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Running on CPU Upgrade
Running on CPU Upgrade
Tuan Tran commited on
Commit ·
ad74189
1
Parent(s): a733824
update links and README
Browse files- README.md +1 -1
- backend/descriptions.py +1 -1
README.md
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@@ -87,7 +87,7 @@ By default, datasets are loaded over the network based on `backend/config.py`. P
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There is commented out code that sets the `ABS_DATASET_DOMAIN` to the `backend/data` directory. You can see the data formats of the csv / json files required to render the leaderboard as well as examples there.
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In the `data` directory, by default this matches the path structure for loading over the network. Each dataset should be placed under `data/omnisealbench` as a directory, e.g. `data/omnisealbench/
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- `{type}_benchmark.csv` for leaderboard tables
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- `{type}_attacks_variations.csv` for leaderboard chart
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There is commented out code that sets the `ABS_DATASET_DOMAIN` to the `backend/data` directory. You can see the data formats of the csv / json files required to render the leaderboard as well as examples there.
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In the `data` directory, by default this matches the path structure for loading over the network. Each dataset should be placed under `data/omnisealbench` as a directory, e.g. `data/omnisealbench/sav_val_full_v3` and in the directory have files:
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- `{type}_benchmark.csv` for leaderboard tables
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- `{type}_attacks_variations.csv` for leaderboard chart
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backend/descriptions.py
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@@ -210,7 +210,7 @@ MODEL_DESCRIPTIONS = {
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"pixelseal": {
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"full_name": "PixelSeal",
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"description": "Adversarial-only training for invisible image and video watermarking.",
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"paper_link": "https://arxiv.org/abs/
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"github_link": "https://github.com/facebookresearch/videoseal",
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"message_size": "256 bits",
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"alias": "PixelSeal"
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"pixelseal": {
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"full_name": "PixelSeal",
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"description": "Adversarial-only training for invisible image and video watermarking.",
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"paper_link": "https://arxiv.org/abs/2512.16874",
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"github_link": "https://github.com/facebookresearch/videoseal",
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"message_size": "256 bits",
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"alias": "PixelSeal"
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