A Python package for computer vision experiments and research.
Project description
Multi-Models for Images in pyTorch (MMIT)
Why mmit?
mmit is a library that provides building blocks for Computer Vision models. Heavily inspired by SMP, we aim at providing a unified interface for all encoder and decoders, so that any composition is plug and play. It is designed to be flexible in order to support rapid implementation and evaluation of novel research. It is also designed to be fast, modular, and extensible. mmit is built on top of PyTorch.
To Do List
In the future, we plan to add support for:
- timm encoders
- some of timm transformers encoders
- torchvision / torchub models
- UNet and UNet++ decoders
- other decoders
- multiple heads
- popular loss function
- popular datasets
- popular metrics
Awesome Sources
Project details
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
mmit-0.0.4.tar.gz
(13.3 kB
view details)
Built Distribution
mmit-0.0.4-py3-none-any.whl
(12.0 kB
view details)
File details
Details for the file mmit-0.0.4.tar.gz
.
File metadata
- Download URL: mmit-0.0.4.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d53511893de719ebab85a79d414d298e54f6887376602e5d9ae436d7506d5ce |
|
MD5 | d62abce3de5a12c2066049ef0078d670 |
|
BLAKE2b-256 | 135cbb2d38b4444e68cc3fd828eb36221b90e96737275c35863519c1997fdc82 |
File details
Details for the file mmit-0.0.4-py3-none-any.whl
.
File metadata
- Download URL: mmit-0.0.4-py3-none-any.whl
- Upload date:
- Size: 12.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bfbcceea85df4b061de64bb6e3edb0fb730a32e26ef6c4ccc712276f8b71d71 |
|
MD5 | 20009e254efafcd50d330cac2d0e4764 |
|
BLAKE2b-256 | 959e0188e44f088065ea78b41c7e61d04afa41440adbde625f6b30770deab362 |