Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Fastdup | 1,313 | 4 months ago | 284 | December 01, 2023 | 23 | other | Python | |||
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. | ||||||||||
Dltk | 1,293 | 2 years ago | 11 | apache-2.0 | Python | |||||
Deep Learning Toolkit for Medical Image Analysis | ||||||||||
Niftynet | 1,170 | 4 years ago | 98 | apache-2.0 | Python | |||||
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy | ||||||||||
Medmnist | 903 | 4 months ago | 7 | August 17, 2023 | 1 | apache-2.0 | Python | |||
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification | ||||||||||
Pathml | 341 | 4 months ago | 15 | May 30, 2023 | 56 | gpl-2.0 | Python | |||
Tools for computational pathology | ||||||||||
Facetorch | 313 | 5 months ago | 21 | December 10, 2023 | 11 | apache-2.0 | Python | |||
Python library for analysing faces using PyTorch | ||||||||||
Image Quality | 312 | 2 | a year ago | 17 | February 15, 2021 | 16 | apache-2.0 | Python | ||
Image quality is an open source software library for Image Quality Assessment (IQA). | ||||||||||
Tiatoolbox | 277 | 1 | 4 months ago | 23 | July 25, 2023 | 21 | other | Python | ||
Computational Pathology Toolbox developed by TIA Centre, University of Warwick. | ||||||||||
Amazon Rekognition Video Analyzer | 254 | 4 years ago | 26 | other | JavaScript | |||||
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list. | ||||||||||
Python_computer_vision_from_scratch | 219 | a year ago | mit | Jupyter Notebook | ||||||
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. |