未验证 提交 f1cd0c35 编写于 作者: D Double_V 提交者: GitHub

Merge pull request #2091 from LDOUBLEV/trt_cpp

fix gap between train_model predict and inference
...@@ -39,10 +39,7 @@ class TextDetector(object): ...@@ -39,10 +39,7 @@ class TextDetector(object):
self.args = args self.args = args
self.det_algorithm = args.det_algorithm self.det_algorithm = args.det_algorithm
pre_process_list = [{ pre_process_list = [{
'DetResizeForTest': { 'DetResizeForTest': None
'limit_side_len': args.det_limit_side_len,
'limit_type': args.det_limit_type
}
}, { }, {
'NormalizeImage': { 'NormalizeImage': {
'std': [0.229, 0.224, 0.225], 'std': [0.229, 0.224, 0.225],
......
...@@ -97,7 +97,7 @@ def main(): ...@@ -97,7 +97,7 @@ def main():
preds = model(images) preds = model(images)
post_result = post_process_class(preds, shape_list) post_result = post_process_class(preds, shape_list)
boxes = post_result[0]['points'] boxes = post_result[0]['points']
# write resule # write result
dt_boxes_json = [] dt_boxes_json = []
for box in boxes: for box in boxes:
tmp_json = {"transcription": ""} tmp_json = {"transcription": ""}
......
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