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Fix fast image processor warnings in object detection examples (#35892)
Have the DETR examples default to using the fast image processor
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2 changed files with 12 additions and 0 deletions
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@ -271,6 +271,10 @@ class DataTrainingArguments:
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)
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},
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)
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use_fast: Optional[bool] = field(
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default=True,
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metadata={"help": "Use a fast torchvision-base image processor if it is supported for a given model."},
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)
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@dataclass
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@ -427,6 +431,7 @@ def main():
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size={"max_height": data_args.image_square_size, "max_width": data_args.image_square_size},
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do_pad=True,
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pad_size={"height": data_args.image_square_size, "width": data_args.image_square_size},
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use_fast=data_args.use_fast,
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**common_pretrained_args,
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)
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@ -256,6 +256,12 @@ def parse_args():
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default=1333,
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help="Image longest size will be resized to this value, then image will be padded to square.",
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)
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parser.add_argument(
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"--use_fast",
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type=bool,
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default=True,
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help="Use a fast torchvision-base image processor if it is supported for a given model.",
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)
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parser.add_argument(
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"--cache_dir",
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type=str,
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@ -482,6 +488,7 @@ def main():
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size={"max_height": args.image_square_size, "max_width": args.image_square_size},
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do_pad=True,
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pad_size={"height": args.image_square_size, "width": args.image_square_size},
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use_fast=args.use_fast,
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**common_pretrained_args,
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)
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