GDR-Net VS mmgeneration

Compare GDR-Net vs mmgeneration and see what are their differences.

GDR-Net

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021) (by THU-DA-6D-Pose-Group)
6d-pose-estimation detectron2 mmcv
Source Code
github.com
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mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV. (by open-mmlab)
Generative Gan Pytorch mmcv Openmmlab generative-adversarial-network diffusion-models
Source Code
mmgeneration.readthedocs.io
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GDR-Net mmgeneration
1 2
245 1,806
3.7% 1.5%
3.1 2.4
5 months ago 8 months 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.

GDR-Net

Posts with mentions or reviews of GDR-Net. We have used some of these posts to build our list of alternatives and similar projects.
  • Extending the Linemod dataset
    1 project | /r/computervision | 29 Nov 2021
    I found a model on github that I'd like to use in my project but I'm experiencing difficulties extending the linemod dataset with additional classes to adapt it to my needs. Is there a tutorial I can read somewhere on how to do it ?

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.

What are some alternatives?

When comparing GDR-Net and mmgeneration you can also consider the following projects:

labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.

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

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark

car-damage-detection - Detectron2 for car damage detection using custom dataset

mim - MIM Installs OpenMMLab Packages

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

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

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.

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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

GDR-Net vs labelCloud mmgeneration vs anomalib GDR-Net vs layout-parser mmgeneration vs mmrotate GDR-Net vs car-damage-detection mmgeneration vs mim mmgeneration vs pytorch-CycleGAN-and-pix2pix mmgeneration vs rich-text-to-image mmgeneration vs mmtracking mmgeneration vs mmdetection3d mmgeneration vs mmhuman3d mmgeneration vs ncnn