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@@ -740,7 +740,7 @@ class PicoDet(BaseDetector):
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return batch_transforms
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def _fix_transforms_shape(self, image_shape):
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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has_resize_op = False
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resize_op_idx = -1
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normalize_op_idx = len(self.test_transforms.transforms)
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@@ -767,7 +767,7 @@ class PicoDet(BaseDetector):
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self._fix_transforms_shape(image_shape[-2:])
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else:
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image_shape = [None, 3, 320, 320]
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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for idx, op in enumerate(self.test_transforms.transforms):
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name = op.__class__.__name__
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if name == 'Resize':
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@@ -912,7 +912,7 @@ class YOLOv3(BaseDetector):
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return batch_transforms
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def _fix_transforms_shape(self, image_shape):
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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has_resize_op = False
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resize_op_idx = -1
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normalize_op_idx = len(self.test_transforms.transforms)
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@@ -1279,7 +1279,7 @@ class FasterRCNN(BaseDetector):
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return batch_transforms
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def _fix_transforms_shape(self, image_shape):
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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has_resize_op = False
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resize_op_idx = -1
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normalize_op_idx = len(self.test_transforms.transforms)
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@@ -1490,7 +1490,7 @@ class PPYOLO(YOLOv3):
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self._fix_transforms_shape(image_shape[-2:])
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else:
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image_shape = [None, 3, 608, 608]
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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for idx, op in enumerate(self.test_transforms.transforms):
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name = op.__class__.__name__
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if name == 'Resize':
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@@ -1618,7 +1618,7 @@ class PPYOLOTiny(YOLOv3):
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self._fix_transforms_shape(image_shape[-2:])
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else:
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image_shape = [None, 3, 320, 320]
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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for idx, op in enumerate(self.test_transforms.transforms):
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name = op.__class__.__name__
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if name == 'Resize':
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@@ -1765,7 +1765,7 @@ class PPYOLOv2(YOLOv3):
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self._fix_transforms_shape(image_shape[-2:])
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else:
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image_shape = [None, 3, 640, 640]
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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for idx, op in enumerate(self.test_transforms.transforms):
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name = op.__class__.__name__
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if name == 'Resize':
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@@ -2127,7 +2127,7 @@ class MaskRCNN(BaseDetector):
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return batch_transforms
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def _fix_transforms_shape(self, image_shape):
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- if getattr(self, 'test_transforms', None) is not None:
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+ if getattr(self, 'test_transforms', None):
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has_resize_op = False
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resize_op_idx = -1
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normalize_op_idx = len(self.test_transforms.transforms)
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will-jl944