miemie2013/miemiedetection
quality grade F, 32 out of 100Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.
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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
Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.
Unified learning approach for egocentric hand gesture recognition and fingertip detection.
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例
Echo: A desk mate can talk to you, translate, monitor PC , make memos. It even have AI camera.
Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask
Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)
👺 基于Yolov5的Apex Legend游戏 AI 辅瞄外挂
The best AI Aimbot for Fortnite, Valorant, CS2, R6, COD, Apex, EVERYTHING (Good PC Recommended)
Real-time multi-camera multi-object tracker using YOLO varients
YOLOv5 object detection with C#, ML.NET, ONNX
reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5,YOLOv3, etc.
Vehicle detection using YOLO in Keras runs at 21FPS
VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision
YOLO ModelCompression MultidatasetTraining
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
yolov4 42.0% mAP.ppyolo 45.1% mAP.
Detect fire in images using neural nets
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
dddmr_navigation is the 3D navigation solution for mobile robots includes mapping/localization/perception/path planning/controller/navigation stack
People detection and optional tracking with Tensorflow backend.
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
24,522 repositories in the index in total.