Yolov4 model with kl loss for bounding box uncertainty estimation. See https://arxiv.org/abs/1809.08545
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Release files for Yolov4-kl-demo 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Yolov4_kl_demo-0.0.2.tar.gz | 16.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Yolov4_kl_demo-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.3 kB
Release files / Yolov4_kl_demo-0.0.2.tar.gz
| Download URL | Yolov4_kl_demo-0.0.2.tar.gz |
|---|---|
| Size | 16.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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Release files / Yolov4_kl_demo-0.0.2-py3-none-any.whl
| Download URL | Yolov4_kl_demo-0.0.2-py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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