fix mem
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1a087990d0
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1271db6d7c
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@ -98,10 +98,10 @@ class TextClassifier(object):
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norm_img_batch = np.concatenate(norm_img_batch)
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norm_img_batch = np.concatenate(norm_img_batch)
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norm_img_batch = norm_img_batch.copy()
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norm_img_batch = norm_img_batch.copy()
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starttime = time.time()
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starttime = time.time()
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self.input_tensor.copy_from_cpu(norm_img_batch)
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self.input_tensor.copy_from_cpu(norm_img_batch)
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self.predictor.run()
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self.predictor.run()
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prob_out = self.output_tensors[0].copy_to_cpu()
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prob_out = self.output_tensors[0].copy_to_cpu()
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self.predictor.try_shrink_memory()
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cls_result = self.postprocess_op(prob_out)
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cls_result = self.postprocess_op(prob_out)
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elapse += time.time() - starttime
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elapse += time.time() - starttime
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for rno in range(len(cls_result)):
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for rno in range(len(cls_result)):
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@ -180,7 +180,7 @@ class TextDetector(object):
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preds['maps'] = outputs[0]
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preds['maps'] = outputs[0]
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else:
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else:
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raise NotImplementedError
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raise NotImplementedError
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self.predictor.try_shrink_memory()
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post_result = self.postprocess_op(preds, shape_list)
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post_result = self.postprocess_op(preds, shape_list)
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dt_boxes = post_result[0]['points']
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dt_boxes = post_result[0]['points']
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if self.det_algorithm == "SAST" and self.det_sast_polygon:
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if self.det_algorithm == "SAST" and self.det_sast_polygon:
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@ -237,7 +237,7 @@ class TextRecognizer(object):
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output = output_tensor.copy_to_cpu()
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output = output_tensor.copy_to_cpu()
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outputs.append(output)
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outputs.append(output)
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preds = outputs[0]
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preds = outputs[0]
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self.predictor.try_shrink_memory()
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rec_result = self.postprocess_op(preds)
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rec_result = self.postprocess_op(preds)
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for rno in range(len(rec_result)):
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for rno in range(len(rec_result)):
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rec_res[indices[beg_img_no + rno]] = rec_result[rno]
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rec_res[indices[beg_img_no + rno]] = rec_result[rno]
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