mmyolo
mmagic
mmyolo | mmagic | |
---|---|---|
1 | 5 | |
2,708 | 6,588 | |
3.2% | 1.1% | |
4.5 | 8.7 | |
3 days ago | about 2 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mmyolo
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
MMYOLO: OpenMMLab YOLO series toolbox and benchmark
mmagic
- More than Editing, Unlock the Magic!
-
MMEditing v1.0.0rc4 has been released (including Disco-Diffusion)
Join us to make it better! Try at https://github.com/open-mmlab/mmediting/tree/1.x
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
MMEditing: OpenMMLab image and video editing toolbox.
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
hcaptcha-challenger - 🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".