florvela / YOLO-Training-Optimization-Pose-Estimation-and-Tracking
This repository contains the code for training YOLOv5, YOLOv7, and YOLOv8 models for object detection using Python 3. Optimization of models with OpenVINO and Apache TVM, and tracking with ByteTrack and yolov8-pose.
☆29Updated last year
Alternatives and similar repositories for YOLO-Training-Optimization-Pose-Estimation-and-Tracking
Users that are interested in YOLO-Training-Optimization-Pose-Estimation-and-Tracking are comparing it to the libraries listed below
Sorting:
- Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'☆96Updated last year
- Multiple camera devices person tracking (MCDPT)☆23Updated 2 years ago
- Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose☆62Updated last year
- ☆15Updated last year
- Quantization Aware Training☆73Updated last year
- SFSORT: Scene Features-based Simple Online Real-Time Tracker☆54Updated 4 months ago
- ☆15Updated last year
- AICUP 2024 Cross-camera Multiple-object tracking☆25Updated 6 months ago
- ☆53Updated 3 years ago
- ☆15Updated 2 years ago
- YOLOV7 Face Detection☆21Updated 2 years ago
- ByteTrack implementation for person tracking using PyTorch☆32Updated 2 years ago
- YOLOv7 training. Generates a head-only dataset in YOLO format. The labels included in the CrowdHuman dataset are Head and FullBody, but i…☆29Updated 11 months ago
- A C++ implementation for UCMCTrack (SOTA in MOT17)☆19Updated last year
- This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes☆62Updated 11 months ago
- ☆52Updated 2 years ago
- 支持yolov8 Reid行人重识别,支持训练和检测☆13Updated last year
- Deepstream app use retinaface and arcface for face recognition.☆65Updated 7 months ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆107Updated 3 weeks ago
- ☆14Updated 3 years ago
- ByteTrack with ReID module following the paradigm of FairMOT, tracking strategy is borrowed from FairMOT/JDE.☆119Updated last year
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models☆62Updated last year
- Official repository of the 1st place solution for the 7th NVIDIA AI City Challenge (2023) Track 1: Multi-Camera People Tracking☆79Updated last year
- ☆22Updated 2 years ago
- YOLOv8 re-implementation for human detection using PyTorch☆105Updated last year
- A multi object tracking Library Based on tensorrt☆54Updated 3 years ago
- Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.☆43Updated 2 years ago
- AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking☆23Updated 2 weeks ago
- C++ application to perform computer vision tasks using Nvidia Triton Server for model inference☆23Updated last month
- yolov8-prune☆19Updated last year