WildMatch paper checkpoints: matcher-only LoMa-B and RDD-LightGlue, epoch 299
Browse files- README.md +25 -0
- SHA256SUMS.md +24 -0
- czechlynx_closed/loma/czechlynx_protocol.json +9 -0
- czechlynx_closed/loma/model.safetensors +3 -0
- czechlynx_closed/rdd-lightglue/czechlynx_protocol.json +14 -0
- czechlynx_closed/rdd-lightglue/model.safetensors +3 -0
- czechlynx_open/loma/czechlynx_protocol.json +9 -0
- czechlynx_open/loma/model.safetensors +3 -0
- czechlynx_open/rdd-lightglue/czechlynx_protocol.json +9 -0
- czechlynx_open/rdd-lightglue/model.safetensors +3 -0
- hyenaid2022/loma/model.safetensors +3 -0
- hyenaid2022/rdd-lightglue/model.safetensors +3 -0
- leopardid2022/loma/model.safetensors +3 -0
- leopardid2022/rdd-lightglue/model.safetensors +3 -0
- nyala/loma/model.safetensors +3 -0
- nyala/rdd-lightglue/model.safetensors +3 -0
- salamander/loma/model.safetensors +3 -0
- salamander/rdd-lightglue/model.safetensors +3 -0
- seastarreid2023/loma/model.safetensors +3 -0
- seastarreid2023/rdd-lightglue/model.safetensors +3 -0
- whaleshark/loma/model.safetensors +3 -0
- whaleshark/rdd-lightglue/model.safetensors +3 -0
- zindi/loma/model.safetensors +3 -0
- zindi/rdd-lightglue/model.safetensors +3 -0
README.md
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---
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license: other
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tags:
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- wildlife
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- re-identification
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- image-matching
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---
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# WildMatch checkpoints
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Fine-tuned matcher checkpoints for wildlife individual re-identification (WildMatch):
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LoMa-B and RDD-LightGlue, matching module only, epoch 299, one pair per dataset.
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Layout: `<dataset>/<matcher>/model.safetensors`, plus `czechlynx_protocol.json` training
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provenance next to the CzechLynx weights. `SHA256SUMS.md` lists every file's SHA-256.
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Download and verify with the `wildmatch` package:
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```bash
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wildmatch weights download --dataset salamander # one dataset, or omit --dataset for all
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wildmatch weights verify
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```
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The licence of these weights is still being settled; they are derived from the LoMa-B and
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RDD-LightGlue weights and keep their terms. Not for redistribution until then.
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SHA256SUMS.md
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| file | sha256 |
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| --- | --- |
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| `hyenaid2022/loma/model.safetensors` | `faba16040c5d0102f25483b3b7a609de40926a62097d05dd995bc86f9dcfb7ec` |
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| `hyenaid2022/rdd-lightglue/model.safetensors` | `06499866d7fcfb0349e273f51d19b1a7d3b9ba8163cbf5b0cad669b6ac9c1a37` |
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| `leopardid2022/loma/model.safetensors` | `bdd4819017b28c51cbbd2c51c72d313a6e425679dac0aeb080af7827d99ecc6b` |
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| `leopardid2022/rdd-lightglue/model.safetensors` | `6a18b876d661b48a66a72660ec46c1be7d0f5dcc85ef4ef138ff3c35ce5e4f59` |
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| `nyala/loma/model.safetensors` | `c0cbe570e99235d73a19a0329ecdbdd232ae94fd0d73c5bc1d170cde918a6d05` |
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| `nyala/rdd-lightglue/model.safetensors` | `d2da7c9e7eb57f612774a5057645f2543c4f12041b317783237655f661792b81` |
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| `seastarreid2023/loma/model.safetensors` | `90749f5d8aeea46cf903a510a029288b085dc2529895cbc1237c9a6faef440d6` |
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| `seastarreid2023/rdd-lightglue/model.safetensors` | `6e7b99d7553526bc6dea404455bb3ec2e40ab61294355a9c7123857c0d6877df` |
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| `whaleshark/loma/model.safetensors` | `756e0f3ab36ed672fe10206b3c4530305daf556b63e5b00258473662109188e9` |
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| `whaleshark/rdd-lightglue/model.safetensors` | `25490a6bf2d1dd6144584d57dadfd230d58c45f040900d1bb109d874556df4e5` |
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| `zindi/loma/model.safetensors` | `b42611b142a7a95a71d79ead8344b6ae44c7bdb24de3352e916af7477bc15032` |
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| `zindi/rdd-lightglue/model.safetensors` | `016b5874972498abcec2002197ec1fe3fc7108ed83dab80e1911f937596d9d2f` |
