trt_pose
yolo_tracking
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| trt_pose | yolo_tracking | |
|---|---|---|
| 3 | 8 | |
| 921 | 6,110 | |
| 0.0% | - | |
| 0.0 | 9.9 | |
| over 1 year ago | 5 days ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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.
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.
yolo_tracking
- FLiPN-FLaNK Stack Weekly for 17 April 2023
- Person head count
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[P] Vehicle detection with pytorch
You can use YOLOv5 with the StrongSORT. We have been using it for human detection and tracking. It works really well and YOLOv5 in general really easy to use and implement out of the box. here is the repo that we are using.
- ID Swap issue in multi-object tracking.
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tracking-by-detection, multiple object tracking algorithm
Try looking into DeepSort, which uses a deep association metric in addition to the traditional SORT algorithm to kind of improve upon the ID reassignment issue. However, I suspect you would have to come up with your own re-id model since you have a unique object you're trying to detect. Here's the paper . I've had decent results using https://github.com/mikel-brostrom/Yolov5_DeepSort_OSNet as an out of the box implementation for coco object. It's written in PyTorch.
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Object tracking in videos?
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch I see this combination mentioned a decent amount
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Deepsort stuck in tentative
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch/blob/master/deep_sort_pytorch/deep_sort/sort/tracker.py.
What are some alternatives?
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
yolact - A simple, fully convolutional model for real-time instance segmentation.
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."
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
torch2trt - An easy to use PyTorch to TensorRT converter
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Real-time-GesRec - Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
CSI-Camera - Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite