mmgeneration VS mmcv

Compare mmgeneration vs mmcv and see what are their differences.

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV. (by open-mmlab)

mmcv

OpenMMLab Computer Vision Foundation (by open-mmlab)
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mmgeneration mmcv
2 4
1,775 5,543
2.5% 1.8%
2.4 7.8
7 months ago 4 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

mmgeneration

Posts with mentions or reviews of mmgeneration. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

mmcv

Posts with mentions or reviews of mmcv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.
  • MMDeploy: Deploy All the Algorithms of OpenMMLab
    22 projects | /r/u_Allent_pjlab | 21 Nov 2022
    MMCV: OpenMMLab foundational library for computer vision.
  • An elegant and strong PyTorch Trainer
    7 projects | /r/u_serend1p1ty-lee | 1 Jul 2022
    I opened source some works (AAAI 21 SeqNet, ICCV 21 MAED, etc) and earned more than 500 stars. After referring to some popular projects (detectron2, pytorch-image-models, and mmcv), based on my personal development experience, I developed a SIMPLE enough, GENERIC enough, and STRONG enough PyTorch Trainer: core-pytorch-utils, also named CPU. CPU covers most details in the process of training a deep neural network, including:
  • Why do practitioners still use regular tensorflow? [D]
    3 projects | /r/MachineLearning | 17 Apr 2021
    Pretty much any custom layer, loss, ops, etc. For some of the most common ones used for objection detection, see here, examples include rotated iou/nms, deformable convolutions, focal loss variants, sync batch norm, etc.

What are some alternatives?

When comparing mmgeneration and mmcv you can also consider the following projects:

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark

aiqc - End-to-end deep learning on your desktop or server.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox