NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
Jul 16, 2024 - Python
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
Deploy various ML models over the cloud or on the edge
Distributed Object Detection on Edge Devices using tinyML⚡
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
This GitHub repository hosts an Edge AI solution for college campuses, emphasizing vehicle management with detailed movement analysis, optimized parking, and enhanced security measures such as vehicle counting and number plate detection for vehicle authorization and monitoring.
YOLO telegram bot for object detection and instance segmentation, implemented in Python + OpenCV + ONNXRuntime
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Parking Scan is a Python application built with Tkinter and Custom Tkinter for managing and visualizing parking lot data. It features an easy login system, real-time parking lot status visualization, and a user-friendly interface.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
Sliced Detection and Clustering Analysis Toolkit
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOv8, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
🚀 TensorRT-YOLO: Supports YOLOv3, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, and PP-YOLOE using TensorRT acceleration with EfficientNMS, CUDA Kernels and CUDA Graphs!
💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
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