Comments (2)
Hi, thanks for your interest in our work!
The problem of weights mismatch is as expected, because the features we used for correspondence is different from the one used to generate the segmentation mask in ODISE (more details in Supp. Tab. 2). One simple fix is to set decoder_only=False
for generating the mask, though the correspondence quality might be slightly lower.
Please refer to #12 and #1 (both are similar or same issue) for more details. Thanks!
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@Junyi42 Thank you so much. My issue is well resolved.
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Related Issues (16)
- get_mask cannot return valid mask HOT 3
- Collab Demo HOT 1
- Code for PCA HOT 3
- Object Swapping (with refinement process) HOT 2
- how to fix the issue of 'RuntimeError: Panoptic/odise_label_coco_50e.py not available in Model Zoo!' HOT 7
- cannot `get_mask` when I vary the cuda device HOT 3
- ValueError: a must be greater than 0 unless no samples are taken HOT 5
- AttributeError: module 'keras.backend' has no attribute 'is_tensor' HOT 3
- Details about how to extract sd features HOT 1
- Questions about sd features HOT 2
- Installation issues for Mask Former HOT 2
- Result different from demo_vis_features.ipynb HOT 4
- License? HOT 1
- The image size for extracting the Dinov2-pretrained-model HOT 2
- Establish environment HOT 3
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