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.
1 maintainer
Metadata
1 maintainer
Release files for mscv 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mscv-0.0.4.tar.gz | 11.8 kB | Without provenance | Details for mscv-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mscv-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for mscv-0.0.4-py3-none-any.whl |
Total release size: 26.0 kB
Release files / mscv-0.0.4.tar.gz
| Download URL | mscv-0.0.4.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / mscv-0.0.4-py3-none-any.whl
| Download URL | mscv-0.0.4-py3-none-any.whl |
|---|---|
| Size | 14.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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
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Security for mscv 0.0.4
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