mesutpiskin/id-card-detector
quality grade C, 54 out of 100:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
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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
: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)
A real-time computer vision system for low-latency visual target detection and tracking, powered by YOLOv5.
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
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)
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
A Python wrapper on Darknet. Compatible with YOLO V3.
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
YOLO SHOW - YOLOv11 / YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR / SAM / MobileSAM / FastSAM YOLO GUI based on Pyside6
RectLabel is an offline image annotation tool for object detection and segmentation.
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
24,544 repositories in the index in total.