trt_pose
lightweight-human-pose-estimation.pytorch
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| trt_pose | lightweight-human-pose-estimation.pytorch | |
|---|---|---|
| 3 | 2 | |
| 921 | 2,021 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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trt_pose
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[P] Football Player 3D Pose Estimation using YOLOv7
You can try trt_pose rather than YOLO. It's super fast. I am also doing 3D pose estimation, and with trt_pose I get the 2D at more than 100fps. https://github.com/NVIDIA-AI-IOT/trt_pose
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How to setup gesture recognition on the Nano?
I just followed the setup instructions for TRT_pose and then TRT_pose_hand and it was working great for me! You will need to follow these steps first to get TRT_pose on your device.
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How to use the Nano and openpose to detect the humans bodies inside footages for removing the colors that don't belong to them
I think you are looking for trt_pose, available here: https://github.com/NVIDIA-AI-IOT/trt_pose. I think this is the best library for real time pose tracking for the nano.
lightweight-human-pose-estimation.pytorch
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Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
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How do I properly dissect a Github repo of a ML model?
Using https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch as an example (or another repo, that was just one I found), could someone please give me a step by step process of how they read a repo for a research paper?
What are some alternatives?
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
torch2trt - An easy to use PyTorch to TensorRT converter
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Real-time-GesRec - Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
CSI-Camera - Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.