yolo-hand-detection
FastMOT
| yolo-hand-detection | FastMOT | |
|---|---|---|
| 1 | 2 | |
| 259 | 1,095 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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yolo-hand-detection
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Looking for Hand Detection pre trained model
I am looking for a hand detection (hand position on frame) pre trained model. I tried this YOLO model on github here. It is working but getting very low fps (like 2-5 fps) on VideoCapture.
FastMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
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Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
multi-object-tracker - Multi-object trackers in Python
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
fast-reid - SOTA Re-identification Methods and Toolbox
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
TFJS-object-detection - Real-time custom object detection in the browser using tensorflow.js
AirMice.Py - Control Mouse using Hand powered by Media Pipe Hand Tracking and Gesture Control for Windows 10 and above
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.