Skip to main content

To the moon!

Project description

Official YOLOv0

Implementation of paper - YOLOv0

We achieved skynet on COCO dataset

Installation

pip install roboflow-computer-vision-evuation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

File details

Details for the file roboflow-computer-vision-evuation-0.0.1.tar.gz.

File metadata

File hashes

Hashes for roboflow-computer-vision-evuation-0.0.1.tar.gz
Algorithm Hash digest
SHA256 54bcfe6f48d5a258966538d6c56b2105708c6d48eddcd589e8d50db301148e2c
MD5 f78117a8dd7ef78fd2293e2c4a0862f6
BLAKE2b-256 9b77f932c6f03fd8eb2603d2058b2f03bfe0dae5eed68937959c21f5c3a5edbc

See more details on using hashes here.

File details

Details for the file roboflow_computer_vision_evuation-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for roboflow_computer_vision_evuation-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 763376dea075e7d03af2ca7126b3fc794e8da9e6a5461cc83080bfc17d034319
MD5 0284bea76c5f288daf39b301ac063691
BLAKE2b-256 63cb7bba699f6de67f8c2ed37715341274324ba485b0dfed5a7f8bb7b9362655

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page