" + "id": 1077, + "file_name": "paris_pantheon_000863.jpg" }, { "id": 1087, "file_name": "paris_pantheon_001141.jpg" }, { - "id": 1092, - "file_name": "paris_pompidou_000161.jpg" + "id": 1091, + "file_name": "paris_moulinrouge_000520.jpg" + }, + { + "id": 1096, + "file_name": "paris_moulinrouge_000311.jpg" + }, + { + "id": 1097, + "file_name": "paris_sacrecoeur_000015.jpg" + }, + { + "id": 1098, + "file_name": "paris_notredame_000052.jpg" }, { "id": 1103, "file_name": "paris_pompidou_000578.jpg" }, { - "id": 1106, - "file_name": "paris_triomphe_000967.jpg" + "id": 1110, + "file_name": "paris_defense_000147.jpg" + }, + { + "id": 1125, + "file_name": "paris_general_003153.jpg" }, { - "id": 1123, - "file_name": "paris_eiffel_000274.jpg" + "id": 1126, + "file_name": "paris_moulinrouge_000209.jpg" + }, + { + "id": 1128, + "file_name": "paris_moulinrouge_000526.jpg" }, { "id": 1134, @@ -918,10 +950,6 @@ "id": 1141, "file_name": "paris_moulinrouge_000430.jpg" }, - { - "id": 1144, - "file_name": "paris_triomphe_000126.jpg" - }, { "id": 1158, "file_name": "paris_pantheon_000334.jpg" @@ -938,6 +966,10 @@ "id": 1170, "file_name": "paris_general_002038.jpg" }, + { + "id": 1171, + "file_name": "paris_general_003087.jpg" + }, { "id": 1175, "file_name": "paris_notredame_000388.jpg" @@ -955,8 +987,8 @@ "file_name": "paris_general_000820.jpg" }, { - "id": 1188, - "file_name": "paris_invalides_000569.jpg" + "id": 1187, + "file_name": "paris_general_002043.jpg" }, { "id": 1200, @@ -974,18 +1006,38 @@ "id": 1209, "file_name": "paris_invalides_000363.jpg" }, + { + "id": 1211, + "file_name": "paris_louvre_000176.jpg" + }, { "id": 1212, "file_name": "paris_pantheon_000147.jpg" }, + { + "id": 1217, + "file_name": "paris_moulinrouge_000489.jpg" + }, + { + "id": 1225, + "file_name": "paris_louvre_000022.jpg" + }, { "id": 1227, "file_name": "paris_louvre_000305.jpg" }, + { + "id": 1228, + "file_name": "paris_louvre_000445.jpg" + }, { "id": 1229, "file_name": "paris_notredame_000759.jpg" }, + { + "id": 1234, + "file_name": "paris_defense_000515.jpg" + }, { "id": 1237, "file_name": "paris_invalides_000463.jpg" @@ -995,24 +1047,20 @@ "file_name": "paris_general_000086.jpg" }, { - "id": 1251, - "file_name": "paris_moulinrouge_000169.jpg" - }, - { - "id": 1259, - "file_name": "paris_sacrecoeur_000371.jpg" + "id": 1249, + "file_name": "paris_louvre_000150.jpg" }, { - "id": 1266, - "file_name": "paris_invalides_000086.jpg" + "id": 1251, + "file_name": "paris_moulinrouge_000169.jpg" }, { - "id": 1268, - "file_name": "paris_sacrecoeur_000121.jpg" + "id": 1255, + "file_name": "paris_moulinrouge_000588.jpg" }, { - "id": 1269, - "file_name": "paris_pantheon_000264.jpg" + "id": 1259, + "file_name": "paris_sacrecoeur_000371.jpg" }, { "id": 1270, @@ -1022,14 +1070,14 @@ "id": 1271, "file_name": "paris_invalides_000759.jpg" }, - { - "id": 1272, - "file_name": "paris_museedorsay_000373.jpg" - }, { "id": 1276, "file_name": "paris_louvre_000099.jpg" }, + { + "id": 1283, + "file_name": "paris_notredame_000313.jpg" + }, { "id": 1286, "file_name": "paris_museedorsay_000979.jpg" @@ -1038,6 +1086,10 @@ "id": 1289, "file_name": "paris_triomphe_000352.jpg" }, + { + "id": 1291, + "file_name": "paris_notredame_000673.jpg" + }, { "id": 1299, "file_name": "paris_general_002327.jpg" @@ -1046,10 +1098,22 @@ "id": 1303, "file_name": "paris_triomphe_000409.jpg" }, + { + "id": 1304, + "file_name": "paris_triomphe_000435.jpg" + }, + { + "id": 1312, + "file_name": "paris_invalides_000258.jpg" + }, { "id": 1317, "file_name": "paris_defense_000279.jpg" }, + { + "id": 1318, + "file_name": "paris_louvre_000217.jpg" + }, { "id": 1322, "file_name": "paris_general_000781.jpg" @@ -1058,6 +1122,18 @@ "id": 1324, "file_name": "paris_sacrecoeur_000244.jpg" }, + { + "id": 1327, + "file_name": "paris_triomphe_000482.jpg" + }, + { + "id": 1328, + "file_name": "paris_moulinrouge_000384.jpg" + }, + { + "id": 1333, + "file_name": "paris_louvre_000216.jpg" + }, { "id": 1339, "file_name": "paris_eiffel_000272.jpg" @@ -1067,12 +1143,24 @@ "file_name": "paris_pantheon_001118.jpg" }, { - "id": 1361, - "file_name": "paris_defense_000094.jpg" + "id": 1352, + "file_name": "paris_defense_000400.jpg" }, { - "id": 1362, - "file_name": "paris_moulinrouge_000436.jpg" + "id": 1357, + "file_name": "paris_sacrecoeur_000572.jpg" + }, + { + "id": 1366, + "file_name": "paris_moulinrouge_000871.jpg" + }, + { + "id": 1370, + "file_name": "paris_triomphe_000397.jpg" + }, + { + "id": 1373, + "file_name": "paris_invalides_000753.jpg" }, { "id": 1375, @@ -1086,14 +1174,14 @@ "id": 1381, "file_name": "paris_pantheon_000557.jpg" }, - { - "id": 1384, - "file_name": "paris_general_002049.jpg" - }, { "id": 1386, "file_name": "paris_sacrecoeur_000530.jpg" }, + { + "id": 1395, + "file_name": "paris_pantheon_000902.jpg" + }, { "id": 1400, "file_name": "paris_general_000271.jpg" @@ -1102,13 +1190,17 @@ "id": 1401, "file_name": "paris_general_000084.jpg" }, + { + "id": 1403, + "file_name": "paris_notredame_000239.jpg" + }, { "id": 1404, "file_name": "paris_invalides_000430.jpg" }, { - "id": 1406, - "file_name": "paris_pantheon_001048.jpg" + "id": 1409, + "file_name": "paris_sacrecoeur_000456.jpg" }, { "id": 1410, @@ -1119,16 +1211,8 @@ "file_name": "paris_general_003020.jpg" }, { - "id": 1414, - "file_name": "paris_general_002444.jpg" - }, - { - "id": 1423, - "file_name": "paris_moulinrouge_000856.jpg" - }, - { - "id": 1424, - "file_name": "paris_triomphe_000175.jpg" + "id": 1425, + "file_name": "paris_notredame_000234.jpg" }, { "id": 1430, @@ -1138,29 +1222,33 @@ "id": 1432, "file_name": "paris_louvre_000147.jpg" }, - { - "id": 1436, - "file_name": "paris_louvre_000174.jpg" - }, { "id": 1437, "file_name": "paris_triomphe_000731.jpg" }, { - "id": 1444, - "file_name": "paris_louvre_000307.jpg" + "id": 1447, + "file_name": "paris_invalides_000612.jpg" }, { - "id": 1451, - "file_name": "paris_pantheon_001107.jpg" + "id": 1464, + "file_name": "paris_defense_000043.jpg" }, { - "id": 1462, - "file_name": "paris_pantheon_000245.jpg" + "id": 1470, + "file_name": "paris_invalides_000211.jpg" }, { - "id": 1464, - "file_name": "paris_defense_000043.jpg" + "id": 1474, + "file_name": "paris_general_000934.jpg" + }, + { + "id": 1475, + "file_name": "paris_general_000664.jpg" + }, + { + "id": 1477, + "file_name": "paris_triomphe_000176.jpg" }, { "id": 1484, @@ -1174,6 +1262,10 @@ "id": 1488, "file_name": "paris_pantheon_000261.jpg" }, + { + "id": 1491, + "file_name": "paris_louvre_000297.jpg" + }, { "id": 1492, "file_name": "paris_general_002560.jpg" @@ -1186,6 +1278,10 @@ "id": 1504, "file_name": "paris_invalides_000562.jpg" }, + { + "id": 1509, + "file_name": "paris_invalides_000717.jpg" + }, { "id": 1510, "file_name": "paris_moulinrouge_000732.jpg" @@ -1198,21 +1294,13 @@ "id": 1516, "file_name": "paris_moulinrouge_000537.jpg" }, - { - "id": 1517, - "file_name": "paris_museedorsay_000044.jpg" - }, { "id": 1522, "file_name": "paris_general_003005.jpg" }, { - "id": 1532, - "file_name": "paris_eiffel_000078.jpg" - }, - { - "id": 1540, - "file_name": "paris_triomphe_000395.jpg" + "id": 1544, + "file_name": "paris_sacrecoeur_000065.jpg" }, { "id": 1548, @@ -1222,53 +1310,37 @@ "id": 1555, "file_name": "paris_pantheon_000702.jpg" }, - { - "id": 1557, - "file_name": "paris_general_000800.jpg" - }, { "id": 1558, "file_name": "paris_general_002641.jpg" }, { - "id": 1562, - "file_name": "paris_eiffel_000328.jpg" + "id": 1559, + "file_name": "paris_triomphe_001036.jpg" }, { - "id": 1566, - "file_name": "paris_moulinrouge_000601.jpg" + "id": 1561, + "file_name": "paris_louvre_000472.jpg" }, { "id": 1571, "file_name": "paris_general_002657.jpg" }, - { - "id": 1575, - "file_name": "paris_moulinrouge_000248.jpg" - }, - { - "id": 1583, - "file_name": "paris_pantheon_000714.jpg" - }, - { - "id": 1584, - "file_name": "paris_triomphe_000617.jpg" - }, { "id": 1585, "file_name": "paris_general_002820.jpg" }, - { - "id": 1595, - "file_name": "paris_invalides_000590.jpg" - }, { "id": 1599, "file_name": "paris_defense_000006.jpg" }, { - "id": 1602, - "file_name": "paris_general_000646.jpg" + "id": 1605, + "file_name": "paris_pantheon_000445.jpg" + }, + { + "id": 1607, + "file_name": "paris_invalides_000141.jpg" }, { "id": 1609, @@ -1278,6 +1350,10 @@ "id": 1618, "file_name": "paris_moulinrouge_000315.jpg" }, + { + "id": 1635, + "file_name": "paris_general_002231.jpg" + }, { "id": 1638, "file_name": "paris_moulinrouge_000423.jpg" @@ -1311,21 +1387,13 @@ "file_name": "paris_pantheon_000732.jpg" }, { - "id": 1679, - "file_name": "paris_triomphe_000458.jpg" + "id": 1678, + "file_name": "paris_pantheon_000216.jpg" }, { "id": 1687, "file_name": "paris_triomphe_001075.jpg" }, - { - "id": 1688, - "file_name": "paris_pantheon_000792.jpg" - }, - { - "id": 1689, - "file_name": "paris_general_002547.jpg" - }, { "id": 1692, "file_name": "paris_triomphe_000028.jpg" @@ -1338,6 +1406,14 @@ "id": 1705, "file_name": "paris_pompidou_000379.jpg" }, + { + "id": 1709, + "file_name": "paris_general_002103.jpg" + }, + { + "id": 1725, + "file_name": "paris_louvre_000161.jpg" + }, { "id": 1726, "file_name": "paris_invalides_000459.jpg" @@ -1346,18 +1422,10 @@ "id": 1729, "file_name": "paris_pantheon_001017.jpg" }, - { - "id": 1730, - "file_name": "paris_moulinrouge_000011.jpg" - }, { "id": 1731, "file_name": "paris_moulinrouge_000640.jpg" }, - { - "id": 1746, - "file_name": "paris_general_002247.jpg" - }, { "id": 1757, "file_name": "paris_general_002084.jpg" @@ -1367,8 +1435,8 @@ "file_name": "paris_louvre_000296.jpg" }, { - "id": 1772, - "file_name": "paris_triomphe_000373.jpg" + "id": 1765, + "file_name": "paris_moulinrouge_000162.jpg" }, { "id": 1778, @@ -1386,13 +1454,17 @@ "id": 1787, "file_name": "paris_louvre_000363.jpg" }, + { + "id": 1788, + "file_name": "paris_moulinrouge_000838.jpg" + }, { "id": 1801, "file_name": "paris_general_002418.jpg" }, { - "id": 1810, - "file_name": "paris_sacrecoeur_000419.jpg" + "id": 1826, + "file_name": "paris_sacrecoeur_000497.jpg" }, { "id": 1828, @@ -1403,16 +1475,20 @@ "file_name": "paris_sacrecoeur_000608.jpg" }, { - "id": 1839, - "file_name": "paris_moulinrouge_000303.jpg" + "id": 1855, + "file_name": "paris_eiffel_000230.jpg" }, { - "id": 1840, - "file_name": "paris_defense_000540.jpg" + "id": 1856, + "file_name": "paris_general_002522.jpg" }, { - "id": 1855, - "file_name": "paris_eiffel_000230.jpg" + "id": 1858, + "file_name": "paris_sacrecoeur_000007.jpg" + }, + { + "id": 1860, + "file_name": "paris_pantheon_000152.jpg" }, { "id": 1861, @@ -1423,25 +1499,21 @@ "file_name": "paris_invalides_000670.jpg" }, { - "id": 1871, - "file_name": "paris_invalides_000483.jpg" - }, - { - "id": 1879, - "file_name": "paris_invalides_000257.jpg" + "id": 1870, + "file_name": "paris_notredame_000604.jpg" }, { "id": 1881, "file_name": "paris_sacrecoeur_000685.jpg" }, - { - "id": 1887, - "file_name": "paris_eiffel_000309.jpg" - }, { "id": 1891, "file_name": "paris_moulinrouge_000385.jpg" }, + { + "id": 1911, + "file_name": "paris_eiffel_000286.jpg" + }, { "id": 1921, "file_name": "paris_sacrecoeur_000141.jpg" @@ -1451,33 +1523,33 @@ "file_name": "paris_general_001999.jpg" }, { - "id": 1937, - "file_name": "paris_notredame_000749.jpg" + "id": 1931, + "file_name": "paris_louvre_000142.jpg" }, { - "id": 1942, - "file_name": "paris_pompidou_000734.jpg" + "id": 1937, + "file_name": "paris_notredame_000749.jpg" }, { "id": 1943, "file_name": "paris_general_002963.jpg" }, + { + "id": 1949, + "file_name": "paris_sacrecoeur_000016.jpg" + }, { "id": 1950, "file_name": "paris_defense_000336.jpg" }, { - "id": 1969, - "file_name": "paris_general_002954.jpg" + "id": 1964, + "file_name": "paris_general_002609.jpg" }, { "id": 1970, "file_name": "paris_general_002224.jpg" }, - { - "id": 1971, - "file_name": "paris_general_001753.jpg" - }, { "id": 1981, "file_name": "paris_triomphe_000925.jpg" @@ -1486,10 +1558,6 @@ "id": 1982, "file_name": "paris_triomphe_000766.jpg" }, - { - "id": 1984, - "file_name": "paris_moulinrouge_000733.jpg" - }, { "id": 1986, "file_name": "paris_eiffel_000104.jpg" @@ -1510,34 +1578,46 @@ "id": 2005, "file_name": "paris_defense_000351.jpg" }, - { - "id": 2014, - "file_name": "paris_moulinrouge_000099.jpg" - }, { "id": 2015, "file_name": "paris_louvre_000467.jpg" }, { - "id": 2031, - "file_name": "paris_general_003136.jpg" + "id": 2024, + "file_name": "paris_eiffel_000177.jpg" }, { "id": 2040, "file_name": "paris_invalides_000428.jpg" }, { - "id": 2044, - "file_name": "paris_moulinrouge_000152.jpg" + "id": 2042, + "file_name": "paris_eiffel_000037.jpg" + }, + { + "id": 2043, + "file_name": "paris_triomphe_000429.jpg" + }, + { + "id": 2048, + "file_name": "paris_pantheon_000662.jpg" }, { "id": 2050, "file_name": "paris_pantheon_000235.jpg" }, + { + "id": 2052, + "file_name": "paris_notredame_000780.jpg" + }, { "id": 2055, "file_name": "paris_pompidou_000434.jpg" }, + { + "id": 2057, + "file_name": "paris_general_002032.jpg" + }, { "id": 2060, "file_name": "paris_invalides_000271.jpg" @@ -1546,13 +1626,29 @@ "id": 2063, "file_name": "paris_moulinrouge_000288.jpg" }, + { + "id": 2067, + "file_name": "paris_defense_000404.jpg" + }, + { + "id": 2072, + "file_name": "paris_museedorsay_001008.jpg" + }, + { + "id": 2074, + "file_name": "paris_general_002618.jpg" + }, { "id": 2080, "file_name": "paris_pompidou_000288.jpg" }, { - "id": 2102, - "file_name": "paris_moulinrouge_000233.jpg" + "id": 2082, + "file_name": "paris_pantheon_000267.jpg" + }, + { + "id": 2090, + "file_name": "paris_pantheon_001016.jpg" }, { "id": 2103, @@ -1562,6 +1658,10 @@ "id": 2107, "file_name": "paris_triomphe_000763.jpg" }, + { + "id": 2110, + "file_name": "paris_general_001931.jpg" + }, { "id": 2113, "file_name": "paris_eiffel_000110.jpg" @@ -1571,16 +1671,8 @@ "file_name": "paris_general_000201.jpg" }, { - "id": 2115, - "file_name": "paris_moulinrouge_000448.jpg" - }, - { - "id": 2122, - "file_name": "paris_pantheon_000982.jpg" - }, - { - "id": 2126, - "file_name": "paris_moulinrouge_000226.jpg" + "id": 2128, + "file_name": "paris_general_002966.jpg" }, { "id": 2140, @@ -1594,25 +1686,21 @@ "id": 2162, "file_name": "paris_pompidou_000629.jpg" }, - { - "id": 2163, - "file_name": "paris_louvre_000320.jpg" - }, { "id": 