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Unverified Commit 1aef87d0 authored by Negin Raoof's avatar Negin Raoof Committed by GitHub
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[ONNX] fix dynamic resize (#2488) 

* Update transform.py

* Update transform.py
parent d481f2d8
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Showing with 2 additions and 2 deletions
torchvision/models/detection/transform.py
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...@@ -20,7 +20,7 @@ def _resize_image_and_masks_onnx(image, self_min_size, self_max_size, target): ...@@ -20,7 +20,7 @@ def _resize_image_and_masks_onnx(image, self_min_size, self_max_size, target):
scale_factor = torch.min(self_min_size / min_size, self_max_size / max_size) scale_factor = torch.min(self_min_size / min_size, self_max_size / max_size)
image = torch.nn.functional.interpolate( image = torch.nn.functional.interpolate(
image[None], scale_factor=scale_factor, mode='bilinear', image[None], scale_factor=scale_factor, mode='bilinear', recompute_scale_factor=True,
align_corners=False)[0] align_corners=False)[0]
if target is None: if target is None:
...@@ -42,7 +42,7 @@ def _resize_image_and_masks(image, self_min_size, self_max_size, target): ...@@ -42,7 +42,7 @@ def _resize_image_and_masks(image, self_min_size, self_max_size, target):
if max_size * scale_factor > self_max_size: if max_size * scale_factor > self_max_size:
scale_factor = self_max_size / max_size scale_factor = self_max_size / max_size
image = torch.nn.functional.interpolate( image = torch.nn.functional.interpolate(
image[None], scale_factor=scale_factor, mode='bilinear', image[None], scale_factor=scale_factor, mode='bilinear', recompute_scale_factor=True,
align_corners=False)[0] align_corners=False)[0]
if target is None: if target is None:
......
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