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Create SegmentationResult doc and evaluation functions (#119)
* Update README.md * Update README.md * Update README.md * Create README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add evaluation calculate time and fix some bugs * Update classification __init__ * Move to ppseg * Add segmentation doc * Add PaddleClas infer.py * Update PaddleClas infer.py * Delete .infer.py.swp * Add PaddleClas infer.cc * Update README.md * Update README.md * Update README.md * Update infer.py * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add PaddleSeg doc and infer.cc demo * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Create segmentation_result.md * Update README.md * Update segmentation_result.md * Update segmentation_result.md * Update segmentation_result.md * Update classification and detection evaluation function Co-authored-by: Jason <jiangjiajun@baidu.com>
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@@ -71,7 +71,12 @@ def eval_classify(model, image_file_path, label_file_path, topk=5):
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topk_acc_score = topk_accuracy(np.array(result_list), np.array(label_list))
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if topk == 1:
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scores.update({'topk1': topk_acc_score})
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scores.update({
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'topk1_average_inference_time(s)': average_inference_time
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})
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elif topk == 5:
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scores.update({'topk5': topk_acc_score})
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scores.update({'average_inference_time': average_inference_time})
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scores.update({
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'topk5_average_inference_time(s)': average_inference_time
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})
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return scores
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