2191, "file_name": "paris_triomphe_000921.jpg" }, - { - "id": 2194, - "file_name": "paris_pantheon_000586.jpg" - }, { "id": 2195, "file_name": "paris_triomphe_000945.jpg" }, { - "id": 2214, - "file_name": "paris_invalides_000564.jpg" + "id": 2206, + "file_name": "paris_invalides_000124.jpg" + }, + { + "id": 2217, + "file_name": "paris_pantheon_000024.jpg" }, { "id": 2218, @@ -1622,26 +1710,30 @@ "id": 2219, "file_name": "paris_invalides_000197.jpg" }, + { + "id": 2227, + "file_name": "paris_general_001885.jpg" + }, { "id": 2230, "file_name": "paris_moulinrouge_000243.jpg" }, + { + "id": 2231, + "file_name": "paris_pantheon_000899.jpg" + }, { "id": 2238, "file_name": "paris_defense_000207.jpg" }, { - "id": 2243, - "file_name": "paris_triomphe_000659.jpg" + "id": 2246, + "file_name": "paris_pompidou_000349.jpg" }, { "id": 2249, "file_name": "paris_invalides_000342.jpg" }, - { - "id": 2251, - "file_name": "paris_moulinrouge_000158.jpg" - }, { "id": 2252, "file_name": "paris_eiffel_000091.jpg" @@ -1651,13 +1743,17 @@ "file_name": "paris_general_000854.jpg" }, { - "id": 2264, - "file_name": "paris_notredame_000751.jpg" + "id": 2260, + "file_name": "paris_triomphe_000354.jpg" }, { "id": 2273, "file_name": "paris_sacrecoeur_000535.jpg" }, + { + "id": 2278, + "file_name": "paris_general_002073.jpg" + }, { "id": 2279, "file_name": "paris_louvre_000292.jpg" @@ -1675,25 +1771,17 @@ "file_name": "paris_invalides_000070.jpg" }, { - "id": 2310, - "file_name": "paris_general_002237.jpg" + "id": 2312, + "file_name": "paris_sacrecoeur_000528.jpg" }, { - "id": 2311, - "file_name": "paris_triomphe_000569.jpg" - }, - { - "id": 2315, - "file_name": "paris_pantheon_000361.jpg" + "id": 2314, + "file_name": "paris_general_000021.jpg" }, { "id": 2319, "file_name": "paris_general_001019.jpg" }, - { - "id": 2320, - "file_name": "paris_defense_000197.jpg" - }, { "id": 2324, "file_name": "paris_pantheon_000159.jpg" @@ -1718,10 +1806,6 @@ "id": 2353, "file_name": "paris_invalides_000259.jpg" }, - { - "id": 2355, - "file_name": "paris_general_000207.jpg" - }, { "id": 2358, "file_name": "paris_louvre_000163.jpg" @@ -1734,6 +1818,10 @@ "id": 2370, "file_name": "paris_general_002387.jpg" }, + { + "id": 2373, + "file_name": "paris_invalides_000096.jpg" + }, { "id": 2374, "file_name": "paris_moulinrouge_000010.jpg" @@ -1751,12 +1839,12 @@ "file_name": "paris_louvre_000354.jpg" }, { - "id": 2406, - "file_name": "paris_eiffel_000135.jpg" + "id": 2394, + "file_name": "paris_moulinrouge_000586.jpg" }, { - "id": 2409, - "file_name": "paris_defense_000042.jpg" + "id": 2406, + "file_name": "paris_eiffel_000135.jpg" }, { "id": 2413, @@ -1767,8 +1855,8 @@ "file_name": "paris_general_001723.jpg" }, { - "id": 2432, - "file_name": "paris_defense_000277.jpg" + "id": 2422, + "file_name": "paris_sacrecoeur_000281.jpg" }, { "id": 2434, @@ -1782,10 +1870,6 @@ "id": 2439, "file_name": "paris_invalides_000616.jpg" }, - { - "id": 2442, - "file_name": "paris_pantheon_001136.jpg" - }, { "id": 2444, "file_name": "paris_general_000313.jpg" @@ -1794,22 +1878,14 @@ "id": 2453, "file_name": "paris_sacrecoeur_000152.jpg" }, - { - "id": 2464, - "file_name": "paris_invalides_000234.jpg" - }, - { - "id": 2465, - "file_name": "paris_moulinrouge_000295.jpg" - }, - { - "id": 2468, - "file_name": "paris_moulinrouge_000108.jpg" - }, { "id": 2475, "file_name": "paris_invalides_000091.jpg" }, + { + "id": 2479, + "file_name": "paris_eiffel_000000.jpg" + }, { "id": 2484, "file_name": "paris_notredame_000140.jpg" @@ -1822,33 +1898,21 @@ "id": 2501, "file_name": "paris_notredame_000214.jpg" }, - { - "id": 2516, - "file_name": "paris_general_002033.jpg" - }, - { - "id": 2517, - "file_name": "paris_invalides_000373.jpg" - }, { "id": 2522, "file_name": "paris_museedorsay_001012.jpg" }, - { - "id": 2527, - "file_name": "paris_moulinrouge_000252.jpg" - }, { "id": 2536, "file_name": "paris_defense_000286.jpg" }, { - "id": 2555, - "file_name": "paris_general_000376.jpg" + "id": 2546, + "file_name": "paris_defense_000259.jpg" }, { - "id": 2562, - "file_name": "paris_moulinrouge_000379.jpg" + "id": 2555, + "file_name": "paris_general_000376.jpg" }, { "id": 2565, @@ -1879,12 +1943,12 @@ "file_name": "paris_triomphe_000804.jpg" }, { - "id": 2612, - "file_name": "paris_moulinrouge_000267.jpg" + "id": 2607, + "file_name": "paris_invalides_000127.jpg" }, { - "id": 2615, - "file_name": "paris_invalides_000650.jpg" + "id": 2612, + "file_name": "paris_moulinrouge_000267.jpg" }, { "id": 2616, @@ -1894,6 +1958,10 @@ "id": 2631, "file_name": "paris_pantheon_000058.jpg" }, + { + "id": 2634, + "file_name": "paris_defense_000124.jpg" + }, { "id": 2639, "file_name": "paris_triomphe_001118.jpg" @@ -1902,10 +1970,6 @@ "id": 2642, "file_name": "paris_louvre_000375.jpg" }, - { - "id": 2654, - "file_name": "paris_pantheon_000290.jpg" - }, { "id": 2656, "file_name": "paris_defense_000516.jpg" @@ -1923,33 +1987,37 @@ "file_name": "paris_sacrecoeur_000306.jpg" }, { - "id": 2671, - "file_name": "paris_general_002782.jpg" + "id": 2669, + "file_name": "paris_louvre_000350.jpg" }, { "id": 2672, "file_name": "paris_general_002362.jpg" }, { - "id": 2679, - "file_name": "paris_triomphe_000534.jpg" + "id": 2676, + "file_name": "paris_triomphe_000664.jpg" + }, + { + "id": 2680, + "file_name": "paris_general_003148.jpg" + }, + { + "id": 2690, + "file_name": "paris_pantheon_000492.jpg" }, { "id": 2692, "file_name": "paris_moulinrouge_000220.jpg" }, { - "id": 2703, - "file_name": "paris_pantheon_000279.jpg" + "id": 2705, + "file_name": "paris_pompidou_000650.jpg" }, { "id": 2708, "file_name": "paris_invalides_000396.jpg" }, - { - "id": 2722, - "file_name": "paris_defense_000002.jpg" - }, { "id": 2723, "file_name": "paris_triomphe_000390.jpg" @@ -1962,10 +2030,18 @@ "id": 2729, "file_name": "paris_pantheon_000580.jpg" }, + { + "id": 2732, + "file_name": "paris_triomphe_000240.jpg" + }, { "id": 2733, "file_name": "paris_pantheon_000109.jpg" }, + { + "id": 2741, + "file_name": "paris_general_001211.jpg" + }, { "id": 2742, "file_name": "paris_general_002131.jpg" @@ -1974,10 +2050,6 @@ "id": 2743, "file_name": "paris_louvre_000312.jpg" }, - { - "id": 2744, - "file_name": "paris_invalides_000248.jpg" - }, { "id": 2745, "file_name": "paris_moulinrouge_000345.jpg" @@ -1998,53 +2070,57 @@ "id": 2766, "file_name": "paris_invalides_000291.jpg" }, - { - "id": 2771, - "file_name": "paris_sacrecoeur_000280.jpg" - }, { "id": 2772, "file_name": "paris_invalides_000159.jpg" }, { - "id": 2777, - "file_name": "paris_defense_000198.jpg" + "id": 2773, + "file_name": "paris_defense_000014.jpg" }, { - "id": 2783, - "file_name": "paris_defense_000063.jpg" + "id": 2774, + "file_name": "paris_general_003021.jpg" }, { - "id": 2800, - "file_name": "paris_eiffel_000012.jpg" + "id": 2782, + "file_name": "paris_general_000657.jpg" }, { - "id": 2803, - "file_name": "paris_general_002633.jpg" + "id": 2791, + "file_name": "paris_triomphe_000329.jpg" + }, + { + "id": 2800, + "file_name": "paris_eiffel_000012.jpg" }, { "id": 2804, "file_name": "paris_general_002490.jpg" }, + { + "id": 2805, + "file_name": "paris_general_002532.jpg" + }, { "id": 2812, "file_name": "paris_pompidou_000160.jpg" }, { - "id": 2819, - "file_name": "paris_louvre_000255.jpg" + "id": 2838, + "file_name": "paris_general_002911.jpg" }, { - "id": 2843, - "file_name": "paris_museedorsay_001069.jpg" + "id": 2839, + "file_name": "paris_triomphe_000381.jpg" }, { - "id": 2856, - "file_name": "paris_general_002404.jpg" + "id": 2842, + "file_name": "paris_sacrecoeur_000118.jpg" }, { - "id": 2858, - "file_name": "paris_triomphe_000471.jpg" + "id": 2856, + "file_name": "paris_general_002404.jpg" }, { "id": 2862, @@ -2054,29 +2130,13 @@ "id": 2867, "file_name": "paris_eiffel_000192.jpg" }, - { - "id": 2877, - "file_name": "paris_pompidou_000712.jpg" - }, - { - "id": 2882, - "file_name": "paris_general_002610.jpg" - }, { "id": 2907, "file_name": "paris_notredame_000594.jpg" }, { - "id": 2911, - "file_name": "paris_pantheon_000119.jpg" - }, - { - "id": 2915, - "file_name": "paris_general_002977.jpg" - }, - { - "id": 2919, - "file_name": "paris_invalides_000269.jpg" + "id": 2923, + "file_name": "paris_louvre_000248.jpg" }, { "id": 2925, @@ -2087,8 +2147,8 @@ "file_name": "paris_invalides_000457.jpg" }, { - "id": 2929, - "file_name": "paris_triomphe_000601.jpg" + "id": 2931, + "file_name": "paris_louvre_000043.jpg" }, { "id": 2945, @@ -2098,14 +2158,6 @@ "id": 2946, "file_name": "paris_triomphe_000167.jpg" }, - { - "id": 2948, - "file_name": "paris_louvre_000253.jpg" - }, - { - "id": 2956, - "file_name": "paris_sacrecoeur_000548.jpg" - }, { "id": 2958, "file_name": "paris_defense_000585.jpg" @@ -2118,14 +2170,6 @@ "id": 2969, "file_name": "paris_defense_000100.jpg" }, - { - "id": 2971, - "file_name": "paris_general_001930.jpg" - }, - { - "id": 2975, - "file_name": "paris_notredame_000282.jpg" - }, { "id": 2976, "file_name": "paris_general_001115.jpg" @@ -2142,10 +2186,6 @@ "id": 2980, "file_name": "paris_general_001776.jpg" }, - { - "id": 2992, - "file_name": "paris_eiffel_000168.jpg" - }, { "id": 2993, "file_name": "paris_general_002992.jpg" @@ -2187,8 +2227,8 @@ "file_name": "paris_eiffel_000046.jpg" }, { - "id": 3029, - "file_name": "paris_notredame_000648.jpg" + "id": 3034, + "file_name": "paris_notredame_000832.jpg" }, { "id": 3036, @@ -2202,6 +2242,14 @@ "id": 3040, "file_name": "paris_moulinrouge_000622.jpg" }, + { + "id": 3041, + "file_name": "paris_notredame_000886.jpg" + }, + { + "id": 3042, + "file_name": "paris_sacrecoeur_000663.jpg" + }, { "id": 3049, "file_name": "paris_general_001900.jpg" @@ -2227,12 +2275,8 @@ "file_name": "paris_moulinrouge_000151.jpg" }, { - "id": 3082, - "file_name": "paris_sacrecoeur_000515.jpg" - }, - { - "id": 3086, - "file_name": "paris_pantheon_000531.jpg" + "id": 3085, + "file_name": "paris_triomphe_000416.jpg" }, { "id": 3088, @@ -2242,14 +2286,6 @@ "id": 3089, "file_name": "paris_invalides_000684.jpg" }, - { - "id": 3092, - "file_name": "paris_invalides_000149.jpg" - }, - { - "id": 3100, - "file_name": "paris_pantheon_000122.jpg" - }, { "id": 3103, "file_name": "paris_triomphe_000306.jpg" @@ -2275,16 +2311,8 @@ "file_name": "paris_triomphe_000956.jpg" }, { - "id": 3146, - "file_name": "paris_invalides_000662.jpg" - }, - { - "id": 3148, - "file_name": "paris_triomphe_000618.jpg" - }, - { - "id": 3150, - "file_name": "paris_eiffel_000207.jpg" + "id": 3149, + "file_name": "paris_invalides_000123.jpg" }, { "id": 3151, @@ -2303,21 +2331,13 @@ "file_name": "paris_notredame_000512.jpg" }, { - "id": 3165, - "file_name": "paris_moulinrouge_000612.jpg" - }, - { - "id": 3168, - "file_name": "paris_invalides_000207.jpg" + "id": 3164, + "file_name": "paris_museedorsay_000738.jpg" }, { "id": 3176, "file_name": "paris_invalides_000106.jpg" }, - { - "id": 3178, - "file_name": "paris_general_002807.jpg" - }, { "id": 3180, "file_name": "paris_notredame_000009.jpg" @@ -2327,16 +2347,16 @@ "file_name": "paris_sacrecoeur_000506.jpg" }, { - "id": 3203, - "file_name": "paris_notredame_000855.jpg" + "id": 3196, + "file_name": "paris_defense_000227.jpg" }, { - "id": 3216, - "file_name": "paris_invalides_000657.jpg" + "id": 3215, + "file_name": "paris_invalides_000002.jpg" }, { - "id": 3217, - "file_name": "paris_moulinrouge_000559.jpg" + "id": 3216, + "file_name": "paris_invalides_000657.jpg" }, { "id": 3218, @@ -2351,12 +2371,12 @@ "file_name": "paris_moulinrouge_000709.jpg" }, { - "id": 3236, - "file_name": "paris_general_003062.jpg" + "id": 3231, + "file_name": "paris_defense_000498.jpg" }, { - "id": 3237, - "file_name": "paris_moulinrouge_000635.jpg" + "id": 3236, + "file_name": "paris_general_003062.jpg" }, { "id": 3240, @@ -2375,29 +2395,13 @@ "file_name": "paris_sacrecoeur_000495.jpg" }, { - "id": 3265, - "file_name": "paris_general_001445.jpg" + "id": 3264, + "file_name": "paris_triomphe_001083.jpg" }, { "id": 3268, "file_name": "paris_triomphe_000101.jpg" }, - { - "id": 3270, - "file_name": "paris_defense_000195.jpg" - }, - { - "id": 3276, - "file_name": "paris_triomphe_000665.jpg" - }, - { - "id": 3278, - "file_name": "paris_general_000226.jpg" - }, - { - "id": 3285, - "file_name": "paris_sacrecoeur_000279.jpg" - }, { "id": 3305, "file_name": "paris_general_000270.jpg" @@ -2426,6 +2430,10 @@ "id": 3330, "file_name": "paris_invalides_000148.jpg" }, + { + "id": 3339, + "file_name": "paris_general_001821.jpg" + }, { "id": 3341, "file_name": "paris_triomphe_000332.jpg" @@ -2435,8 +2443,16 @@ "file_name": "paris_louvre_000461.jpg" }, { - "id": 3355, - "file_name": "paris_general_000195.jpg" + "id": 3349, + "file_name": "paris_moulinrouge_000048.jpg" + }, + { + "id": 3351, + "file_name": "paris_sacrecoeur_000138.jpg" + }, + { + "id": 3356, + "file_name": "paris_notredame_000860.jpg" }, { "id": 3361, @@ -2451,12 +2467,16 @@ "file_name": "paris_louvre_000239.jpg" }, { - "id": 3370, - "file_name": "paris_pantheon_000310.jpg" + "id": 3378, + "file_name": "paris_defense_000573.jpg" }, { - "id": 3387, - "file_name": "paris_moulinrouge_000638.jpg" + "id": 3390, + "file_name": "paris_general_000297.jpg" + }, + { + "id": 3391, + "file_name": "paris_triomphe_000475.jpg" }, { "id": 3397, @@ -2467,8 +2487,8 @@ "file_name": "paris_general_003015.jpg" }, { - "id": 3402, - "file_name": "paris_triomphe_000407.jpg" + "id": 3403, + "file_name": "paris_sacrecoeur_000581.jpg" }, { "id": 3404, @@ -2478,18 +2498,10 @@ "id": 3411, "file_name": "paris_pompidou_000506.jpg" }, - { - "id": 3413, - "file_name": "paris_moulinrouge_000397.jpg" - }, { "id": 3418, "file_name": "paris_invalides_000015.jpg" }, - { - "id": 3424, - "file_name": "paris_pompidou_000518.jpg" - }, { "id": 3430, "file_name": "paris_triomphe_000427.jpg" @@ -2507,8 +2519,8 @@ "file_name": "paris_moulinrouge_000235.jpg" }, { - "id": 3436, - "file_name": "paris_notredame_000321.jpg" + "id": 3435, + "file_name": "paris_pantheon_000599.jpg" }, { "id": 3444, @@ -2522,18 +2534,10 @@ "id": 3457, "file_name": "paris_pantheon_000223.jpg" }, - { - "id": 3467, - "file_name": "paris_eiffel_000212.jpg" - }, { "id": 3468, "file_name": "paris_sacrecoeur_000089.jpg" }, - { - "id": 3471, - "file_name": "paris_louvre_000054.jpg" - }, { "id": 3473, "file_name": "paris_pompidou_000325.jpg" @@ -2543,17 +2547,25 @@ "file_name": "paris_notredame_000195.jpg" }, { - "id": 3490, - "file_name": "paris_general_002697.jpg" + "id": 3486, + "file_name": "paris_moulinrouge_000234.jpg" }, { "id": 3492, "file_name": "paris_triomphe_000589.jpg" }, + { + "id": 3493, + "file_name": "paris_defense_000592.jpg" + }, { "id": 3497, "file_name": "paris_moulinrouge_000427.jpg" }, + { + "id": 3501, + "file_name": "paris_louvre_000177.jpg" + }, { "id": 3503, "file_name": "paris_general_000382.jpg" @@ -2567,8 +2579,8 @@ "file_name": "paris_moulinrouge_000082.jpg" }, { - "id": 3518, - "file_name": "paris_moulinrouge_000113.jpg" + "id": 3512, + "file_name": "paris_eiffel_000094.jpg" }, { "id": 3527, @@ -2578,6 +2590,10 @@ "id": 3531, "file_name": "paris_defense_000352.jpg" }, + { + "id": 3543, + "file_name": "paris_invalides_000302.jpg" + }, { "id": 3544, "file_name": "paris_sacrecoeur_000367.jpg" @@ -2594,6 +2610,10 @@ "id": 3554, "file_name": "paris_pompidou_000699.jpg" }, + { + "id": 3561, + "file_name": "paris_pantheon_000186.jpg" + }, { "id": 3568, "file_name": "paris_defense_000079.jpg" @@ -2618,6 +2638,10 @@ "id": 3585, "file_name": "paris_sacrecoeur_000145.jpg" }, + { + "id": 3592, + "file_name": "paris_notredame_000171.jpg" + }, { "id": 3596, "file_name": "paris_invalides_000067.jpg" @@ -2634,10 +2658,6 @@ "id": 3618, "file_name": "paris_notredame_000001.jpg" }, - { - "id": 3619, - "file_name": "paris_moulinrouge_000214.jpg" - }, { "id": 3624, "file_name": "paris_triomphe_000600.jpg" @@ -2654,10 +2674,6 @@ "id": 3644, "file_name": "paris_defense_000385.jpg" }, - { - "id": 3649, - "file_name": "paris_sacrecoeur_000578.jpg" - }, { "id": 3657, "file_name": "paris_louvre_000111.jpg" @@ -2667,17 +2683,29 @@ "file_name": "paris_general_001728.jpg" }, { - "id": 3671, - "file_name": "paris_general_000737.jpg" + "id": 3674, + "file_name": "paris_general_002398.jpg" }, { "id": 3690, "file_name": "paris_louvre_000410.jpg" }, + { + "id": 3692, + "file_name": "paris_invalides_000292.jpg" + }, + { + "id": 3699, + "file_name": "paris_triomphe_000676.jpg" + }, { "id": 3703, "file_name": "paris_moulinrouge_000283.jpg" }, + { + "id": 3712, + "file_name": "paris_louvre_000277.jpg" + }, { "id": 3714, "file_name": "paris_general_001869.jpg" @@ -2694,14 +2722,14 @@ "id": 3737, "file_name": "paris_general_001645.jpg" }, - { - "id": 3748, - "file_name": "paris_defense_000191.jpg" - }, { "id": 3749, "file_name": "paris_triomphe_000206.jpg" }, + { + "id": 3750, + "file_name": "paris_invalides_000676.jpg" + }, { "id": 3755, "file_name": "paris_sacrecoeur_000301.jpg" @@ -2710,14 +2738,18 @@ "id": 3764, "file_name": "paris_notredame_000936.jpg" }, - { - "id": 3765, - "file_name": "paris_moulinrouge_000255.jpg" - }, { "id": 3768, "file_name": "paris_louvre_000308.jpg" }, + { + "id": 3770, + "file_name": "paris_general_002335.jpg" + }, + { + "id": 3772, + "file_name": "paris_defense_000445.jpg" + }, { "id": 3774, "file_name": "paris_general_000528.jpg" @@ -2727,28 +2759,20 @@ "file_name": "paris_moulinrouge_000750.jpg" }, { - "id": 3789, - "file_name": "paris_moulinrouge_000495.jpg" + "id": 3788, + "file_name": "paris_louvre_000148.jpg" }, { "id": 3796, "file_name": "paris_general_001876.jpg" }, - { - "id": 3799, - "file_name": "paris_moulinrouge_000106.jpg" - }, { "id": 3804, "file_name": "paris_notredame_000320.jpg" }, { - "id": 3811, - "file_name": "paris_louvre_000438.jpg" - }, - { - "id": 3818, - "file_name": "paris_moulinrouge_000572.jpg" + "id": 3816, + "file_name": "paris_eiffel_000174.jpg" }, { "id": 3822, @@ -2758,6 +2782,10 @@ "id": 3833, "file_name": "paris_moulinrouge_000542.jpg" }, + { + "id": 3834, + "file_name": "paris_general_002509.jpg" + }, { "id": 3841, "file_name": "paris_invalides_000402.jpg" @@ -2766,6 +2794,10 @@ "id": 3846, "file_name": "paris_pantheon_001013.jpg" }, + { + "id": 3847, + "file_name": "paris_general_002691.jpg" + }, { "id": 3853, "file_name": "paris_invalides_000477.jpg" @@ -2782,14 +2814,22 @@ "id": 3876, "file_name": "paris_moulinrouge_000517.jpg" }, - { - "id": 3880, - "file_name": "paris_defense_000505.jpg" - }, { "id": 3881, "file_name": "paris_triomphe_000689.jpg" }, + { + "id": 3886, + "file_name": "paris_general_002428.jpg" + }, + { + "id": 3893, + "file_name": "paris_moulinrouge_000251.jpg" + }, + { + "id": 3895, + "file_name": "paris_moulinrouge_000317.jpg" + }, { "id": 3897, "file_name": "paris_triomphe_000860.jpg" @@ -2798,6 +2838,10 @@ "id": 3901, "file_name": "paris_general_002520.jpg" }, + { + "id": 3902, + "file_name": "paris_defense_000408.jpg" + }, { "id": 3904, "file_name": "paris_louvre_000189.jpg" @@ -2806,37 +2850,33 @@ "id": 3920, "file_name": "paris_invalides_000312.jpg" }, - { - "id": 3925, - "file_name": "paris_sacrecoeur_000407.jpg" - }, { "id": 3927, "file_name": "paris_sacrecoeur_000438.jpg" }, { - "id": 3941, - "file_name": "paris_triomphe_000875.jpg" + "id": 3934, + "file_name": "paris_notredame_000231.jpg" }, { "id": 3943, "file_name": "paris_louvre_000061.jpg" }, { - "id": 3950, - "file_name": "paris_triomphe_000404.jpg" + "id": 3947, + "file_name": "paris_triomphe_000004.jpg" }, { - "id": 3959, - "file_name": "paris_sacrecoeur_000355.jpg" + "id": 3950, + "file_name": "paris_triomphe_000404.jpg" }, { - "id": 3961, - "file_name": "paris_triomphe_000691.jpg" + "id": 3951, + "file_name": "paris_invalides_000294.jpg" }, { - "id": 3964, - "file_name": "paris_general_000547.jpg" + "id": 3959, + "file_name": "paris_sacrecoeur_000355.jpg" }, { "id": 3970, @@ -2855,16 +2895,16 @@ "file_name": "paris_notredame_000830.jpg" }, { - "id": 3990, - "file_name": "paris_pantheon_000401.jpg" + "id": 3997, + "file_name": "paris_defense_000169.jpg" }, { - "id": 4017, - "file_name": "paris_triomphe_000333.jpg" + "id": 4010, + "file_name": "paris_general_002765.jpg" }, { - "id": 4020, - "file_name": "paris_pantheon_000164.jpg" + "id": 4017, + "file_name": "paris_triomphe_000333.jpg" }, { "id": 4022, @@ -2874,6 +2914,10 @@ "id": 4029, "file_name": "paris_moulinrouge_000426.jpg" }, + { + "id": 4032, + "file_name": "paris_defense_000144.jpg" + }, { "id": 4034, "file_name": "paris_louvre_000017.jpg" @@ -2882,14 +2926,18 @@ "id": 4047, "file_name": "paris_invalides_000458.jpg" }, - { - "id": 4051, - "file_name": "paris_moulinrouge_000844.jpg" - }, { "id": 4054, "file_name": "paris_defense_000090.jpg" }, + { + "id": 4056, + "file_name": "paris_defense_000232.jpg" + }, + { + "id": 4061, + "file_name": "paris_louvre_000332.jpg" + }, { "id": 4063, "file_name": "paris_invalides_000495.jpg" @@ -2919,69 +2967,45 @@ "file_name": "paris_louvre_000074.jpg" }, { - "id": 4086, - "file_name": "paris_defense_000035.jpg" - }, - { - "id": 4096, - "file_name": "paris_moulinrouge_000624.jpg" - }, - { - "id": 4099, - "file_name": "paris_defense_000544.jpg" + "id": 4094, + "file_name": "paris_notredame_000327.jpg" }, { "id": 4103, "file_name": "paris_museedorsay_000599.jpg" }, { - "id": 4109, - "file_name": "paris_triomphe_000747.jpg" - }, - { - "id": 4111, - "file_name": "paris_louvre_000389.jpg" + "id": 4106, + "file_name": "paris_notredame_000837.jpg" }, { "id": 4118, "file_name": "paris_eiffel_000176.jpg" }, { - "id": 4128, - "file_name": "paris_invalides_000617.jpg" + "id": 4124, + "file_name": "paris_moulinrouge_000027.jpg" }, { - "id": 4130, - "file_name": "paris_moulinrouge_000515.jpg" + "id": 4128, + "file_name": "paris_invalides_000617.jpg" }, { "id": 4133, "file_name": "paris_eiffel_000180.jpg" }, - { - "id": 4134, - "file_name": "paris_general_002192.jpg" - }, { "id": 4135, "file_name": "paris_invalides_000023.jpg" }, { - "id": 4141, - "file_name": "paris_triomphe_000043.jpg" + "id": 4136, + "file_name": "paris_moulinrouge_000456.jpg" }, { "id": 4143, "file_name": "paris_sacrecoeur_000109.jpg" }, - { - "id": 4145, - "file_name": "paris_sacrecoeur_000252.jpg" - }, - { - "id": 4149, - "file_name": "paris_invalides_000128.jpg" - }, { "id": 4157, "file_name": "paris_museedorsay_000334.jpg" @@ -3003,8 +3027,12 @@ "file_name": "paris_triomphe_000924.jpg" }, { - "id": 4181, - "file_name": "paris_general_001960.jpg" + "id": 4190, + "file_name": "paris_sacrecoeur_000210.jpg" + }, + { + "id": 4191, + "file_name": "paris_general_000372.jpg" }, { "id": 4202, @@ -3022,30 +3050,22 @@ "id": 4210, "file_name": "paris_general_002205.jpg" }, - { - "id": 4215, - "file_name": "paris_general_001675.jpg" - }, { "id": 4218, "file_name": "paris_eiffel_000223.jpg" }, { - "id": 4221, - "file_name": "paris_invalides_000651.jpg" + "id": 4219, + "file_name": "paris_pantheon_000040.jpg" }, { - "id": 4229, - "file_name": "paris_general_000408.jpg" + "id": 4223, + "file_name": "paris_pompidou_000312.jpg" }, { "id": 4231, "file_name": "paris_moulinrouge_000486.jpg" }, - { - "id": 4237, - "file_name": "paris_general_001265.jpg" - }, { "id": 4242, "file_name": "paris_moulinrouge_000261.jpg" @@ -3058,10 +3078,6 @@ "id": 4246, "file_name": "paris_moulinrouge_000136.jpg" }, - { - "id": 4254, - "file_name": "paris_general_002784.jpg" - }, { "id": 4258, "file_name": "paris_moulinrouge_000527.jpg" @@ -3079,16 +3095,24 @@ "file_name": "paris_defense_000034.jpg" }, { - "id": 4279, - "file_name": "paris_general_000004.jpg" + "id": 4271, + "file_name": "paris_general_000388.jpg" }, { "id": 4291, "file_name": "paris_triomphe_000166.jpg" }, { - "id": 4322, - "file_name": "paris_pantheon_000954.jpg" + "id": 4301, + "file_name": "paris_general_002856.jpg" + }, + { + "id": 4319, + "file_name": "paris_pompidou_000398.jpg" + }, + { + "id": 4327, + "file_name": "paris_general_002234.jpg" }, { "id": 4328, @@ -3106,6 +3130,10 @@ "id": 4342, "file_name": "paris_pantheon_000744.jpg" }, + { + "id": 4348, + "file_name": "paris_general_003086.jpg" + }, { "id": 4357, "file_name": "paris_moulinrouge_000549.jpg" @@ -3115,20 +3143,16 @@ "file_name": "paris_moulinrouge_000650.jpg" }, { - "id": 4369, - "file_name": "paris_moulinrouge_000022.jpg" - }, - { - "id": 4372, - "file_name": "paris_notredame_000698.jpg" + "id": 4365, + "file_name": "paris_defense_000105.jpg" }, { - "id": 4374, - "file_name": "paris_eiffel_000285.jpg" + "id": 4369, + "file_name": "paris_moulinrouge_000022.jpg" }, { - "id": 4377, - "file_name": "paris_triomphe_000448.jpg" + "id": 4378, + "file_name": "paris_invalides_000290.jpg" }, { "id": 4389, @@ -3147,25 +3171,21 @@ "file_name": "paris_invalides_000621.jpg" }, { - "id": 4416, - "file_name": "paris_eiffel_000185.jpg" + "id": 4441, + "file_name": "paris_louvre_000411.jpg" }, { - "id": 4421, - "file_name": "paris_moulinrouge_000373.jpg" + "id": 4445, + "file_name": "paris_general_001560.jpg" }, { - "id": 4441, - "file_name": "paris_louvre_000411.jpg" + "id": 4453, + "file_name": "paris_invalides_000055.jpg" }, { "id": 4456, "file_name": "paris_triomphe_000496.jpg" }, - { - "id": 4457, - "file_name": "paris_pompidou_000739.jpg" - }, { "id": 4462, "file_name": "paris_eiffel_000219.jpg" @@ -3182,6 +3202,10 @@ "id": 4469, "file_name": "paris_defense_000175.jpg" }, + { + "id": 4489, + "file_name": "paris_triomphe_000797.jpg" + }, { "id": 4491, "file_name": "paris_general_002661.jpg" @@ -3203,8 +3227,12 @@ "file_name": "paris_defense_000093.jpg" }, { - "id": 4509, - "file_name": "paris_notredame_000204.jpg" + "id": 4510, + "file_name": "paris_general_002714.jpg" + }, + { + "id": 4529, + "file_name": "paris_louvre_000206.jpg" }, { "id": 4532, @@ -3227,8 +3255,16 @@ "file_name": "paris_sacrecoeur_000360.jpg" }, { - "id": 4573, - "file_name": "paris_moulinrouge_000648.jpg" + "id": 4566, + "file_name": "paris_moulinrouge_000594.jpg" + }, + { + "id": 4574, + "file_name": "paris_triomphe_000300.jpg" + }, + { + "id": 4575, + "file_name": "paris_general_001620.jpg" }, { "id": 4577, @@ -3239,12 +3275,12 @@ "file_name": "paris_louvre_000250.jpg" }, { - "id": 4598, - "file_name": "paris_general_002459.jpg" + "id": 4588, + "file_name": "paris_sacrecoeur_000386.jpg" }, { - "id": 4599, - "file_name": "paris_general_001538.jpg" + "id": 4604, + "file_name": "paris_louvre_000096.jpg" }, { "id": 4606, @@ -3258,14 +3294,18 @@ "id": 4628, "file_name": "paris_pantheon_000781.jpg" }, - { - "id": 4631, - "file_name": "paris_notredame_000342.jpg" - }, { "id": 4632, "file_name": "paris_general_003115.jpg" }, + { + "id": 4636, + "file_name": "paris_defense_000215.jpg" + }, + { + "id": 4648, + "file_name": "paris_invalides_000295.jpg" + }, { "id": 4652, "file_name": "paris_louvre_000425.jpg" @@ -3274,14 +3314,14 @@ "id": 4665, "file_name": "paris_pantheon_000013.jpg" }, - { - "id": 4667, - "file_name": "paris_sacrecoeur_000640.jpg" - }, { "id": 4670, "file_name": "paris_museedorsay_000624.jpg" }, + { + "id": 4674, + "file_name": "paris_eiffel_000167.jpg" + }, { "id": 4691, "file_name": "paris_general_000744.jpg" @@ -3291,28 +3331,28 @@ "file_name": "paris_defense_000102.jpg" }, { - "id": 4700, - "file_name": "paris_sacrecoeur_000298.jpg" - }, - { - "id": 4701, - "file_name": "paris_general_000089.jpg" + "id": 4704, + "file_name": "paris_triomphe_000005.jpg" }, { "id": 4718, "file_name": "paris_sacrecoeur_000302.jpg" }, + { + "id": 4721, + "file_name": "paris_general_002377.jpg" + }, { "id": 4728, "file_name": "paris_eiffel_000153.jpg" }, { - "id": 4733, - "file_name": "paris_triomphe_000415.jpg" + "id": 4732, + "file_name": "paris_pantheon_001050.jpg" }, { - "id": 4737, - "file_name": "paris_moulinrouge_000498.jpg" + "id": 4733, + "file_name": "paris_triomphe_000415.jpg" }, { "id": 4739, @@ -3322,18 +3362,14 @@ "id": 4746, "file_name": "paris_pantheon_000367.jpg" }, - { - "id": 4747, - "file_name": "paris_invalides_000056.jpg" - }, - { - "id": 4749, - "file_name": "paris_invalides_000081.jpg" - }, { "id": 4752, "file_name": "paris_moulinrouge_000438.jpg" }, + { + "id": 4758, + "file_name": "paris_moulinrouge_000006.jpg" + }, { "id": 4759, "file_name": "paris_general_000110.jpg" @@ -3342,6 +3378,10 @@ "id": 4770, "file_name": "paris_louvre_000271.jpg" }, + { + "id": 4779, + "file_name": "paris_pompidou_000347.jpg" + }, { "id": 4780, "file_name": "paris_general_002372.jpg" @@ -3362,10 +3402,6 @@ "id": 4790, "file_name": "paris_eiffel_000284.jpg" }, - { - "id": 4793, - "file_name": "paris_museedorsay_000453.jpg" - }, { "id": 4794, "file_name": "paris_invalides_000044.jpg" @@ -3374,38 +3410,18 @@ "id": 4795, "file_name": "paris_triomphe_000726.jpg" }, - { - "id": 4805, - "file_name": "paris_triomphe_000721.jpg" - }, { "id": 4807, "file_name": "paris_defense_000000.jpg" }, - { - "id": 4811, - "file_name": "paris_triomphe_000631.jpg" - }, { "id": 4813, "file_name": "paris_general_002751.jpg" }, - { - "id": 4816, - "file_name": "paris_sacrecoeur_000304.jpg" - }, - { - "id": 4819, - "file_name": "paris_invalides_000716.jpg" - }, { "id": 4826, "file_name": "paris_invalides_000715.jpg" }, - { - "id": 4829, - "file_name": "paris_general_002267.jpg" - }, { "id": 4832, "file_name": "paris_louvre_000352.jpg" @@ -3414,6 +3430,10 @@ "id": 4836, "file_name": "paris_pompidou_000672.jpg" }, + { + "id": 4842, + "file_name": "paris_triomphe_000653.jpg" + }, { "id": 4843, "file_name": "paris_triomphe_000787.jpg" @@ -3423,36 +3443,28 @@ "file_name": "paris_eiffel_000254.jpg" }, { - "id": 4850, - "file_name": "paris_invalides_000573.jpg" - }, - { - "id": 4853, - "file_name": "paris_moulinrouge_000525.jpg" - }, - { - "id": 4854, - "file_name": "paris_louvre_000104.jpg" + "id": 4849, + "file_name": "paris_museedorsay_000887.jpg" }, { - "id": 4867, - "file_name": "paris_pantheon_000616.jpg" + "id": 4850, + "file_name": "paris_invalides_000573.jpg" }, { "id": 4876, "file_name": "paris_general_001919.jpg" }, { - "id": 4879, - "file_name": "paris_notredame_000757.jpg" + "id": 4877, + "file_name": "paris_general_003149.jpg" }, { - "id": 4882, - "file_name": "paris_pompidou_000426.jpg" + "id": 4879, + "file_name": "paris_notredame_000757.jpg" }, { - "id": 4894, - "file_name": "paris_general_000836.jpg" + "id": 4890, + "file_name": "paris_moulinrouge_000641.jpg" }, { "id": 4899, @@ -3462,6 +3474,10 @@ "id": 4901, "file_name": "paris_triomphe_000417.jpg" }, + { + "id": 4905, + "file_name": "paris_moulinrouge_000855.jpg" + }, { "id": 4906, "file_name": "paris_invalides_000274.jpg" @@ -3479,20 +3495,20 @@ "file_name": "paris_moulinrouge_000026.jpg" }, { - "id": 4924, - "file_name": "paris_museedorsay_001047.jpg" + "id": 4930, + "file_name": "paris_triomphe_001086.jpg" }, { "id": 4939, "file_name": "paris_moulinrouge_000524.jpg" }, { - "id": 4945, - "file_name": "paris_invalides_000361.jpg" + "id": 4943, + "file_name": "paris_triomphe_001081.jpg" }, { - "id": 4946, - "file_name": "paris_triomphe_001066.jpg" + "id": 4945, + "file_name": "paris_invalides_000361.jpg" }, { "id": 4948, @@ -3502,10 +3518,26 @@ "id": 4950, "file_name": "paris_invalides_000642.jpg" }, + { + "id": 4958, + "file_name": "paris_pompidou_000703.jpg" + }, + { + "id": 4967, + "file_name": "paris_louvre_000310.jpg" + }, { "id": 4985, "file_name": "paris_sacrecoeur_000637.jpg" }, + { + "id": 4986, + "file_name": "paris_invalides_000304.jpg" + }, + { + "id": 4987, + "file_name": "paris_invalides_000268.jpg" + }, { "id": 4988, "file_name": "paris_louvre_000032.jpg" @@ -3523,24 +3555,24 @@ "file_name": "paris_triomphe_000371.jpg" }, { - "id": 4996, - "file_name": "paris_notredame_000110.jpg" + "id": 4994, + "file_name": "paris_pantheon_000721.jpg" }, { - "id": 5003, - "file_name": "paris_moulinrouge_000623.jpg" + "id": 4996, + "file_name": "paris_notredame_000110.jpg" }, { "id": 5015, "file_name": "paris_general_002443.jpg" }, { - "id": 5019, - "file_name": "paris_invalides_000252.jpg" + "id": 5017, + "file_name": "paris_moulinrouge_000392.jpg" }, { - "id": 5020, - "file_name": "paris_moulinrouge_000735.jpg" + "id": 5019, + "file_name": "paris_invalides_000252.jpg" }, { "id": 5021, @@ -3550,10 +3582,6 @@ "id": 5057, "file_name": "paris_triomphe_000079.jpg" }, - { - "id": 5060, - "file_name": "paris_louvre_000181.jpg" - }, { "id": 5061, "file_name": "paris_invalides_000376.jpg" @@ -3571,12 +3599,16 @@ "file_name": "paris_general_001855.jpg" }, { - "id": 5077, - "file_name": "paris_louvre_000186.jpg" + "id": 5068, + "file_name": "paris_museedorsay_000074.jpg" }, { - "id": 5083, - "file_name": "paris_triomphe_000261.jpg" + "id": 5071, + "file_name": "paris_notredame_000835.jpg" + }, + { + "id": 5077, + "file_name": "paris_louvre_000186.jpg" }, { "id": 5090, @@ -3586,18 +3618,10 @@ "id": 5103, "file_name": "paris_invalides_000247.jpg" }, - { - "id": 5104, - "file_name": "paris_museedorsay_001013.jpg" - }, { "id": 5107, "file_name": "paris_triomphe_001120.jpg" }, - { - "id": 5110, - "file_name": "paris_pantheon_000567.jpg" - }, { "id": 5129, "file_name": "paris_triomphe_001113.jpg" @@ -3606,14 +3630,6 @@ "id": 5147, "file_name": "paris_sacrecoeur_000396.jpg" }, - { - "id": 5152, - "file_name": "paris_triomphe_000226.jpg" - }, - { - "id": 5153, - "file_name": "paris_moulinrouge_000015.jpg" - }, { "id": 5161, "file_name": "paris_pantheon_000135.jpg" @@ -3634,6 +3650,10 @@ "id": 5175, "file_name": "paris_sacrecoeur_000164.jpg" }, + { + "id": 5176, + "file_name": "paris_general_000342.jpg" + }, { "id": 5181, "file_name": "paris_triomphe_000500.jpg" @@ -3666,30 +3686,10 @@ "id": 5205, "file_name": "paris_notredame_000559.jpg" }, - { - "id": 5218, - "file_name": "paris_general_000150.jpg" - }, - { - "id": 5223, - "file_name": "paris_general_000960.jpg" - }, - { - "id": 5228, - "file_name": "paris_pompidou_000516.jpg" - }, - { - "id": 5232, - "file_name": "paris_triomphe_000082.jpg" - }, { "id": 5247, "file_name": "paris_sacrecoeur_000314.jpg" }, - { - "id": 5248, - "file_name": "paris_invalides_000008.jpg" - }, { "id": 5255, "file_name": "paris_pantheon_001065.jpg" @@ -3703,12 +3703,12 @@ "file_name": "paris_louvre_000340.jpg" }, { - "id": 5263, - "file_name": "paris_defense_000125.jpg" + "id": 5261, + "file_name": "paris_pantheon_000449.jpg" }, { - "id": 5265, - "file_name": "paris_general_001317.jpg" + "id": 5263, + "file_name": "paris_defense_000125.jpg" }, { "id": 5277, @@ -3723,29 +3723,29 @@ "file_name": "paris_notredame_000628.jpg" }, { - "id": 5289, - "file_name": "paris_louvre_000351.jpg" + "id": 5292, + "file_name": "paris_defense_000192.jpg" }, { "id": 5303, "file_name": "paris_invalides_000348.jpg" }, + { + "id": 5307, + "file_name": "paris_pantheon_000383.jpg" + }, { "id": 5310, "file_name": "paris_eiffel_000116.jpg" }, { - "id": 5326, - "file_name": "paris_sacrecoeur_000671.jpg" + "id": 5314, + "file_name": "paris_triomphe_000612.jpg" }, { "id": 5327, "file_name": "paris_sacrecoeur_000245.jpg" }, - { - "id": 5332, - "file_name": "paris_triomphe_000712.jpg" - }, { "id": 5350, "file_name": "paris_notredame_000772.jpg" @@ -3759,32 +3759,32 @@ "file_name": "paris_general_002108.jpg" }, { - "id": 5368, - "file_name": "paris_general_000350.jpg" - }, - { - "id": 5378, - "file_name": "paris_defense_000285.jpg" - }, - { - "id": 5379, - "file_name": "paris_sacrecoeur_000649.jpg" + "id": 5390, + "file_name": "paris_invalides_000048.jpg" }, { "id": 5401, "file_name": "paris_general_002445.jpg" }, { - "id": 5411, - "file_name": "paris_moulinrouge_000433.jpg" + "id": 5403, + "file_name": "paris_moulinrouge_000296.jpg" + }, + { + "id": 5424, + "file_name": "paris_general_000306.jpg" }, { "id": 5426, "file_name": "paris_louvre_000419.jpg" }, { - "id": 5433, - "file_name": "paris_general_003140.jpg" + "id": 5427, + "file_name": "paris_sacrecoeur_000078.jpg" + }, + { + "id": 5432, + "file_name": "paris_eiffel_000004.jpg" }, { "id": 5448, @@ -3798,10 +3798,6 @@ "id": 5460, "file_name": "paris_invalides_000362.jpg" }, - { - "id": 5461, - "file_name": "paris_notredame_000779.jpg" - }, { "id": 5462, "file_name": "paris_defense_000036.jpg" @@ -3814,14 +3810,6 @@ "id": 5494, "file_name": "paris_general_000355.jpg" }, - { - "id": 5497, - "file_name": "paris_notredame_000133.jpg" - }, - { - "id": 5500, - "file_name": "paris_moulinrouge_000095.jpg" - }, { "id": 5503, "file_name": "paris_general_001788.jpg" @@ -3831,12 +3819,12 @@ "file_name": "paris_moulinrouge_000356.jpg" }, { - "id": 5531, - "file_name": "paris_pantheon_000241.jpg" + "id": 5524, + "file_name": "paris_invalides_000223.jpg" }, { - "id": 5536, - "file_name": "paris_triomphe_000324.jpg" + "id": 5526, + "file_name": "paris_notredame_000568.jpg" }, { "id": 5542, @@ -3846,6 +3834,10 @@ "id": 5545, "file_name": "paris_invalides_000085.jpg" }, + { + "id": 5546, + "file_name": "paris_invalides_000232.jpg" + }, { "id": 5559, "file_name": "paris_eiffel_000290.jpg" @@ -3863,8 +3855,8 @@ "file_name": "paris_general_000107.jpg" }, { - "id": 5579, - "file_name": "paris_sacrecoeur_000017.jpg" + "id": 5576, + "file_name": "paris_triomphe_000413.jpg" }, { "id": 5581, @@ -3874,26 +3866,10 @@ "id": 5583, "file_name": "paris_general_000754.jpg" }, - { - "id": 5584, - "file_name": "paris_triomphe_000003.jpg" - }, { "id": 5585, "file_name": "paris_sacrecoeur_000370.jpg" }, - { - "id": 5591, - "file_name": "paris_louvre_000237.jpg" - }, - { - "id": 5600, - "file_name": "paris_moulinrouge_000551.jpg" - }, - { - "id": 5606, - "file_name": "paris_eiffel_000170.jpg" - }, { "id": 5621, "file_name": "paris_invalides_000272.jpg" @@ -3902,26 +3878,10 @@ "id": 5628, "file_name": "paris_general_002217.jpg" }, - { - "id": 5632, - "file_name": "paris_defense_000070.jpg" - }, { "id": 5639, "file_name": "paris_general_001993.jpg" }, - { - "id": 5642, - "file_name": "paris_pantheon_000670.jpg" - }, - { - "id": 5645, - "file_name": "paris_general_000303.jpg" - }, - { - "id": 5662, - "file_name": "paris_sacrecoeur_000047.jpg" - }, { "id": 5669, "file_name": "paris_notredame_000874.jpg" @@ -3942,18 +3902,26 @@ "id": 5709, "file_name": "paris_defense_000569.jpg" }, + { + "id": 5710, + "file_name": "paris_defense_000170.jpg" + }, { "id": 5713, "file_name": "paris_invalides_000313.jpg" }, { - "id": 5734, - "file_name": 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"file_name": "paris_defense_000050.jpg" }, { "id": 5820, @@ -4026,14 +3994,6 @@ "id": 5838, "file_name": "paris_notredame_000039.jpg" }, - { - "id": 5839, - "file_name": "paris_pantheon_000107.jpg" - }, - { - "id": 5845, - "file_name": "paris_moulinrouge_000121.jpg" - }, { "id": 5849, "file_name": "paris_invalides_000166.jpg" @@ -4047,53 +4007,41 @@ "file_name": "paris_invalides_000439.jpg" }, { - "id": 5863, - "file_name": "paris_museedorsay_000924.jpg" + "id": 5860, + "file_name": "paris_general_002290.jpg" }, { - "id": 5867, - "file_name": "paris_notredame_000179.jpg" - }, - { - "id": 5901, - "file_name": "paris_museedorsay_000325.jpg" + "id": 5882, + "file_name": "paris_defense_000332.jpg" }, { - "id": 5902, - "file_name": "paris_triomphe_000254.jpg" + "id": 5900, + "file_name": "paris_defense_000201.jpg" }, { - "id": 5904, - "file_name": "paris_general_002282.jpg" + "id": 5901, + "file_name": "paris_museedorsay_000325.jpg" }, { "id": 5919, "file_name": "paris_defense_000503.jpg" 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12, + "category_id": 11, "bbox": [ 132.5, 169.0, - 693.5, - 713.0 + 561.0, + 544.0 ] }, { - "id": 1913, + "id": 1570, "image_id": 6079, "category_id": 1, "bbox": [ 157.0, 47.0, - 781.0, - 637.0 + 624.0, + 590.0 ] }, { - "id": 1914, - "image_id": 6080, - "category_id": 5, + "id": 1572, + "image_id": 6093, + "category_id": 1, "bbox": [ - 170.8, - 114.6, - 844.4, - 455.0 + 139.2, + 58.8, + 616.1, + 675.5 ] }, { - "id": 1918, - "image_id": 6105, - "category_id": 1, + "id": 1573, + "image_id": 6094, + "category_id": 3, "bbox": [ - 167.0, - 70.6, - 753.0, - 676.6 + 264.4, + 59.8, + 313.4, + 486.2 ] }, { - "id": 1919, - "image_id": 6111, - "category_id": 4, + "id": 1574, + "image_id": 6096, + "category_id": 9, "bbox": [ - 264.4, - 59.8, - 577.8, - 546.0 + 44.8, + 12.6, + 922.4, + 644.6 ] }, { - "id": 1920, - "image_id": 6113, + "id": 1575, + "image_id": 6105, "category_id": 1, "bbox": [ - 139.2, - 58.8, - 755.3, - 734.3 + 167.0, + 70.6, + 586.0, + 606.0 ] }, { - "id": 1922, - "image_id": 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0.0, 0.0, @@ -19494,196 +16655,141 @@ ] }, { - "id": 1956, + "id": 1608, "image_id": 6235, - "category_id": 12, + "category_id": 11, "bbox": [ 132.5, 169.0, - 693.5, - 713.0 + 561.0, + 544.0 ] }, { - "id": 1957, + "id": 1609, "image_id": 6235, "category_id": 1, "bbox": [ 157.0, 47.0, - 781.0, - 637.0 + 624.0, + 590.0 ] }, { - "id": 1958, + "id": 1610, "image_id": 6238, - "category_id": 12, + "category_id": 11, "bbox": [ 227.0, 81.0, - 770.0, - 631.0 - ] - }, - { - "id": 1959, - "image_id": 6244, - "category_id": 5, - "bbox": [ - 170.8, - 114.6, - 844.4, - 455.0 - ] - }, - { - "id": 1960, - "image_id": 6247, - "category_id": 3, - "bbox": [ - 126.2, - 56.0, - 499.2, - 819.0 + 543.0, + 550.0 ] }, { - "id": 1961, + "id": 1612, "image_id": 6247, "category_id": 2, "bbox": [ 348.0, 3.0, - 595.0, - 508.0 + 247.0, + 505.0 ] }, { - "id": 1962, + "id": 1613, "image_id": 6251, - "category_id": 4, + "category_id": 3, "bbox": [ 264.4, 59.8, - 577.8, - 546.0 + 313.4, + 486.2 ] }, { - "id": 1963, + 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+paris_notredame_000855.jpg +paris_invalides_000677.jpg +paris_museedorsay_001013.jpg +paris_notredame_000878.jpg +paris_pantheon_000892.jpg +paris_museedorsay_000924.jpg +paris_louvre_000376.jpg +paris_general_002977.jpg +paris_sacrecoeur_000407.jpg diff --git a/scripts/create_annotations.py b/scripts/create_annotations.py index 5f77964..ef4bfac 100644 --- a/scripts/create_annotations.py +++ b/scripts/create_annotations.py @@ -281,6 +281,20 @@ def get_id_by_name(categories, name): return None +def convert_bbox(bbox): + """ + Converts the bounding box from (xmin, ymin, xmax, ymax) to (xmin, ymin, width, height) format. + + :param bbox: Bounding box in (xmin, ymin, xmax, ymax) format. + :return: Bounding box in (xmin, ymin, width, height) format. + """ + xmin, ymin, xmax, ymax = bbox + width = round(xmax - xmin, 1) + height = round(ymax - ymin, 1) + + return [xmin, ymin, width, height] + + def _process_data_xml(folder_name, data, image_folder, output_folder, monuments_list, levels=2): """ Processes the dataset to create annotations in XML format. @@ -293,6 +307,8 @@ def _process_data_xml(folder_name, data, image_folder, output_folder, monuments_ :param levels: Number of difficulty levels to consider (1, 2, or 3). :return: None """ + # FIXME: fix function + gnd = data['gnd'] imlist = data['imlist'] qimlist = data['qimlist'] @@ -445,6 +461,7 @@ def _process_data_json(data, image_folder, output_folder, monuments_list, levels with Image.open(image_path) as img: width, height = img.size _bbox = gnd[idx]['bbx'] + _bbox = convert_bbox(_bbox) # TODO: check bbox = BoundingBox(_bbox[0], _bbox[1], _bbox[2], _bbox[3]) monument = find_monument_by_query_number(idx, monuments_dict) query_images_objects[idx] = [] @@ -456,7 +473,7 @@ def _process_data_json(data, image_folder, output_folder, monuments_list, levels category_id = get_id_by_name(categories, obj.name) if category_id is None: print("Error: Category not found") - return + continue annotations.append({ "id": i, "image_id": idx, @@ -519,7 +536,9 @@ def _process_data_json(data, image_folder, output_folder, monuments_list, levels ymin_avg = round(ymin_avg / len(_objects[monument]), 1) xmax_avg = round(xmax_avg / len(_objects[monument]), 1) ymax_avg = round(ymax_avg / len(_objects[monument]), 1) - bbox = BoundingBox(xmin_avg, ymin_avg, xmax_avg, ymax_avg) + _bbox = [xmin_avg, ymin_avg, xmax_avg, ymax_avg] + _bbox = convert_bbox(_bbox) # TODO: check + bbox = BoundingBox(_bbox[0], _bbox[1], _bbox[2], _bbox[3]) objects.append(Object(f"{monument}", "Unspecified", "0", str(difficulty), bbox)) other_images_objects[idx] = objects @@ -530,7 +549,7 @@ def _process_data_json(data, image_folder, output_folder, monuments_list, levels category_id = get_id_by_name(categories, obj.name) if category_id is None: print("Error: Category not found") - return + continue annotations.append({ "id": i, "image_id": idx + offset, @@ -542,7 +561,7 @@ def _process_data_json(data, image_folder, output_folder, monuments_list, levels create_json(categories, images, annotations, output_folder) -def process_data(folder_name, data, image_folder, output_folder, monuments_list, type='xml', levels=2): +def process_data(folder_name, data, image_folder, output_folder, monuments_list, type='json', levels=2): """ Processes the dataset to create annotations in XML or JSON format. :param folder_name: Name of the folder containing the dataset. @@ -586,7 +605,7 @@ def process_data(folder_name, data, image_folder, output_folder, monuments_list, print("Annotations created successfully") -def main(datasets=None, type='xml', levels=1): +def main(datasets=None, type='json', levels=1): """ Main function to create annotations for the specified datasets. @@ -618,8 +637,9 @@ def main(datasets=None, type='xml', levels=1): pickle_file = os.path.join(base_path, "datasets/rparis6k/gnd_rparis6k.pkl") image_folder = os.path.join(base_path, "datasets/rparis6k/images") output_folder = "../data/rparis6k/annotations/" - monuments_rparis6k = ['defense', 'eiffel', 'general', 'invalides', 'louvre', 'moulinrouge', 'museedorsay', + monuments_rparis6k = ['defense', 'eiffel', 'invalides', 'louvre', 'moulinrouge', 'museedorsay', 'notredame', 'pantheon', 'pompidou', 'sacrecoeur', 'triomphe'] + # TODO: handle 'general' query data = load_pickle(pickle_file) process_data("rparis6k", data, image_folder, output_folder, monuments_rparis6k, type, levels) diff --git a/scripts/plot_bounding_boxes_p6k.py b/scripts/plot_bounding_boxes_p6k.py index 04f75ff..d1d5d10 100644 --- a/scripts/plot_bounding_boxes_p6k.py +++ b/scripts/plot_bounding_boxes_p6k.py @@ -33,7 +33,7 @@ annotations/ xml/ -Dependencies: +Dependencies: # TODO: update ------------- - os - matplotlib @@ -51,6 +51,11 @@ from PIL import Image import xml.etree.ElementTree as ET +from matplotlib import text, patheffects +from collections import defaultdict +import math +import json + base_path = "../../../Data/" @@ -171,6 +176,8 @@ def test_image(dataset_name, image_name): """ # FIXME: with this implementations xml annotations are needed image_path = os.path.join(base_path, 'datasets', dataset_name, 'images', image_name + '.jpg') + + ''' annotation_xml = os.path.join('../data/', dataset_name, 'annotations/xml', image_name + '.xml') if os.path.exists(image_path): if os.path.exists(annotation_xml): @@ -179,6 +186,35 @@ def test_image(dataset_name, image_name): print(f"Annotation file not found: {annotation_xml}") else: print(f"Image file not found: {image_path}") + ''' + + if not os.path.exists(image_path): + print(f"Image file not found: {image_path}") + return + + # load json + with open(os.path.join('../data', dataset_name, 'annotations', 'json', 'labels.json'), 'r') as file: + labels_json = json.load(file) + # search image id in labels_json['images'] + image_id = None + for image in labels_json['images']: + if image['file_name'] == image_name + '.jpg': + image_id = image['id'] + break + + if image_id is None: + print(f"Image not found in labels.json: {image_name}") + return + + # get annotations for the image + annotations = [annotation for annotation in labels_json['annotations'] if annotation['image_id'] == image_id] + + # plot image with annotations + img = plt.imread(image_path) + fig, ax = plt.subplots(1) + ax.imshow(img) + draw_bbox(ax, annotations, {item["id"]:item["name"] for item in labels_json["categories"]}, img.shape) + plt.show() def test_monument(dataset_name, monument_name, size_test): @@ -232,6 +268,54 @@ def test_image_imlist_85(): plot_bounding_box(image_path, 0, 0, 767, 1023, 'yellow') plot_bounding_box(image_path, 121.2, 48.8, 806.0, 733.0, 'green') +# TODO: it may be interesting if it shows two random images per category + +def draw_outline(obj): + obj.set_path_effects([patheffects.Stroke(linewidth=4, foreground='black'), patheffects.Normal()]) + +def draw_box(ax, bb): + patch = ax.add_patch(patches.Rectangle((bb[0],bb[1]), bb[2], bb[3], fill=False, edgecolor='red', lw=2)) + draw_outline(patch) + +def draw_text(ax, bb, txt, disp): + text = ax.text(bb[0], (bb[1]-disp), txt, verticalalignment='top', color='white', fontsize=10, weight='bold') + draw_outline(text) + +def draw_bbox(ax, annotations_list, id_to_label, image_shape): + for annotation in annotations_list: + cat_id = annotation["category_id"] + bbox = annotation["bbox"] + draw_box(ax, bbox) + draw_text(ax, bbox, id_to_label[cat_id], image_shape[0] * 0.05) + +def visualize(dataset_folder, max_examples=None): + with open(os.path.join(dataset_folder, "labels.json"), "r") as f: + labels_json = json.load(f) + + images = labels_json["images"] + cat_id_to_label = {item["id"]:item["name"] for item in labels_json["categories"]} + image_annots = defaultdict(list) + + for annotation_obj in labels_json["annotations"]: + image_id = annotation_obj["image_id"] + image_annots[image_id].append(annotation_obj) + + if max_examples is None: + max_examples = len(image_annots.items()) + + n_rows = math.ceil(max_examples / 3) + fig, axs = plt.subplots(n_rows, 3, figsize=(24, n_rows*8)) # 3 columns(2nd index), 8x8 for each image + + for ind, (image_id, annotations_list) in enumerate(list(image_annots.items())[:max_examples]): + ax = axs[ind//3, ind%3] + img = plt.imread(os.path.join(dataset_folder, "images", images[image_id]["file_name"])) + ax.imshow(img) + draw_bbox(ax, annotations_list, cat_id_to_label, img.shape) + + plt.show() + +#visualize(train_dataset_path, 9) + def main(): """ @@ -249,7 +333,9 @@ def main(): #test_monument('rparis6k', 'defense', 10) - test_image_imlist_85() + #test_image_imlist_85() + + test_image('rparis6k', 'paris_defense_000000') if __name__ == "__main__": diff --git a/training/mp_training_paris6k.ipynb b/training/mp_training_paris6k.ipynb index 82ed752..4fd4cc2 100644 --- a/training/mp_training_paris6k.ipynb +++ b/training/mp_training_paris6k.ipynb @@ -1 +1 @@ -{"cells":[{"cell_type":"markdown","source":["# Object detection model customization"],"metadata":{"id":"rQIYsEciHsMN"}},{"cell_type":"markdown","source":["## Setup"],"metadata":{"id":"NReBxyCQH1Rx"}},{"cell_type":"markdown","source":["To install the libraries for customizing a model, run the following commands:"],"metadata":{"id":"xbuuejtPH97m"}},{"cell_type":"code","source":["!python --version\n","!pip install --upgrade pip\n","!pip install mediapipe-model-maker"],"metadata":{"id":"ceFO9GPSHyRv","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Use the following code to import the required Python classes:"],"metadata":{"id":"2beHFLLIIIv0"}},{"cell_type":"code","source":["from google.colab import files\n","import os\n","import json\n","from tqdm import tqdm\n","import tensorflow as tf\n","assert tf.__version__.startswith('2')\n","\n","from mediapipe_model_maker import object_detector"],"metadata":{"id":"0OpjgSuBIJJC","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Prepare data"],"metadata":{"id":"Yq6UT0j9ILD_"}},{"cell_type":"code","source":["from google.colab import drive\n","import shutil"],"metadata":{"id":"CdowIoy4KgAw"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Set paths"],"metadata":{"id":"ThZpHZPKKK1O"}},{"cell_type":"code","source":["# Mount Google Drive\n","drive.mount('/content/drive')"],"metadata":{"id":"-Lrh4ORlDGgu"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Define paths\n","base_path = '/content/drive/MyDrive/'\n","source_path = base_path + 'Datasets/revisitop/rparis6k/data/'\n","dest_base_path = base_path + 'MyProject/rparis6k/'\n","\n","train_dataset_path = dest_base_path + 'train/'\n","validation_dataset_path = dest_base_path + 'validation/'\n","test_dataset_path = dest_base_path + 'test/'"],"metadata":{"id":"BlfRX-r_3YUc"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["os.makedirs(dest_base_path, exist_ok=True)\n","\n","os.makedirs(train_dataset_path, exist_ok=True)\n","os.makedirs(validation_dataset_path, exist_ok=True)\n","os.makedirs(test_dataset_path, exist_ok=True)\n","\n","os.makedirs(os.path.join(train_dataset_path, 'images'), exist_ok=True)\n","os.makedirs(os.path.join(validation_dataset_path, 'images'), exist_ok=True)\n","os.makedirs(os.path.join(test_dataset_path, 'images'), exist_ok=True)"],"metadata":{"id":"4auASQMqjYRt"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Copy images"],"metadata":{"id":"Ai5-oF_zjkxz"}},{"cell_type":"code","source":["# Function to copy images\n","def copy_images(file_list, dest_folder):\n"," with open(file_list, 'r') as f:\n"," lines = f.readlines()\n"," for line in tqdm(lines, desc=f\"Copying images to {dest_folder}\"):\n"," img_name = line.strip()\n"," src = os.path.join(source_path, img_name)\n"," dst = os.path.join(dest_folder, img_name)\n"," os.makedirs(os.path.dirname(dst), exist_ok=True)\n"," shutil.copy2(src, dst)\n","\n","# Copy images for each set\n","if (len(os.listdir(train_dataset_path + 'images/')) == 0 and\n"," len(os.listdir(validation_dataset_path + 'images/')) == 0 and\n"," len(os.listdir(test_dataset_path + 'images/')) == 0):\n"," copy_images(dest_base_path + 'train.txt', train_dataset_path + 'images/')\n"," copy_images(dest_base_path + 'val.txt', validation_dataset_path + 'images/')\n"," copy_images(dest_base_path + 'test.txt', test_dataset_path + 'images/')\n"," print(\"Dataset division completed!\\n\")\n","else:\n"," print(\"One or more directories are not empty. Copy operation aborted.\\n\")\n","\n","print(f\"Number of images in train set: {len(os.listdir(train_dataset_path + 'images/'))}\")\n","print(f\"Number of images in validation set: {len(os.listdir(validation_dataset_path + 'images/'))}\")\n","print(f\"Number of images in test set: {len(os.listdir(test_dataset_path + 'images/'))}\")"],"metadata":{"id":"-A3ZtrofqptN"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Review dataset"],"metadata":{"id":"IUcrpj6aIzqt"}},{"cell_type":"markdown","source":["Verify the dataset content by printing the categories from the `labels.json` file. There should be 13 total categories. Index 0 is always set to be the `background` class which may be unused in the dataset."],"metadata":{"id":"xYXzxYC3I0h5"}},{"cell_type":"code","source":["with open(os.path.join(train_dataset_path, \"labels.json\"), \"r\") as f:\n"," labels_json = json.load(f)\n","for category_item in labels_json[\"categories\"]:\n"," print(f\"{category_item['id']}: {category_item['name']}\")"],"metadata":{"id":"v6rYvXVwIwKp"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#@title Visualize the training dataset\n","import matplotlib.pyplot as plt\n","from matplotlib import patches, text, patheffects\n","from collections import defaultdict\n","import math\n","\n","def draw_outline(obj):\n"," obj.set_path_effects([patheffects.Stroke(linewidth=4, foreground='black'), patheffects.Normal()])\n","def draw_box(ax, bb):\n"," patch = ax.add_patch(patches.Rectangle((bb[0],bb[1]), bb[2], bb[3], fill=False, edgecolor='red', lw=2))\n"," draw_outline(patch)\n","def draw_text(ax, bb, txt, disp):\n"," text = ax.text(bb[0],(bb[1]-disp),txt,verticalalignment='top'\n"," ,color='white',fontsize=10,weight='bold')\n"," draw_outline(text)\n","def draw_bbox(ax, annotations_list, id_to_label, image_shape):\n"," for annotation in annotations_list:\n"," cat_id = annotation[\"category_id\"]\n"," bbox = annotation[\"bbox\"]\n"," draw_box(ax, bbox)\n"," draw_text(ax, bbox, id_to_label[cat_id], image_shape[0] * 0.05)\n","def visualize(dataset_folder, max_examples=None):\n"," with open(os.path.join(dataset_folder, \"labels.json\"), \"r\") as f:\n"," labels_json = json.load(f)\n"," images = labels_json[\"images\"]\n"," cat_id_to_label = {item[\"id\"]:item[\"name\"] for item in labels_json[\"categories\"]}\n"," image_annots = defaultdict(list)\n"," for annotation_obj in labels_json[\"annotations\"]:\n"," image_id = annotation_obj[\"image_id\"]\n"," image_annots[image_id].append(annotation_obj)\n","\n"," if max_examples is None:\n"," max_examples = len(image_annots.items())\n"," n_rows = math.ceil(max_examples / 3)\n"," fig, axs = plt.subplots(n_rows, 3, figsize=(24, n_rows*8)) # 3 columns(2nd index), 8x8 for each image\n"," for ind, (image_id, annotations_list) in enumerate(list(image_annots.items())[:max_examples]):\n"," ax = axs[ind//3, ind%3]\n"," img = plt.imread(os.path.join(dataset_folder, \"images\", images[image_id][\"file_name\"]))\n"," ax.imshow(img)\n"," draw_bbox(ax, annotations_list, cat_id_to_label, img.shape)\n"," plt.show()\n","\n","visualize(train_dataset_path, 9)"],"metadata":{"id":"8D17VhVAI33W","cellView":"form"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Create dataset"],"metadata":{"id":"fPyRkkKYJEOB"}},{"cell_type":"code","source":["if os.path.exists(\"/tmp/od_data/train\"):\n"," shutil.rmtree(\"/tmp/od_data/train\") # TODO: do I need this instruction ?"],"metadata":{"id":"6MICrUKmFEsS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# TODO: is it possible to add a progress bar?"],"metadata":{"id":"7f4Uke50b1X9"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train_data = object_detector.Dataset.from_coco_folder(train_dataset_path, cache_dir=\"/tmp/od_data/train\")\n","validation_data = object_detector.Dataset.from_coco_folder(validation_dataset_path, cache_dir=\"/tmp/od_data/validation\")\n","print(\"train_data size: \", train_data.size)\n","print(\"validation_data size: \", validation_data.size)"],"metadata":{"id":"cooLOJrmJDbo"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Augmentation"],"metadata":{"id":"JGLtQeX3UG_s"}},{"cell_type":"code","source":["import albumentations as A\n","import numpy as np\n","import cv2"],"metadata":{"id":"7R9rK4PXUKsa"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["#### Search for augmented data"],"metadata":{"id":"J5WnmuRFJ1-6"}},{"cell_type":"code","source":["# FIXME"],"metadata":{"id":"Bi-iMOfRW74c"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def check_and_delete_augmented_images(folder_path):\n"," augmented_images = [f for f in os.listdir(folder_path) if 'aug' in f]\n","\n"," if len(augmented_images) > 0:\n"," print(f\"Found {len(augmented_images)} augmented images in {folder_path}.