Our great sponsors
| mmpose | nnUNet | |
|---|---|---|
| 31 | 11 | |
| 5,002 | 5,019 | |
| 4.8% | 6.1% | |
| 8.0 | 9.0 | |
| 4 days ago | 8 days ago | |
| Python | Python | |
| 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.
mmpose
-
RTMPose: The All-In-One Real-time Pose Estimation Solution for R&D
RTMPose-m achieves 75.8% AP on COCO with 90+ FPS on an Intel i7-11700 CPU and 430+ FPS on an NVIDIA GTX 1660 Ti GPU, and RTMPose-l achieves 67.0% AP on COCO-WholeBody with 130+ FPS.
-
MMDeploy: Deploy All the Algorithms of OpenMMLab
MMPose: OpenMMLab pose estimation toolbox and benchmark.
-
Model conversion from Pytorch to Tf using Onnx.
I downloaded pytorch2onnx.py from mmPose tools. It's big, but the top half is imports and input arguments. Line 125, I hard-coded my (image) input size. I ran it on my .pth model file, and out pop'd an onnx file.
-
Finetuning Openpose for custom dataset
They have a specific repo called mmpose: https://github.com/open-mmlab/mmpose
-
State of the art 2D body pose estimation [Discussion]
I would start with mmpose. It's basically a curated list of the best models ready to go.
-
[P] Object detection framework : Detectron2 VS MMDetection
The [MMLab key point detection](https://github.com/open-mmlab/mmpose) is in a separate repo from detection.
-
[D] Searching for open source pose estimation solution similar to open pose ?
One option is mmPose. They have a bunch of 2D/3D models implemented and support different skeleton structures.
-
Human Pose Estimation Recommendation
This library is pretty good. It has implementations for a number of pose estimators. I think Darkpose is the best one from memory
-
Human pose classification problem.
Check out https://github.com/open-mmlab/mmpose I think they have guides for new datasets
nnUNet
-
Where to even begin to extract yellow spots from these pictures?
Now just run your images and masks in nnUNet to see if it works. https://github.com/MIC-DKFZ/nnUNet
-
[D] Improvements/alternatives to U-net for medical images segmentation?
I would also try the nnU-Net which should give state-of-the-art performance, and so will give you a good idea of what's possible with the dataset that you have: https://github.com/MIC-DKFZ/nnUNet
-
Seeking ideas for Road Damage Detection
I used the nnUnet repo and their guide on using it on your own data
-
Model conversion from Pytorch to Tf using Onnx.
Hi all, Does anyone have experience with converting a nnUNet pytorch models into Tf using Onnx?
-
[D] Best practices for training medical imaging models
If you want my honest opinion, you should probably always use nnUnet as a baseline for any 3d segmentation tasks - https://github.com/MIC-DKFZ/nnUNet.
- Image segmentation: huggingface segformers vs detectronv2
- How to get started with 3D computer vision?
-
3D rcnn
Not a "detection" but a "segmenting" CNN: https://github.com/MIC-DKFZ/nnunet
-
Underwhelming performance of Tesla V100 and A100 in vast.ai, why?
I ran some model fitting performance benchmarks on a 3D (medical) image segmentation UNET on various cloud providers and I am flabbergasted by the very low performance of V100 and A100 machines on vast.ai.
- [D] Which approach is recommended for Brain 🧠Tumor Segmentation on MRI scans (DICOM Files)?
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" 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."
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
s2ds