Vision architectures
Project description
This repository contains implementations of various architectures used in Computer Vision.
Most implementations that are provided alongside research papers are with keeping 2D natural images in mind. However, there are many use cases where the same architectures are desired for a 3D space, for eg. in medical imaging, video games, environment reconstruction etc. For this reason, most (but not all) of the architectures in this repository are 3D implementations of popular research papers.
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
vision_architectures-0.5.tar.gz
(51.1 kB
view details)
Built Distribution
File details
Details for the file vision_architectures-0.5.tar.gz.
File metadata
- Download URL: vision_architectures-0.5.tar.gz
- Upload date:
- Size: 51.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 011ea87daaabbf62cbbd8f2069c609251de16ba1586a2c8a667ab9e92700d47e |
|
| MD5 | 16241a369db41f75d08cbafa12369d82 |
|
| BLAKE2b-256 | 3d1e82bb424b6d18050017ddaa342cf95b57ad6fcb98019d3349f33172d35dda |
File details
Details for the file vision_architectures-0.5-py3-none-any.whl.
File metadata
- Download URL: vision_architectures-0.5-py3-none-any.whl
- Upload date:
- Size: 63.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b6e374b511cccf8f277e017f31540b9447e75227cbab4ace22ca2d72df87b0b7 |
|
| MD5 | 28ec89d1c9050206fd2d0569428e49b5 |
|
| BLAKE2b-256 | d574d257712d2bfc14bb7f826f53d5073145a3c02cc89e1f7f1224e9d453ae6b |