\")\n"," user_input = input(\"Do you want to delete these images? (yes/no): \").strip().lower()\n","\n"," if user_input == 'yes':\n"," for img in tqdm(augmented_images, desc=\"Deleting augmented images\"):\n"," img_path = os.path.join(folder_path, img)\n"," os.remove(img_path)\n"," print(\"Augmented images deleted successfully.\")\n"," else:\n"," print(\"Deletion aborted by user.\")\n"," else:\n"," print(\"No augmented images found.\")\n","\n","check_and_delete_augmented_images(train_dataset_path + 'images/')"],"metadata":{"id":"KK83p2AQJ5BG"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["#### Augment data"],"metadata":{"id":"77QQeKsFKCBx"}},{"cell_type":"code","source":["# TODO: check label_fields\n","# FIXME: fix augmentation"],"metadata":{"id":"F9PAySGhXvgG"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def get_dynamic_transform(image_height, image_width):\n"," crop_height = min(224, image_height)\n"," crop_width = min(224, image_width)\n","\n"," return A.Compose([ # FIXME\n"," A.HorizontalFlip(p=0.5),\n"," #A.RandomRotate90(p=0.5),\n"," A.RandomBrightnessContrast(p=0.2),\n"," A.Perspective(p=0.5), # TODO: check perspective transformations\n"," A.RandomGamma(p=0.2),\n"," A.GaussianBlur(blur_limit=(3, 7), p=0.1),\n"," A.CLAHE(clip_limit=4.0, tile_grid_size=(8, 8), p=0.2),\n"," #A.RandomCrop(height=crop_height, width=crop_width, p=0.5),\n"," #A.Cutout(num_holes=8, max_h_size=8, max_w_size=8, fill_value=0, p=0.5),\n"," ], bbox_params=A.BboxParams(format='coco', label_fields=['category_ids']))"],"metadata":{"id":"Kvs_HcPNUOFW"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def clip_bboxes(bboxes):\n"," return [[max(0, min(1, coord)) for coord in bbox] for bbox in bboxes]\n","\n","def resize_if_needed(image, min_size=224): # TODO: check if it's necessary\n"," height, width = image.shape[:2]\n"," if height < min_size or width < min_size:\n"," scale = min_size / min(height, width)\n"," new_height = int(height * scale)\n"," new_width = int(width * scale)\n"," image = cv2.resize(image, (new_width, new_height), interpolation=cv2.INTER_LINEAR)\n"," return image\n","\n","def apply_augmentations(image, bboxes, categories):\n"," height, width = image.shape[:2]\n"," transform = get_dynamic_transform(height, width)\n","\n"," # Clip bboxes before applying augmentations\n"," clipped_bboxes = clip_bboxes(bboxes)\n","\n"," augmented = transform(image=image, bboxes=clipped_bboxes, category_ids=categories)\n","\n"," # Clip bboxes after augmentations as well\n"," augmented['bboxes'] = clip_bboxes(augmented['bboxes'])\n","\n"," return augmented['image'], augmented['bboxes'], augmented['category_ids']\n","\n","def update_coco_annotations(annotations, new_image_id, new_bboxes, new_categories):\n"," new_annotations = []\n"," for i, (bbox, category) in enumerate(zip(new_bboxes, new_categories)):\n"," new_annotations.append({\n"," \"id\": len(annotations) + i,\n"," \"image_id\": new_image_id,\n"," \"category_id\": category,\n"," \"bbox\": [round(coord, 1) for coord in bbox]\n"," })\n"," return new_annotations"],"metadata":{"id":"rFEifv__UMhZ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Load COCO annotations\n","with open(os.path.join(train_dataset_path, 'labels.json'), 'r') as f:\n"," coco_data = json.load(f)\n","\n","augmented_images = []\n","augmented_annotations = []\n","new_image_id = len(coco_data['images'])\n","\n","for image_info in tqdm(coco_data['images']):\n"," # Load image\n"," image_path = os.path.join(train_dataset_path, 'images', image_info['file_name'])\n","\n"," if not os.path.exists(image_path):\n"," print(f\"Image not found: {image_path}\")\n"," continue\n","\n"," image = cv2.imread(image_path)\n","\n"," if image is None:\n"," print(f\"Failed to load image: {image_path}\")\n"," continue\n","\n"," image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n","\n"," # Get annotations for this image\n"," image_annotations = [ann for ann in coco_data['annotations'] if ann['image_id'] == image_info['id']]\n"," bboxes = [ann['bbox'] for ann in image_annotations]\n"," categories = [ann['category_id'] for ann in image_annotations]\n","\n"," # Clip bboxes before applying augmentations\n"," bboxes = clip_bboxes(bboxes)\n","\n"," #image = resize_if_needed(image) # TODO: check if it's necessary\n","\n"," # Apply augmentations\n"," aug_image, aug_bboxes, aug_categories = apply_augmentations(image, bboxes, categories)\n","\n"," # Save augmented image\n"," aug_image_name = f\"aug_{image_info['file_name']}\"\n"," cv2.imwrite(os.path.join(train_dataset_path, 'images', aug_image_name), cv2.cvtColor(aug_image, cv2.COLOR_RGB2BGR)) # FIXME: why do I do COLOR_RGB2BGR?\n","\n"," # Update COCO annotations\n"," augmented_images.append({\n"," \"id\": new_image_id,\n"," \"file_name\": aug_image_name\n"," })\n"," augmented_annotations.extend(update_coco_annotations(coco_data['annotations'], new_image_id, aug_bboxes, aug_categories))\n"," new_image_id += 1\n","\n","# Update COCO data\n","coco_data['images'].extend(augmented_images)\n","coco_data['annotations'].extend(augmented_annotations)\n","\n","# Save updated COCO annotations\n","with open(os.path.join(train_dataset_path, 'labels.json'), 'w') as f:\n"," json.dump(coco_data, f)\n","\n","print(f\"Added {len(augmented_images)} augmented images to the dataset.\")"],"metadata":{"id":"cOtUZ5tnUPwJ"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["#### Rewrite train data"],"metadata":{"id":"zbBGHtdpJ98E"}},{"cell_type":"code","source":["shutil.rmtree(\"/tmp/od_data/train\") # TODO: do I need this instruction ?"],"metadata":{"id":"pUpntlCgYgUh"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train_data = object_detector.Dataset.from_coco_folder(train_dataset_path, cache_dir=\"/tmp/od_data/train\")\n","print(\"Updated train_data size: \", train_data.size)"],"metadata":{"id":"2A_QSKYdUs2U"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Retrain model"],"metadata":{"id":"IzhODm2CJaMB"}},{"cell_type":"markdown","source":["### Set retraining options"],"metadata":{"id":"jF7sZHYyJcl7"}},{"cell_type":"code","source":["spec = object_detector.SupportedModels.MOBILENET_MULTI_AVG_I384\n","\n","hparams = object_detector.HParams(\n"," learning_rate=0.1,\n"," batch_size=16,\n"," epochs=100,\n"," cosine_decay_epochs=100,\n"," cosine_decay_alpha=0.2,\n"," export_dir='exported_model'\n",")\n","\n","model_options = object_detector.ModelOptions(\n"," l2_weight_decay=3e-4\n",")\n","\n","options = object_detector.ObjectDetectorOptions(\n"," supported_model=spec,\n"," hparams=hparams,\n"," model_options=model_options\n",")"],"metadata":{"id":"iC6cVSpVJWFw"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Run retraining"],"metadata":{"id":"bfQoIMPOJhK5"}},{"cell_type":"code","source":["model = object_detector.ObjectDetector.create(\n"," train_data=train_data,\n"," validation_data=validation_data,\n"," options=options\n",")"],"metadata":{"id":"BxT1UHQWJfAX","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Evaluate the model performance\n","\n","After training the model, evaluate it on validation dataset and print the loss and coco_metrics. The most important metric for evaluating the model performance is typically the \"AP\" coco metric for Average Precision."],"metadata":{"id":"y3h_cOytJjXk"}},{"cell_type":"code","source":["# TODO: is it possible to add a progress bar?"],"metadata":{"id":"WaUndk7ZZgbk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["loss, coco_metrics = model.evaluate(validation_data, batch_size=4)\n","print(f\"Validation loss: {loss}\")\n","print(f\"Validation coco metrics: {coco_metrics}\")"],"metadata":{"id":"kJabrlEjJkmH","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Export model\n","\n","After creating the model, convert and export it to a Tensorflow Lite model format for later use on an on-device application. The export also includes model metadata, which includes the label map."],"metadata":{"id":"Vkg5K-xWJmj6"}},{"cell_type":"code","source":["model.export_model()\n","!ls exported_model\n","files.download('exported_model/model.tflite')"],"metadata":{"id":"ADUK65tBJn7x","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Model quantization"],"metadata":{"id":"6g6QkA6YJpf8"}},{"cell_type":"markdown","source":["Model quantization is a model modification technique that can reduce the model size and improve the speed of predictions with only a relatively minor decrease in accuracy.\n","\n","This section of the guide explains how to apply quantization to your model. Model Maker supports two forms of quantization for object detector:\n","1. Quantization Aware Training: 8 bit integer precision for CPU usage\n","2. Post-Training Quantization: 16 bit floating point precision for GPU usage"],"metadata":{"id":"Jl1Dc9EhJtRo"}},{"cell_type":"markdown","source":["### Quantization aware training (int8 quantization)\n","Quantization aware training (QAT) is a fine-tuning step which happens after fully training your model. This technique further tunes a model which emulates inference time quantization in order to account for the lower precision of 8 bit integer quantization. For on-device applications with a standard CPU, use Int8 precision. For more information, see the [TensorFlow Lite](https://www.tensorflow.org/model_optimization/guide/quantization/training) documentation.\n","\n","To apply quantization aware training and export to an int8 model, create a `QATHParams` configuration and run the `quantization_aware_training` method. See the **Hyperparameters** section below on detailed usage of `QATHParams`."],"metadata":{"id":"D88f-mqgJvwi"}},{"cell_type":"code","source":["qat_hparams = object_detector.QATHParams(learning_rate=0.3, batch_size=4, epochs=10, decay_steps=6, decay_rate=0.96)\n","model.quantization_aware_training(train_data, validation_data, qat_hparams=qat_hparams)\n","qat_loss, qat_coco_metrics = model.evaluate(validation_data)\n","print(f\"QAT validation loss: {qat_loss}\")\n","print(f\"QAT validation coco metrics: {qat_coco_metrics}\")"],"metadata":{"id":"NbTDJtEJJr7Y"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["The QAT step often requires multiple runs to tune the parameters of training. To avoid having to rerun model training using the `create` method, use the `restore_float_ckpt` method to restore the model state back to the fully trained float model(After running the `create` method) in order to run QAT again."],"metadata":{"id":"5KEPghm9JyUi"}},{"cell_type":"code","source":["new_qat_hparams = object_detector.QATHParams(learning_rate=0.9, batch_size=4, epochs=15, decay_steps=5, decay_rate=0.96)\n","model.restore_float_ckpt()\n","model.quantization_aware_training(train_data, validation_data, qat_hparams=new_qat_hparams)\n","qat_loss, qat_coco_metrics = model.evaluate(validation_data)\n","print(f\"QAT validation loss: {qat_loss}\")\n","print(f\"QAT validation coco metrics: {qat_coco_metrics}\")"],"metadata":{"id":"vALj8IqaJ1B4"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Finally, us the `export_model` to export to an int8 quantized model. The `export_model` function will automatically export to either float32 or int8 model depending on whether `quantization_aware_training` was run."],"metadata":{"id":"HdZAaTJKJ4ky"}},{"cell_type":"code","source":["model.export_model('model_int8_qat.tflite')\n","!ls -lh exported_model\n","files.download('exported_model/model_int8_qat.tflite')"],"metadata":{"id":"AePYkJHwJ2OG"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Post-training quantization (fp16 quantization)\n","\n","Post-training model quantization is a model modification technique that can reduce the model size and improve the speed of predictions with only a relatively minor decrease in accuracy. This approach reduces the size of the data processed by the model, for example by transforming 32-bit floating point numbers to 16-bit floats. Float16 quantization is reccomended for GPU usage. For more information, see the [TensorFlow Lite](https://www.tensorflow.org/model_optimization/guide/quantization/post_training) documentation.