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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
单缺口/多缺口滑块验证码识别，pip安装使用, 可本地/服务器部署API
YOLOv3 implementation in TensorFlow 2.3.1
Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826 https://x.com/githubprojects/status/1891370506537910724 https://www.threads.net/@githubprojects/post/DGKdoE4zdUX
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
Train a state-of-the-art yolov3 object detector from scratch!
Real-time object detection on Android using the YOLO network with TensorFlow
GUI for marking bounded boxes of objects in images for training neural network YOLO
YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
OpenCV+YOLO+LLAVA powered video surveillance system
Darknet/YOLO object detection framework
A caffe implementation of MobileNet-YOLO detection network
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Label images and video for Computer Vision applications
High level network definitions with pre-trained weights in TensorFlow
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...
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 Superseded by convert_coco() in the Ultralytics package.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
24,544 repositories in the index in total.
