Instructions to use HanClinto/CollectorVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CollectorVision
How to use HanClinto/CollectorVision with CollectorVision:
pip install git+https://github.com/HanClinto/CollectorVision huggingface_hub
from huggingface_hub import hf_hub_download import collector_vision as cvg checkpoint = hf_hub_download(repo_id="HanClinto/CollectorVision", filename="model.onnx") # Detector models, such as Cornelius: detector = cvg.NeuralCornerDetector(checkpoint) # Embedder models, such as Milo: embedder = cvg.NeuralEmbedder(checkpoint)
- Notebooks
- Google Colab
- Kaggle
File size: 2,940 Bytes
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"schema_version": 1,
"channels": {
"stable": {
"cornelius": "cornelius-2.12",
"fastweb-single": "fastweb-single-1.39",
"milo": "milo-1.0.0"
},
"testing": {
"cornelius": "cornelius-2.12",
"milo": "milo-1.0.0",
"fastweb-single": "fastweb-single-1.39"
}
},
"models": {
"cornelius-2.12": {
"family": "cornelius",
"version": "2.12",
"task": "corner-detection",
"architecture": "mobilevit-xxs-global-token-simcc",
"input_size": 384,
"repository": "HanClinto/cornelius",
"revision": "9280009f5a66f75f952820d9dadb894909b759b7",
"filename": "cornelius-2.12.onnx",
"sha256": "650da3cc3e9ac778c6951de631f824ec1e63bdabf3aaa39a35d7435af625612e",
"size_bytes": 4407545,
"metrics": {
"normal_test_iou": 0.968911,
"normal_test_collapse": 18,
"rotation_stress_mean_iou": 0.970411,
"rotation_stress_p10_iou": 0.954621,
"rotation_stress_bad_lt_0_5": 0,
"rotation_stress_collapse": 0
}
},
"milo-1.0.0": {
"family": "milo",
"version": "1.0.0",
"task": "card-embedding",
"architecture": "mobilevit-xxs-arcface",
"input_size": 448,
"repository": "HanClinto/milo",
"revision": "9bcc5e809e936b8c5630d1e7101aae1de1e76621",
"filename": "model.onnx",
"sha256": "bd13d8d60383c69da04dce261f32e93fdaeaa8fd618fbc991e7385f71b3d45df",
"size_bytes": 5191100
},
"fastweb-single-0.1.0": {
"family": "fastweb-single",
"version": "0.1.0",
"channel": "testing",
"codename": "corndog",
"codename_version": "2.12",
"task": "corner-detection",
"architecture": "efficientvit-b0-global-token-simcc",
"input_size": 384,
"repository": "HanClinto/ccgdetector-fastweb-single",
"revision": "13e1eb8c3b1afa1bc201e8619cf274e21a904a49",
"filename": "fastweb-single-0.1.0.onnx",
"sha256": "8acb8faba8df92cb6897c07119e68a5d6459b0fa26736e9aab547445230e7ee7",
"size_bytes": 3197383
},
"fastweb-single-1.39": {
"family": "fastweb-single",
"version": "1.39",
"channel": "stable+testing",
"codename": "corndog",
"codename_version": "1.39",
"task": "corner-detection",
"architecture": "efficientvit-b0-global-token-simcc",
"input_size": 384,
"repository": "HanClinto/ccgdetector-fastweb-single",
"revision": "898600883a02a90c51f0085f25fdecae0a6c48bf",
"filename": "fastweb-single-1.39.onnx",
"sha256": "05d2b90b928a5a3bf0f49aa90aa86211b2103d9c347c238fd18b4f544b3cb8ca",
"size_bytes": 3185226,
"metrics": {
"normal_test_iou": 0.968839,
"normal_test_collapse": 13,
"rotation_stress_mean_iou": 0.974255,
"rotation_stress_p10_iou": 0.960757,
"rotation_stress_bad_lt_0_5": 1,
"rotation_stress_collapse": 0
}
}
}
}
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