\n","\n","First, import the MediaPipe Model Maker quantization module:"],"metadata":{"id":"mm4gCymvJ7wK"}},{"cell_type":"code","source":["from mediapipe_model_maker import quantization"],"metadata":{"id":"mt8zeY52J8Gk"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Define a QuantizationConfig object using the `for_float16()` class method. This configuration modifies a trained model to use 16-bit floating point numbers instead of 32-bit floating point numbers. You can further customize the quantization process by setting additional parameters for the QuantizationConfig class."],"metadata":{"id":"r6eGgib4J-Ac"}},{"cell_type":"code","source":["quantization_config = quantization.QuantizationConfig.for_float16()"],"metadata":{"id":"IjAn-GBKJ_ab"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Export the model using the additional quantization_config object to apply post-training quantization. Note that if you previously ran `quantization_aware_training`, you must first convert the model back to a float model by using `restore_float_ckpt`."],"metadata":{"id":"ChqPtssVKCA8"}},{"cell_type":"code","source":["model.restore_float_ckpt()\n","model.export_model(model_name=\"model_fp16.tflite\", quantization_config=quantization_config)\n","!ls -lh exported_model\n","files.download('exported_model/model_fp16.tflite')"],"metadata":{"id":"f90WxGNNKCSW"},"execution_count":null,"outputs":[]}],"metadata":{"colab":{"last_runtime":{"build_target":"//learning/grp/tools/ml_python:ml_notebook","kind":"private"},"private_outputs":true,"provenance":[{"file_id":"https://github.com/googlesamples/mediapipe/blob/main/examples/customization/object_detector.ipynb","timestamp":1720270505355},{"file_id":"11PG1YgsQWWLJ8jpqJ6QY7hjYWzxVwoCb","timestamp":1677706798050}],"gpuType":"T4","collapsed_sections":["6g6QkA6YJpf8"]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0} \ No newline at end of file +{"cells":[{"cell_type":"markdown","source":["# Object detection model customization"],"metadata":{"id":"rQIYsEciHsMN"}},{"cell_type":"markdown","source":["## Setup"],"metadata":{"id":"NReBxyCQH1Rx"}},{"cell_type":"markdown","source":["To install the libraries for customizing a model, run the following commands:"],"metadata":{"id":"xbuuejtPH97m"}},{"cell_type":"code","source":["!python --version\n","!pip install --upgrade pip\n","!pip install mediapipe-model-maker"],"metadata":{"id":"ceFO9GPSHyRv","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Use the following code to import the required Python classes:"],"metadata":{"id":"2beHFLLIIIv0"}},{"cell_type":"code","source":["from google.colab import files\n","import os\n","import json\n","from tqdm import tqdm\n","import tensorflow as tf\n","assert tf.__version__.startswith('2')\n","\n","from mediapipe_model_maker import object_detector\n","\n","from google.colab import drive\n","import shutil\n","\n","%matplotlib inline"],"metadata":{"id":"0OpjgSuBIJJC","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Set paths"],"metadata":{"id":"ThZpHZPKKK1O"}},{"cell_type":"code","source":["# Mount Google Drive\n","drive.mount('/content/drive')"],"metadata":{"id":"-Lrh4ORlDGgu"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["base_path = '/content/drive/MyDrive/'\n","source_path = base_path + 'Datasets/revisitop/rparis6k/data/'\n","\n","dest_base_path = base_path + 'MyProject/rparis6k/'\n","\n","train_dataset_path = dest_base_path + 'train/'\n","validation_dataset_path = dest_base_path + 'validation/'\n","test_dataset_path = dest_base_path + 'test/'"],"metadata":{"id":"BlfRX-r_3YUc"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["os.makedirs(dest_base_path, exist_ok=True)\n","\n","os.makedirs(train_dataset_path, exist_ok=True)\n","os.makedirs(validation_dataset_path, exist_ok=True)\n","os.makedirs(test_dataset_path, exist_ok=True)\n","\n","os.makedirs(os.path.join(train_dataset_path, 'images'), exist_ok=True)\n","os.makedirs(os.path.join(validation_dataset_path, 'images'), exist_ok=True)\n","os.makedirs(os.path.join(test_dataset_path, 'images'), exist_ok=True)"],"metadata":{"id":"4auASQMqjYRt"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Prepare data"],"metadata":{"id":"Yq6UT0j9ILD_"}},{"cell_type":"markdown","source":["### Copy images"],"metadata":{"id":"Ai5-oF_zjkxz"}},{"cell_type":"code","source":["# FIXME: fix check_and_delete_augmented_images function"],"metadata":{"id":"VOf82qC3Sr3k"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Function to search for augmented data\n","def check_and_delete_augmented_images(folder_path):\n"," augmented_images = [f for f in os.listdir(folder_path) if 'aug' in f]\n","\n"," if len(augmented_images) > 0:\n"," print(f\"Found {len(augmented_images)} augmented images in {folder_path}.\")\n"," user_input = input(\"Do you want to delete these images? (yes/no): \").strip().lower()\n","\n"," if user_input == 'yes':\n"," # delete all the elements in the image folder\n"," # delete the labels.json file\n"," for img in tqdm(augmented_images, desc=\"Deleting augmented images\"):\n"," img_path = os.path.join(folder_path, img)\n"," os.remove(img_path)\n"," print(\"Augmented images deleted successfully.\")\n"," else:\n"," print(\"Deletion aborted by user.\")\n"," else:\n"," print(\"No augmented images found.\")\n","\n","# folder_path = augmented_train_dataset_path"],"metadata":{"id":"tttYb0xMSlir"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# TODO: mention that the train set contain augmented images if it's the case\n","# TODO: use also a boolean value to memorize the aug data deletion"],"metadata":{"id":"Jsgo4eA9R0xv"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Function to copy images\n","def copy_images(file_list, dest_folder):\n"," with open(file_list, 'r') as f:\n"," lines = f.readlines()\n"," for line in tqdm(lines, desc=f\"Copying images to {dest_folder}\"):\n"," img_name = line.strip()\n"," src = os.path.join(source_path, img_name)\n"," dst = os.path.join(dest_folder, img_name)\n"," os.makedirs(os.path.dirname(dst), exist_ok=True)\n"," shutil.copy2(src, dst)\n","\n","# Copy images for each set\n","if (len(os.listdir(train_dataset_path + 'images/')) == 0 and\n"," len(os.listdir(validation_dataset_path + 'images/')) == 0 and\n"," len(os.listdir(test_dataset_path + 'images/')) == 0):\n"," copy_images(dest_base_path + 'train.txt', train_dataset_path + 'images/')\n"," copy_images(dest_base_path + 'val.txt', validation_dataset_path + 'images/')\n"," copy_images(dest_base_path + 'test.txt', test_dataset_path + 'images/')\n"," print(\"Dataset division completed!\\n\")\n","else:\n"," print(\"One or more directories are not empty. Copy operation aborted.\\n\")\n","\n","print(f\"Number of images in train set: {len(os.listdir(train_dataset_path + 'images/'))}\")\n","print(f\"Number of images in validation set: {len(os.listdir(validation_dataset_path + 'images/'))}\")\n","print(f\"Number of images in test set: {len(os.listdir(test_dataset_path + 'images/'))}\")"],"metadata":{"id":"-A3ZtrofqptN"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Review data"],"metadata":{"id":"IUcrpj6aIzqt"}},{"cell_type":"markdown","source":["Verify the dataset content by printing the categories from the `labels.json` file. There should be 13 total categories. Index 0 is always set to be the `background` class which may be unused in the dataset."],"metadata":{"id":"xYXzxYC3I0h5"}},{"cell_type":"code","source":["with open(os.path.join(train_dataset_path, \"labels.json\"), \"r\") as f:\n"," labels_json = json.load(f)\n","for category_item in labels_json[\"categories\"]:\n"," print(f\"{category_item['id']}: {category_item['name']}\")"],"metadata":{"id":"v6rYvXVwIwKp"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#@title Visualize the training data\n","import matplotlib.pyplot as plt\n","from matplotlib import patches, text, patheffects\n","from collections import defaultdict\n","import math\n","\n","# TODO: it may be interesting if it shows two random images per category\n","\n","def draw_outline(obj):\n"," obj.set_path_effects([patheffects.Stroke(linewidth=4, foreground='black'), patheffects.Normal()])\n","\n","def draw_box(ax, bb):\n"," patch = ax.add_patch(patches.Rectangle((bb[0],bb[1]), bb[2], bb[3], fill=False, edgecolor='red', lw=2))\n"," draw_outline(patch)\n","\n","def draw_text(ax, bb, txt, disp):\n"," text = ax.text(bb[0], (bb[1]-disp), txt, verticalalignment='top', color='white', fontsize=10, weight='bold')\n"," draw_outline(text)\n","\n","def draw_bbox(ax, annotations_list, id_to_label, image_shape):\n"," for annotation in annotations_list:\n"," cat_id = annotation[\"category_id\"]\n"," bbox = annotation[\"bbox\"]\n"," draw_box(ax, bbox)\n"," draw_text(ax, bbox, id_to_label[cat_id], image_shape[0] * 0.05)\n","\n","def visualize(dataset_folder, max_examples=None):\n"," with open(os.path.join(dataset_folder, \"labels.json\"), \"r\") as f:\n"," labels_json = json.load(f)\n","\n"," images = labels_json[\"images\"]\n"," cat_id_to_label = {item[\"id\"]:item[\"name\"] for item in labels_json[\"categories\"]}\n"," image_annots = defaultdict(list)\n","\n"," for annotation_obj in labels_json[\"annotations\"]:\n"," image_id = annotation_obj[\"image_id\"]\n"," image_annots[image_id].append(annotation_obj)\n","\n"," if max_examples is None:\n"," max_examples = len(image_annots.items())\n","\n"," n_rows = math.ceil(max_examples / 3)\n"," fig, axs = plt.subplots(n_rows, 3, figsize=(24, n_rows*8)) # 3 columns(2nd index), 8x8 for each image\n","\n"," for ind, (image_id, annotations_list) in enumerate(list(image_annots.items())[:max_examples]):\n"," ax = axs[ind//3, ind%3]\n"," img = plt.imread(os.path.join(dataset_folder, \"images\", images[image_id][\"file_name\"]))\n"," ax.imshow(img)\n"," draw_bbox(ax, annotations_list, cat_id_to_label, img.shape)\n","\n"," plt.show()\n","\n","visualize(train_dataset_path, 9)"],"metadata":{"id":"8D17VhVAI33W","collapsed":true,"cellView":"form"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Create dataset"],"metadata":{"id":"fPyRkkKYJEOB"}},{"cell_type":"code","source":["if os.path.exists(\"/tmp/od_data/train\"):\n"," shutil.rmtree(\"/tmp/od_data/train\") # TODO: do I need this instruction ?"],"metadata":{"id":"6MICrUKmFEsS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# TODO: is it possible to add a progress bar?"],"metadata":{"id":"7f4Uke50b1X9"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train_data = object_detector.Dataset.from_coco_folder(train_dataset_path, cache_dir=\"/tmp/od_data/train\")\n","validation_data = object_detector.Dataset.from_coco_folder(validation_dataset_path, cache_dir=\"/tmp/od_data/validation\")\n","print(\"train_data size: \", train_data.size)\n","print(\"validation_data size: \", validation_data.size)"],"metadata":{"id":"cooLOJrmJDbo"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Augmentation"],"metadata":{"id":"JGLtQeX3UG_s"}},{"cell_type":"markdown","source":["### Augment data"],"metadata":{"id":"77QQeKsFKCBx"}},{"cell_type":"code","source":["import albumentations as A\n","import numpy as np\n","import cv2"],"metadata":{"id":"7R9rK4PXUKsa"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# TODO: check the aug data deletion boolean value\n","# if true -> ask to execute augmentation\n","# if false -> ask to delete aug data before and then to execute augmentation (update train_data_path)"],"metadata":{"id":"aOLGUAwkTGq2"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Augmentation pipeline\n","bbox_params=A.BboxParams(format='coco', label_fields=['category_ids'])\n","\n","transform = A.Compose([\n"," A.RandomResizedCrop(height=384, width=384, scale=(0.5, 1.0), ratio=(0.8, 1.2), p=1.0), # scale=(0.8, 1.0), ratio=(0.9, 1.1)\n"," A.HorizontalFlip(p=0.5), #\n"," A.RandomBrightnessContrast(p=0.3), # p=0.2\n"," A.RGBShift(r_shift_limit=30, g_shift_limit=30, b_shift_limit=20, p=0.3), # r_shift_limit=20, g_shift_limit=20\n"," A.ShiftScaleRotate(shift_limit=0.2, scale_limit=0.2, rotate_limit=30, p=0.5), # shift_limit=0.1, scale_limit=0.1, rotate_limit=15\n"," A.RandomShadow(p=0.2), #\n"," A.CLAHE(p=0.3), #\n","], bbox_params=bbox_params) # min_area=1024 min_area=256, min_visibility=0.1"],"metadata":{"id":"3ppVnY8EhUBm"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def normalize_bbox(bbox, image_width, image_height):\n"," \"\"\"\n"," Normalize bbox coordinates to [0, 1] range.\n"," \"\"\"\n"," x_min, y_min, w, h = bbox\n"," x_max = x_min + w\n"," y_max = y_min + h\n","\n"," x_min_norm = max(0, min(1, x_min / image_width))\n"," y_min_norm = max(0, min(1, y_min / image_height))\n"," x_max_norm = max(0, min(1, x_max / image_width))\n"," y_max_norm = max(0, min(1, y_max / image_height))\n","\n"," return [x_min_norm, y_min_norm, x_max_norm, y_max_norm]"],"metadata":{"id":"lQRFiNuZbEl8"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def denormalize_bbox(bbox_norm, image_width, image_height):\n"," \"\"\"\n"," Convert normalized bbox coordinates back to pixel coordinates.\n"," \"\"\"\n","\n"," x_min_norm, y_min_norm, x_max_norm, y_max_norm = bbox_norm\n","\n"," x_min = round(x_min_norm * image_width, 1)\n"," y_min = round(y_min_norm * image_height, 1)\n"," x_max = round(x_max_norm * image_width, 1)\n"," y_max = round(y_max_norm * image_height, 1)\n","\n"," w = round(x_max - x_min, 1)\n"," h = round(y_max - y_min, 1)\n","\n"," return [x_min, y_min, w, h]"],"metadata":{"id":"V38bRoNSueDk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def apply_augmentation(image_path, bboxes, category_ids, output_path, output_filename, transform):\n"," \"\"\"\n"," Apply augmentation to an image and save the results.\n","\n"," Parameters:\n"," - image_path: Path to the original image.\n"," - bboxes: Bounding boxes in the format [(x_min, y_min, x_max, y_max), ...].\n"," - category_ids: List of category IDs corresponding to each bounding box.\n"," - output_path: Directory where the augmented image will be saved.\n"," - output_filename: Filename for the augmented image.\n"," - transform: Albumentations transform to be applied.\n","\n"," Returns:\n"," - A tuple containing the transformed bounding boxes and category IDs.