mim VS mmdetection3d

Compare mim vs mmdetection3d and see what are their differences.

mim

MIM Installs OpenMMLab Packages (by open-mmlab)

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection. (by open-mmlab)
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mim mmdetection3d
1 3
329 4,834
1.2% 2.2%
5.6 7.1
5 months ago 15 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.

mim

Posts with mentions or reviews of mim. 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 mim and mmdetection3d you can also consider the following projects:

mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

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.

mmcv - OpenMMLab Computer Vision Foundation

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

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

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark

autogluon - Fast and Accurate ML in 3 Lines of Code