mmgeneration VS mmdetection3d

Compare mmgeneration vs mmdetection3d and see what are their differences.

mmgeneration

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

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection. (by open-mmlab)
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mmgeneration mmdetection3d
2 3
1,796 4,790
2.9% 4.6%
2.4 7.7
8 months ago 5 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.

mmdetection3d

Posts with mentions or reviews of mmdetection3d. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

What are some alternatives?

When comparing mmgeneration and mmdetection3d you can also consider the following projects:

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

mmdetection - OpenMMLab Detection Toolbox and Benchmark

mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

mim - MIM Installs OpenMMLab Packages

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

rich-text-to-image - Rich-Text-to-Image Generation

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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.

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code