\n"," \"\"\"\n"," # Read the image\n"," image = cv2.imread(image_path)\n"," image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n"," image_height, image_width = image.shape[:2]\n","\n"," # Normalize bounding boxes\n"," normalized_bboxes = [normalize_bbox(bbox, image_width, image_height) for bbox in bboxes]\n","\n"," # Apply the augmentation\n"," try:\n"," transformed = transform(image=image, bboxes=normalized_bboxes, category_ids=category_ids) # FIXME: empty returning values\n"," except Exception as e:\n"," print(f\"Error during transformation: {e}\")\n"," return [], []\n","\n"," # Save the augmented image\n"," augmented_image_path = os.path.join(output_path, output_filename)\n"," #cv2.imwrite(augmented_image_path, cv2.cvtColor(transformed['image'], cv2.COLOR_RGB2BGR)) # TODO: uncomment\n","\n"," print(transformed.keys())\n","\n"," return transformed['bboxes'], transformed['category_ids']"],"metadata":{"id":"eZWBxtDrhonL"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["with open(os.path.join(train_dataset_path, 'labels.json'), 'r') as f:\n"," train_json = json.load(f)\n","\n","with open(os.path.join(validation_dataset_path, 'labels.json'), 'r') as f:\n"," val_json = json.load(f)\n","\n","with open(os.path.join(test_dataset_path, 'labels.json'), 'r') as f:\n"," test_json = json.load(f)\n","\n","n_images = max(train_json['images'][-1]['id'], val_json['images'][-1]['id'], test_json['images'][-1]['id'])\n","n_annotations = max(train_json['annotations'][-1]['id'], val_json['annotations'][-1]['id'], test_json['annotations'][-1]['id'])\n","\n","print(f\"Number of images: {n_images}\")\n","print(f\"Number of annotations: {n_annotations}\")"],"metadata":{"id":"4l6m63pOLFhV"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def augment_dataset(input_path, output_path, transform, n_images, n_annotations, num_augmentations=5):\n"," \"\"\"\n"," Augment a dataset based on COCO format and save the augmented images and annotations.\n","\n"," Parameters:\n"," - input_path: Path to the directory containing the original dataset and 'labels.json'.\n"," - output_path: Path to the directory where the augmented dataset will be saved.\n"," - num_augmentations: Number of augmentations to apply per image.\n","\n"," The function reads the original COCO JSON file, applies specified augmentations to each image,\n"," and saves the augmented images and updated annotations in a new COCO JSON file.\n"," \"\"\"\n"," # Load the original COCO JSON file\n"," with open(os.path.join(input_path, 'labels.json'), 'r') as f:\n"," coco_data = json.load(f)\n","\n"," new_images = []\n"," new_annotations = []\n","\n"," # Copy original images and annotations\n"," for img in tqdm(coco_data['images'], desc=\"Copying original images\"):\n","\n"," # Copy original image\n"," src_path = os.path.join(input_path, 'images', img['file_name'])\n"," dst_path = os.path.join(output_path, 'images', img['file_name'])\n"," #shutil.copy2(src_path, dst_path) # TODO: uncomment\n","\n"," new_images.append(img)\n"," img_anns = [ann for ann in coco_data['annotations'] if ann['image_id'] == img['id']]\n"," new_annotations.extend(img_anns)\n","\n"," # Apply augmentations\n"," for img in tqdm(coco_data['images'], desc=\"Augmenting images\"):\n"," image_path = os.path.join(input_path, 'images', img['file_name'])\n","\n"," # Find annotations for this image\n"," annotations = [ann for ann in coco_data['annotations'] if ann['image_id'] == img['id']]\n","\n"," # Get original image dimensions\n"," image = cv2.imread(image_path)\n"," image_height, image_width = image.shape[:2]\n","\n"," for i in range(num_augmentations):\n"," # Prepare data for augmentation\n"," bboxes = [ann['bbox'] for ann in annotations]\n"," category_ids = [ann['category_id'] for ann in annotations]\n","\n"," # Generate a new filename\n"," new_filename = f\"{os.path.splitext(img['file_name'])[0]}_aug_{i}.jpg\"\n","\n"," # Apply augmentation\n"," new_bboxes, new_category_ids = apply_augmentation( # FIXME: new_bboxes and new_category_ids are always empty\n"," image_path, bboxes, category_ids,\n"," os.path.join(output_path, 'images'), new_filename, transform\n"," )\n","\n"," new_bboxes = [denormalize_bbox(bbox, image_width, image_height) for bbox in new_bboxes]\n","\n"," # Create a new image entry\n"," new_img_id = n_images + 1\n"," new_images.append({\n"," 'id': new_img_id,\n"," 'file_name': new_filename\n"," })\n","\n"," n_images = n_images + 1\n","\n"," # Create new annotations\n"," for bbox, cat_id in zip(new_bboxes, new_category_ids):\n"," new_annotations.append({\n"," 'id': n_annotations + 1,\n"," 'image_id': new_img_id,\n"," 'category_id': cat_id,\n"," 'bbox': bbox\n"," })\n","\n"," n_annotations = n_annotations + 1\n","\n"," # Create the new COCO JSON file\n"," new_coco_data = {\n"," 'categories': coco_data['categories'],\n"," 'images': new_images,\n"," 'annotations': new_annotations\n"," }\n","\n"," ''' # TODO: uncomment\n"," # Save the new COCO JSON file\n"," with open(os.path.join(output_path, 'labels.json'), 'w') as f:\n"," json.dump(new_coco_data, f, indent=4)\n"," '''\n","\n","\n","augmented_train_dataset_path = dest_base_path + 'train_augmented/'\n","\n","os.makedirs(os.path.join(augmented_train_dataset_path, 'images'), exist_ok=True)\n","\n","if (len(os.listdir(augmented_train_dataset_path + 'images/'))) == 0:\n"," augment_dataset(train_dataset_path, augmented_train_dataset_path, transform, n_images, n_annotations, num_augmentations=5)\n","else:\n"," print(\"Augmentation has already been made.\")"],"metadata":{"id":"qzU7uPm9iuny","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["extensions=['.jpg', '.jpeg']\n","count = 0\n","count = sum(1 for filename in os.listdir(os.path.join(augmented_train_dataset_path, 'images')) if any(filename.lower().endswith(ext) for ext in extensions))\n","\n","print(f\"Number of images in the train_augmented folder: {count}\")"],"metadata":{"id":"ER3exrc3ciP5"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#@title Visualize the augmented training data\n","\n","visualize(augmented_train_dataset_path, 12) # FIXME"],"metadata":{"collapsed":true,"id":"lhULs9Lxjgyt"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Rewrite train dataset"],"metadata":{"id":"zbBGHtdpJ98E"}},{"cell_type":"code","source":["# TODO: add if condition (if augmentation has been executed)"],"metadata":{"id":"HBithwlITduj"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["shutil.rmtree(\"/tmp/od_data/train\") # TODO: do I need this instruction ?"],"metadata":{"id":"pUpntlCgYgUh"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train_data = object_detector.Dataset.from_coco_folder(augmented_train_dataset_path, cache_dir=\"/tmp/od_data/train\")\n","print(\"Updated train_data size: \", train_data.size)"],"metadata":{"id":"2A_QSKYdUs2U"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Retrain model"],"metadata":{"id":"IzhODm2CJaMB"}},{"cell_type":"markdown","source":["### Set retraining options"],"metadata":{"id":"jF7sZHYyJcl7"}},{"cell_type":"code","source":["spec = object_detector.SupportedModels.MOBILENET_MULTI_AVG_I384\n","\n","hparams = object_detector.HParams(\n"," learning_rate=0.015,\n"," batch_size=64,\n"," epochs=100,\n"," cosine_decay_epochs=100,\n"," cosine_decay_alpha=0.1,\n"," export_dir='exported_model'\n",")\n","\n","model_options = object_detector.ModelOptions(\n"," l2_weight_decay=1e-4\n",")\n","\n","options = object_detector.ObjectDetectorOptions(\n"," supported_model=spec,\n"," hparams=hparams,\n"," model_options=model_options\n",")"],"metadata":{"id":"iC6cVSpVJWFw"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Run retraining"],"metadata":{"id":"bfQoIMPOJhK5"}},{"cell_type":"code","source":["model = object_detector.ObjectDetector.create(\n"," train_data=train_data,\n"," validation_data=validation_data,\n"," options=options\n",")"],"metadata":{"id":"BxT1UHQWJfAX","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Evaluate the model performance\n","\n","After training the model, evaluate it on validation dataset and print the loss and coco_metrics. The most important metric for evaluating the model performance is typically the \"AP\" coco metric for Average Precision."],"metadata":{"id":"y3h_cOytJjXk"}},{"cell_type":"code","source":["# TODO: is it possible to add a progress bar?"],"metadata":{"id":"WaUndk7ZZgbk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["loss, coco_metrics = model.evaluate(validation_data, batch_size=4)\n","print(f\"Validation loss: {loss}\")\n","print(f\"Validation coco metrics: {coco_metrics}\")"],"metadata":{"id":"kJabrlEjJkmH","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Export model\n","\n","After creating the model, convert and export it to a Tensorflow Lite model format for later use on an on-device application. The export also includes model metadata, which includes the label map."],"metadata":{"id":"Vkg5K-xWJmj6"}},{"cell_type":"code","source":["# TODO: do I need to remove the existing model first?"],"metadata":{"id":"eQ3BCV__LXaB"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["model.export_model()\n","!ls exported_model\n","files.download('exported_model/model.tflite')"],"metadata":{"id":"ADUK65tBJn7x","collapsed":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Model quantization"],"metadata":{"id":"6g6QkA6YJpf8"}},{"cell_type":"markdown","source":["Model quantization is a model modification technique that can reduce the model size and improve the speed of predictions with only a relatively minor decrease in accuracy.\n","\n","This section of the guide explains how to apply quantization to your model. Model Maker supports two forms of quantization for object detector:\n","1. Quantization Aware Training: 8 bit integer precision for CPU usage\n","2. Post-Training Quantization: 16 bit floating point precision for GPU usage"],"metadata":{"id":"Jl1Dc9EhJtRo"}},{"cell_type":"markdown","source":["### Quantization aware training (int8 quantization)\n","Quantization aware training (QAT) is a fine-tuning step which happens after fully training your model. This technique further tunes a model which emulates inference time quantization in order to account for the lower precision of 8 bit integer quantization. For on-device applications with a standard CPU, use Int8 precision. For more information, see the [TensorFlow Lite](https://www.tensorflow.org/model_optimization/guide/quantization/training) documentation.\n","\n","To apply quantization aware training and export to an int8 model, create a `QATHParams` configuration and run the `quantization_aware_training` method. See the **Hyperparameters** section below on detailed usage of `QATHParams`."],"metadata":{"id":"D88f-mqgJvwi"}},{"cell_type":"code","source":["qat_hparams = object_detector.QATHParams(learning_rate=0.3, batch_size=4, epochs=10, decay_steps=6, decay_rate=0.96)\n","model.quantization_aware_training(train_data, validation_data, qat_hparams=qat_hparams)\n","qat_loss, qat_coco_metrics = model.evaluate(validation_data)\n","print(f\"QAT validation loss: {qat_loss}\")\n","print(f\"QAT validation coco metrics: {qat_coco_metrics}\")"],"metadata":{"id":"NbTDJtEJJr7Y"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["The QAT step often requires multiple runs to tune the parameters of training. To avoid having to rerun model training using the `create` method, use the `restore_float_ckpt` method to restore the model state back to the fully trained float model(After running the `create` method) in order to run QAT again."],"metadata":{"id":"5KEPghm9JyUi"}},{"cell_type":"code","source":["new_qat_hparams = object_detector.QATHParams(learning_rate=0.9, batch_size=4, epochs=15, decay_steps=5, decay_rate=0.96)\n","model.restore_float_ckpt()\n","model.quantization_aware_training(train_data, validation_data, qat_hparams=new_qat_hparams)\n","qat_loss, qat_coco_metrics = model.evaluate(validation_data)\n","print(f\"QAT validation loss: {qat_loss}\")\n","print(f\"QAT validation coco metrics: {qat_coco_metrics}\")"],"metadata":{"id":"vALj8IqaJ1B4"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Finally, us the `export_model` to export to an int8 quantized model. The `export_model` function will automatically export to either float32 or int8 model depending on whether `quantization_aware_training` was run."],"metadata":{"id":"HdZAaTJKJ4ky"}},{"cell_type":"code","source":["model.export_model('model_int8_qat.tflite')\n","!ls -lh exported_model\n","files.download('exported_model/model_int8_qat.tflite')"],"metadata":{"id":"AePYkJHwJ2OG"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Post-training quantization (fp16 quantization)\n","\n","Post-training model quantization is a model modification technique that can reduce the model size and improve the speed of predictions with only a relatively minor decrease in accuracy. This approach reduces the size of the data processed by the model, for example by transforming 32-bit floating point numbers to 16-bit floats. Float16 quantization is reccomended for GPU usage. For more information, see the [TensorFlow Lite](https://www.tensorflow.org/model_optimization/guide/quantization/post_training) documentation.\n","\n","First, import the MediaPipe Model Maker quantization module:"],"metadata":{"id":"mm4gCymvJ7wK"}},{"cell_type":"code","source":["from mediapipe_model_maker import quantization"],"metadata":{"id":"mt8zeY52J8Gk"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Define a QuantizationConfig object using the `for_float16()` class method. This configuration modifies a trained model to use 16-bit floating point numbers instead of 32-bit floating point numbers. You can further customize the quantization process by setting additional parameters for the QuantizationConfig class."],"metadata":{"id":"r6eGgib4J-Ac"}},{"cell_type":"code","source":["quantization_config = quantization.QuantizationConfig.for_float16()"],"metadata":{"id":"IjAn-GBKJ_ab"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Export the model using the additional quantization_config object to apply post-training quantization. Note that if you previously ran `quantization_aware_training`, you must first convert the model back to a float model by using `restore_float_ckpt`."],"metadata":{"id":"ChqPtssVKCA8"}},{"cell_type":"code","source":["model.restore_float_ckpt()\n","model.export_model(model_name=\"model_fp16.tflite\", quantization_config=quantization_config)\n","!ls -lh exported_model\n","files.download('exported_model/model_fp16.tflite')"],"metadata":{"id":"f90WxGNNKCSW"},"execution_count":null,"outputs":[]}],"metadata":{"colab":{"last_runtime":{"build_target":"//learning/grp/tools/ml_python:ml_notebook","kind":"private"},"private_outputs":true,"provenance":[{"file_id":"https://github.com/googlesamples/mediapipe/blob/main/examples/customization/object_detector.ipynb","timestamp":1720270505355},{"file_id":"11PG1YgsQWWLJ8jpqJ6QY7hjYWzxVwoCb","timestamp":1677706798050}],"gpuType":"T4","collapsed_sections":["zbBGHtdpJ98E","bfQoIMPOJhK5","y3h_cOytJjXk","Vkg5K-xWJmj6","6g6QkA6YJpf8"]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0} \ No newline at end of file