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fixed some bugs #2992

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fixed some bugs #2992

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2 changes: 1 addition & 1 deletion docs/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_detection.md
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@ paddlex --pipeline open_vocabulary_detection \

```python
from paddlex import create_pipeline
pipeline = create_pipeline(pipeline_name="open_vocabulary_detection")
pipeline = create_pipeline(pipeline="open_vocabulary_detection")
output = pipeline.predict(input="open_vocabulary_detection.jpg", prompt="bus . walking man . rearview mirror .")
for res in output:
res.print()
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2 changes: 1 addition & 1 deletion docs/pipeline_usage/tutorials/cv_pipelines/open_vocabulary_segmentation.md
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Expand Up @@ -73,7 +73,7 @@ paddlex --pipeline open_vocabulary_segmentation \

```python
from paddlex import create_pipeline
pipeline = create_pipeline(pipeline_name="open_vocabulary_segmentation")
pipeline = create_pipeline(pipeline="open_vocabulary_segmentation")
output = pipeline.predict(input="open_vocabulary_segmentation.jpg", prompt_type="box", prompt=[[112.9,118.4,513.8,382.1],[4.6,263.6,92.2,336.6],[592.4,260.9,607.2,294.2]])
for res in output:
res.print()
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6 changes: 3 additions & 3 deletions paddlex/inference/models/open_vocabulary_detection/predictor.py
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Expand Up @@ -94,8 +94,8 @@ def process(
dict: A dictionary containing the input path, raw image, class IDs, scores, and label names
for every instance of the batch. Keys include 'input_path', 'input_img', 'class_ids', 'scores', and 'label_names'.
"""
image_paths = batch_data
src_images = self.pre_ops[0](batch_data)
image_paths = batch_data.input_paths
src_images = self.pre_ops[0](batch_data.instances)
datas = src_images
# preprocess
for pre_op in self.pre_ops[1:-1]:
Expand All @@ -117,7 +117,7 @@ def process(

return {
"input_path": image_paths,
"input_img": src_images,
"input_img": [img[..., ::-1] for img in src_images],
"boxes": boxes,
}

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4 changes: 2 additions & 2 deletions paddlex/inference/models/open_vocabulary_segmentation/predictor.py
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Expand Up @@ -90,8 +90,8 @@ def process(self, batch_data: List[Any], prompts: Dict[str, Any]):
dict: A dictionary containing the input path, raw image, class IDs, scores, and label names
for every instance of the batch. Keys include 'input_path', 'input_img', 'class_ids', 'scores', and 'label_names'.
"""
image_paths = batch_data
src_images = self.pre_ops[0](batch_data)
image_paths = batch_data.input_paths
src_images = self.pre_ops[0](batch_data.instances)
datas = src_images
# preprocess
for pre_op in self.pre_ops[1:-1]:
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