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| `salamander/loma/model.safetensors` | `73e0cd864190773ba1bc227fd99a3031e7bc5853098c609365c651c2f4a176a1` |
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| `salamander/rdd-lightglue/model.safetensors` | `bdf41cddbb49fdf0a3ab0259b7e57540d0892c833b93e570d29f0c9c9d76dee4` |
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| `czechlynx_closed/loma/model.safetensors` | `a7cb990e399d371886d1eb4495f3737367e7a931454bc00375985b9428e37f49` |
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| `czechlynx_closed/loma/czechlynx_protocol.json` | `1725cece94781e20101607a153d48cd45025ca7061a57746ca3cfa946dc6746d` |
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| `czechlynx_closed/rdd-lightglue/model.safetensors` | `39a255e619de26a5eac7243e47582253088d0c0734a96ad178513c90d2bc2624` |
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| `czechlynx_closed/rdd-lightglue/czechlynx_protocol.json` | `18f9f16a998f5fd68c8ebc1802e73adf2b74d4c19123c8447d8865ceaf2fe2c7` |
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| `czechlynx_open/loma/model.safetensors` | `c9d917dbefd7713e95e18025f4382ee8bbbd0670da4f0180c6e6f6465971ba22` |
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| `czechlynx_open/loma/czechlynx_protocol.json` | `f09b2f9135979fbc505838d5a7728ccf21133ebd04059e206268766086492ce6` |
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| `czechlynx_open/rdd-lightglue/model.safetensors` | `c7cc7575fd66b9b27045b23c4ccc42f454e0e8b1c0c045c84113fbe1573b7fad` |
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| `czechlynx_open/rdd-lightglue/czechlynx_protocol.json` | `eb08547f728999b33428f1d735db7caf47d711d69a3913297dd3fea9e2c1ebd0` |
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czechlynx_closed/loma/czechlynx_protocol.json
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{
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"split_column": "split-time_closed",
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"backend": "loma",
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"protocol": "legacy",
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"train_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-closed/legacy/loma/strong-matches_train_combined.json",
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"validation_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-closed/legacy/loma/strong-matches_test_combined.json",
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"final_evaluation_split": "test",
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"loma_train_component": "matcher"
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}
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{
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"split_column": "split-time_closed",
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"backend": "rdd",
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"protocol": "legacy",
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"train_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-closed/legacy/rdd/strong-matches_train_combined.json",
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"validation_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-closed/legacy/rdd/strong-matches_test_combined.json",
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"final_evaluation_split": "test",
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}
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czechlynx_closed/rdd-lightglue/model.safetensors
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czechlynx_open/loma/czechlynx_protocol.json
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"protocol": "legacy",
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"train_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-open/legacy/loma/strong-matches_train_combined.json",
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"validation_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-open/legacy/loma/strong-matches_test_combined.json",
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"final_evaluation_split": "test",
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"loma_train_component": "matcher"
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czechlynx_open/rdd-lightglue/czechlynx_protocol.json
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{
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"backend": "loma",
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"protocol": "legacy",
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"train_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-open/legacy/loma/strong-matches_train_combined.json",
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| 6 |
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"validation_index": "/home/kargin/Projects/repositories/rdd-parallel-benchmark/outputs/czechlynx-time-open/legacy/loma/strong-matches_test_combined.json",
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"final_evaluation_split": "test",
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"rdd_train_component": "lg"
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}
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