LeonLok/Multi-Camera-Live-Object-Tracking
quality grade D, 37 out of 100Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
:bamboo: Spots is a cross-platform view controller framework for building component-based UIs
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
Training and Detecting Objects with YOLO3
Implementation of "YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception".
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
🛡️ A list of all profile badges and how to obtain each one 🛡️
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Base on YOLOv5 Head Person Helmet Detection on Construction Sites,基于目标检测工地安全帽和禁入危险区域识别系统,🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
A PyTorch implementation of the YOLO v3 object detection algorithm
Single Shot MultiBox Detector in TensorFlow
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
OpenMMLab Detection Toolbox and Benchmark
Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.
A python implementation of BRISQUE Image Quality Assessment
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.
24,522 repositories in the index in total.