提交 1271db6d 编写于 作者: W WenmuZhou

fix mem

上级 1a087990
...@@ -98,10 +98,10 @@ class TextClassifier(object): ...@@ -98,10 +98,10 @@ class TextClassifier(object):
norm_img_batch = np.concatenate(norm_img_batch) norm_img_batch = np.concatenate(norm_img_batch)
norm_img_batch = norm_img_batch.copy() norm_img_batch = norm_img_batch.copy()
starttime = time.time() starttime = time.time()
self.input_tensor.copy_from_cpu(norm_img_batch) self.input_tensor.copy_from_cpu(norm_img_batch)
self.predictor.run() self.predictor.run()
prob_out = self.output_tensors[0].copy_to_cpu() prob_out = self.output_tensors[0].copy_to_cpu()
self.predictor.try_shrink_memory()
cls_result = self.postprocess_op(prob_out) cls_result = self.postprocess_op(prob_out)
elapse += time.time() - starttime elapse += time.time() - starttime
for rno in range(len(cls_result)): for rno in range(len(cls_result)):
......
...@@ -180,7 +180,7 @@ class TextDetector(object): ...@@ -180,7 +180,7 @@ class TextDetector(object):
preds['maps'] = outputs[0] preds['maps'] = outputs[0]
else: else:
raise NotImplementedError raise NotImplementedError
self.predictor.try_shrink_memory()
post_result = self.postprocess_op(preds, shape_list) post_result = self.postprocess_op(preds, shape_list)
dt_boxes = post_result[0]['points'] dt_boxes = post_result[0]['points']
if self.det_algorithm == "SAST" and self.det_sast_polygon: if self.det_algorithm == "SAST" and self.det_sast_polygon:
......
...@@ -237,7 +237,7 @@ class TextRecognizer(object): ...@@ -237,7 +237,7 @@ class TextRecognizer(object):
output = output_tensor.copy_to_cpu() output = output_tensor.copy_to_cpu()
outputs.append(output) outputs.append(output)
preds = outputs[0] preds = outputs[0]
self.predictor.try_shrink_memory()
rec_result = self.postprocess_op(preds) rec_result = self.postprocess_op(preds)
for rno in range(len(rec_result)): for rno in range(len(rec_result)):
rec_res[indices[beg_img_no + rno]] = rec_result[rno] rec_res[indices[beg_img_no + rno]] = rec_result[rno]
......
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