YoloX for a bare Raspberry Pi 4 using ncnn.
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Updated
Jun 4, 2024 - C++
YoloX for a bare Raspberry Pi 4 using ncnn.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO
YoloX NPU for the RK3566/68/88
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
yolox-bytetrack-sampleのマルチクラス拡張版
YOLOX TensorRT object detection
Raspberry Pi stand-alone AI-powered camera with live feed, email notification and event-triggered cloud storage
Object Detection models trained for different tasks (i.e. face, person, etc.) with different models (i.e. nano, tiny, etc.)
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
💎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.
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
🔄 A tool for object detection and image segmentation dataset format conversion.
This repository contains the training code for my PyTorch YOLOX object detection tutorial.
Onvif library with GUI implementation and built in YOLOX
Age and Gender Estimation in Crowd Scenes
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