Official YOLOv0
Implementation of paper - YOLOv0
We achieved skynet on COCO dataset
Installation
pip install roboflow-cvevals
1 maintainer
Release files for roboflow-cvevals 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| roboflow-cvevals-0.0.1.tar.gz | 1.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| roboflow_cvevals-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.0 kB
Release files / roboflow-cvevals-0.0.1.tar.gz
| Download URL | roboflow-cvevals-0.0.1.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
Release files / roboflow_cvevals-0.0.1-py3-none-any.whl
| Download URL | roboflow_cvevals-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
