Computer Vision Models Deployment
Project description
CVMD
A Computer Vision Model Development toolkit.
cvmd uses NumPy arrays as both input and output.
Installation
pip install cvmd
dev
uv sync --dev
Release history Release notifications | RSS feed
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cvmd-0.1.0.post202512312323.tar.gz.
File metadata
- Download URL: cvmd-0.1.0.post202512312323.tar.gz
- Upload date:
- Size: 21.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4a60774323dde87d1897013ec3526b94f839230fee9283be2685a8e71b67a12a
|
|
| MD5 |
096aa94022b988c5a1a8eaa120453362
|
|
| BLAKE2b-256 |
63439f516c940ab72dd8d1b76980d964cb169f698085ca9ab0efe0646de9f0ff
|
File details
Details for the file cvmd-0.1.0.post202512312323-py3-none-any.whl.
File metadata
- Download URL: cvmd-0.1.0.post202512312323-py3-none-any.whl
- Upload date:
- Size: 22.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
358d65613c25bb66bcf87af38e8cca62240a78db61524da4cd94dc82bca49bcd
|
|
| MD5 |
d56fd4258b5a416f191bc9def2c742aa
|
|
| BLAKE2b-256 |
898153727476ff62e5a06283b32b055e5e420cf57e57b59badb4b9fd6697013d
|
