mim
mmagic
mim | mmagic | |
---|---|---|
1 | 5 | |
329 | 6,602 | |
1.2% | 1.3% | |
5.6 | 8.7 | |
6 months ago | about 2 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | 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.
mim
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MIM: MIM installs OpenMMLab packages.
mmagic
- More than Editing, Unlock the Magic!
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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
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMEditing: OpenMMLab image and video editing toolbox.
What are some alternatives?
mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
mmcv - OpenMMLab Computer Vision Foundation
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".