AdelaiDet
mmpose
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| AdelaiDet | mmpose | |
|---|---|---|
| 4 | 31 | |
| 3,324 | 5,002 | |
| 0.8% | 4.8% | |
| 6.5 | 8.0 | |
| about 2 months ago | 2 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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AdelaiDet
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FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow
- Instance segmentation
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[P] Object detection framework : Detectron2 VS MMDetection
There are also some nice methods built on Detectron2 in [AdelaiDet](https://github.com/aim-uofa/AdelaiDet).
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how to recognize digits from this pics(i have many of them) so kindly suggest generic that can work for other similar images. I have searched alot for the source code on github but not found the correct solution. most of these solutions were incorrect while other were incomplete. Kindly help me :(
ABCNet
mmpose
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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.
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMPose: OpenMMLab pose estimation toolbox and benchmark.
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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.
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Finetuning Openpose for custom dataset
They have a specific repo called mmpose: https://github.com/open-mmlab/mmpose
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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.
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[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.
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[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.
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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
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Human pose classification problem.
Check out https://github.com/open-mmlab/mmpose I think they have guides for new datasets
What are some alternatives?
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
TextRecognitionDataGenerator - A synthetic data generator for text recognition
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
gym_solo - A custom open ai gym environment for solo experimentation.
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark