Comments (1)
Hi there, thank you for your interest in our project!
We've provided a Jupyter notebook that allows you to visualize the feature maps of SD, DINO, and Fused features. You can find it here: demo_vis_features.ipynb.
By default, the notebook is set up to visualize the Fused features. If you'd like to visualize the SD features, you can do this by changing the FUSE_DINO
variable (in the second code block) from 1
to 0
. Similarly, to visualize the DINO features, change the ONLY_DINO
variable from 0
to 1
.
The repository should be straightforward to clone onto Google Colab. And if you encounter any issues or have any questions, please don't hesitate to reach out to us. Thanks!
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Related Issues (16)
- get_mask cannot return valid mask HOT 3
- 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
- Model parameter mismatch HOT 2
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from sd-dino.