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Resize bug in inference
See original GitHub issue- When input the width and height of the image are not equal, sizes of input arguments that do not match will occur
Line 152 in ./anomalib/deploy/inferencers/torch.py should be anomaly_map = cv2.resize(anomaly_map, (meta_data["image_shape"][1], meta_data["image_shape"][0]))
meta_data[“image_shape”] is (image_width, image_height)
-# cv2.resize(img, (image_height，image_width ),interpolation=cv2.INTER_CUBIC)
Issue Analytics
- State:
- Created 2 years ago
- Comments:12 (7 by maintainers)
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@raviv https://github.com/openvinotoolkit/anomalib/pull/135 should solve the
image_sizeproblems for both training and inference for most models. Patchcore and GANomaly still do not allow changing the image size, but this will be addressed separately, see https://github.com/openvinotoolkit/anomalib/issues/136 and https://github.com/openvinotoolkit/anomalib/issues/40.@raviv PR #140 has now been merged, and the issue should be fixed. Feel free to re-open it if you think there is still an issue