Merge pull request #3584 from littletomatodonkey/dyg/fix_bool
rename bool to str2bool
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commit
f262e33e1f
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@ -51,7 +51,7 @@ def init_args():
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parser.add_argument("--det_db_box_thresh", type=float, default=0.6)
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parser.add_argument("--det_db_unclip_ratio", type=float, default=1.5)
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parser.add_argument("--max_batch_size", type=int, default=10)
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parser.add_argument("--use_dilation", type=bool, default=False)
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parser.add_argument("--use_dilation", type=str2bool, default=False)
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parser.add_argument("--det_db_score_mode", type=str, default="fast")
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# EAST parmas
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parser.add_argument("--det_east_score_thresh", type=float, default=0.8)
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@ -61,7 +61,7 @@ def init_args():
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# SAST parmas
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parser.add_argument("--det_sast_score_thresh", type=float, default=0.5)
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parser.add_argument("--det_sast_nms_thresh", type=float, default=0.2)
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parser.add_argument("--det_sast_polygon", type=bool, default=False)
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parser.add_argument("--det_sast_polygon", type=str2bool, default=False)
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# params for text recognizer
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parser.add_argument("--rec_algorithm", type=str, default='CRNN')
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@ -90,7 +90,7 @@ def init_args():
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parser.add_argument(
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"--e2e_char_dict_path", type=str, default="./ppocr/utils/ic15_dict.txt")
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parser.add_argument("--e2e_pgnet_valid_set", type=str, default='totaltext')
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parser.add_argument("--e2e_pgnet_polygon", type=bool, default=True)
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parser.add_argument("--e2e_pgnet_polygon", type=str2bool, default=True)
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parser.add_argument("--e2e_pgnet_mode", type=str, default='fast')
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# params for text classifier
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@ -111,7 +111,7 @@ def init_args():
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parser.add_argument("--total_process_num", type=int, default=1)
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parser.add_argument("--process_id", type=int, default=0)
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parser.add_argument("--benchmark", type=bool, default=False)
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parser.add_argument("--benchmark", type=str2bool, default=False)
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parser.add_argument("--save_log_path", type=str, default="./log_output/")
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parser.add_argument("--show_log", type=str2bool, default=True)
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@ -210,22 +210,22 @@ def create_predictor(args, mode, logger):
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"nearest_interp_v2_0.tmp_0": [1, 256, 40, 40]
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}
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min_pact_shape = {
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"nearest_interp_v2_26.tmp_0":[1,256,20,20],
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"nearest_interp_v2_27.tmp_0":[1,64,20,20],
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"nearest_interp_v2_28.tmp_0":[1,64,20,20],
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"nearest_interp_v2_29.tmp_0":[1,64,20,20]
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"nearest_interp_v2_26.tmp_0": [1, 256, 20, 20],
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"nearest_interp_v2_27.tmp_0": [1, 64, 20, 20],
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"nearest_interp_v2_28.tmp_0": [1, 64, 20, 20],
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"nearest_interp_v2_29.tmp_0": [1, 64, 20, 20]
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}
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max_pact_shape = {
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"nearest_interp_v2_26.tmp_0":[1,256,400,400],
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"nearest_interp_v2_27.tmp_0":[1,64,400,400],
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"nearest_interp_v2_28.tmp_0":[1,64,400,400],
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"nearest_interp_v2_29.tmp_0":[1,64,400,400]
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"nearest_interp_v2_26.tmp_0": [1, 256, 400, 400],
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"nearest_interp_v2_27.tmp_0": [1, 64, 400, 400],
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"nearest_interp_v2_28.tmp_0": [1, 64, 400, 400],
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"nearest_interp_v2_29.tmp_0": [1, 64, 400, 400]
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}
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opt_pact_shape = {
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"nearest_interp_v2_26.tmp_0":[1,256,160,160],
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"nearest_interp_v2_27.tmp_0":[1,64,160,160],
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"nearest_interp_v2_28.tmp_0":[1,64,160,160],
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"nearest_interp_v2_29.tmp_0":[1,64,160,160]
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"nearest_interp_v2_26.tmp_0": [1, 256, 160, 160],
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"nearest_interp_v2_27.tmp_0": [1, 64, 160, 160],
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"nearest_interp_v2_28.tmp_0": [1, 64, 160, 160],
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"nearest_interp_v2_29.tmp_0": [1, 64, 160, 160]
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}
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min_input_shape.update(min_pact_shape)
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max_input_shape.update(max_pact_shape)
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