Adjusting comments on sample codes

samples/sample_1/sample_1.py

@@ -2,7 +2,8 @@
 #                                                                                         #
 # This sample demonstrates:                                                               #
 # * How to create your own bounding boxes (detections and ground truth) manually;         #
-# * Fill the object of the class BoundingBoxes with your bounding boxes;                  #
+# * Ground truth bounding boxes are drawn in green and detected boxes are drawn in red;   #
+# * Create objects of the class BoundingBoxes with your bounding boxes;                   #
 # * Create images with detections and ground truth;                                       #
 #                                                                                         #
 # Developed by: Rafael Padilla ([email protected])                               #
@@ -11,12 +12,13 @@
 #        Last modification: May 24th 2018                                                 #
 ###########################################################################################
 
+import os
+
 import _init_paths
 import cv2
-import os
-from utils import *
 from BoundingBox import BoundingBox
 from BoundingBoxes import BoundingBoxes
+from utils import *
 
 ###########################
 # Defining bounding boxes #

samples/sample_2/sample_2.py

@@ -1,8 +1,8 @@
 ###########################################################################################
 #                                                                                         #
 # This sample shows how to evaluate object detections applying the following metrics:     #
-#  * Precision x Recall curve       ---->       used by VOC PASCAL 2012)                  #
-#  * Average Precision (AP)         ---->       used by VOC PASCAL 2012)                  #
+#  * Precision x Recall curve       ---->       used by VOC PASCAL 2012                   #
+#  * Average Precision (AP)         ---->       used by VOC PASCAL 2012                   #
 #                                                                                         #
 # Developed by: Rafael Padilla ([email protected])                               #
 #        SMT - Signal Multimedia and Telecommunications Lab                               #
@@ -136,12 +136,11 @@ def createImages(dictGroundTruth, dictDetected):
 ##############################################################
 # Plot Precision x Recall curve
 evaluator.PlotPrecisionRecallCurve(
-    'object',  # Class to show
     boundingboxes,  # Object containing all bounding boxes (ground truths and detections)
     IOUThreshold=0.3,  # IOU threshold
     method=MethodAveragePrecision.EveryPointInterpolation,  # As the official matlab code
     showAP=True,  # Show Average Precision in the title of the plot
-    showInterpolatedPrecision=True)  # Don't plot the interpolated precision curve
+    showInterpolatedPrecision=True)  # Plot the interpolated precision curve
 # Get metrics with PASCAL VOC metrics
 metricsPerClass = evaluator.GetPascalVOCMetrics(
     boundingboxes,  # Object containing all bounding boxes (ground truths and detections)