| visual-layer/fastdup |
1,313 |
|
0 |
0 |
about 2 years 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/DLTK |
1,293 |
|
0 |
0 |
about 4 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Deep Learning Toolkit for Medical Image Analysis |
| NifTK/NiftyNet |
1,170 |
|
0 |
0 |
almost 6 years ago |
0 |
|
98 |
apache-2.0 |
Python |
| [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy |
| MedMNIST/MedMNIST |
903 |
|
0 |
0 |
about 2 years ago |
7 |
August 17, 2023 |
1 |
apache-2.0 |
Python |
| [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification |
| Dana-Farber-AIOS/pathml |
341 |
|
0 |
0 |
about 2 years ago |
15 |
May 30, 2023 |
56 |
gpl-2.0 |
Python |
| Tools for computational pathology |
| tomas-gajarsky/facetorch |
313 |
|
0 |
0 |
over 2 years ago |
21 |
December 10, 2023 |
11 |
apache-2.0 |
Python |
| Python library for analysing faces using PyTorch |
| ocampor/image-quality |
312 |
|
0 |
2 |
about 3 years ago |
17 |
February 15, 2021 |
16 |
apache-2.0 |
Python |
| Image quality is an open source software library for Image Quality Assessment (IQA). |
| TissueImageAnalytics/tiatoolbox |
277 |
|
0 |
1 |
about 2 years ago |
23 |
July 25, 2023 |
21 |
other |
Python |
| Computational Pathology Toolbox developed by TIA Centre, University of Warwick. |
| aws-samples/amazon-rekognition-video-analyzer |
254 |
|
0 |
0 |
almost 6 years ago |
0 |
|
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. |
| milaan9/Python_Computer_Vision_from_Scratch |
219 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
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. |
