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torchvision/prototype/models/detection/faster_rcnn.py

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@@ -207,7 +207,7 @@ def fasterrcnn_mobilenet_v3_large_320_fpn(
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# I don't have a better proposal TBH.
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# I think the complexity of those weight names can be greatly reduced by:
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# - good docs (which I know is part of the future work)
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# - good defaults like "pretrained" or "latest" or whatever is easy to remember for the user, as suggested in another comment
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# - good "preset values" like "pretrained" or "latest" or whatever is easy to remember for the user, as suggested in another comment
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weights = FasterRCNNMobileNetV3Large320FPNWeights.Coco_RefV1 if kwargs.pop("pretrained") else None
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weights = FasterRCNNMobileNetV3Large320FPNWeights.verify(weights)
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if "pretrained_backbone" in kwargs:

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