mscv - A foundational python library for computer vision research.
Project description
Introduction
MSCV is a foundational python library for computer vision research.
It provides the following functionalities.
- Image IO and processing
- Checkpoint processing
- Test time Argumentation
- Useful Meters(Avergae Meter, EMA Meter,...)
- Model structure printing
- TensorBoard Summary
NOTE: MSCV requires Python 3.6+.
Installation
For pip
pip install mscv
For source
Clone the repo, cd into it and run pip install .
command.
git clone https://github.com/misads/mscv.git
cd mscv
pip install -e .
For conda
source ~/anaconda3/bin/activate
conda activate <env>
python setup.py install
A configure file mscv.egg-info
will be generated in the repo directory. Copy mscv
and mscv.egg-info
to your site-packages
folder.
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
mscv-0.0.4.tar.gz
(11.8 kB
view details)
Built Distribution
mscv-0.0.4-py3-none-any.whl
(14.2 kB
view details)
File details
Details for the file mscv-0.0.4.tar.gz
.
File metadata
- Download URL: mscv-0.0.4.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.24.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b84a18047842d06539443017c2d95b4e6760c711d3719ef47bdd6403820811ec |
|
MD5 | a058ea101f7b656ecca6d7673534379c |
|
BLAKE2b-256 | 07bbb428c537564528730d4817e3a5bd6dc550e32bffd3c840ee6d27a0aed50d |
File details
Details for the file mscv-0.0.4-py3-none-any.whl
.
File metadata
- Download URL: mscv-0.0.4-py3-none-any.whl
- Upload date:
- Size: 14.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.24.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 69f175f778fc4adad2dec8e332b56ff1987ce078a914b63d9a38d24f7c1907f8 |
|
MD5 | 0cfecc34ab48cb2469b9d7294d09b76c |
|
BLAKE2b-256 | 7b0b6963283e14c932cfe48c451744357e67fe5cab2227e6044e04f977846779 |