YOLOv4 detection on COCO dataset using OpenCV DNN module, compiled with CUDA.
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Updated
Mar 1, 2022 - Python
YOLOv4 detection on COCO dataset using OpenCV DNN module, compiled with CUDA.
OpenCV tutorials with python
This is example of using OpenCV dnn for YOLOV3 and pytessoract for car license
Face Detection, Recognition and Verification using OpenCV and One-shot-training based FaceNet.
A python script for cropping faces from large set of images or from videos
Text recognition with Pytorch(CRNN). Provided Onnx model.
Detect three class of nuts kept in a colored tray under variable lighting and variable tray pose and distances from a video using FR-CNN.
Deploy YOLOv5 Segmentation on ONNXRUNTIME or OpenCV DNN [WITHOUT PYTORCH]
Realtime Face detection demo using YOLO v2 and OpenCV DNN module
使用OpenCV部署YOLOV3检测二维码,包含C++和Python两种版本的程序,仅仅只依赖opencv库就能运行
Computer Vision Guide
使用OpenCV部署FastestDet,包含C++和Python两种版本的程序。模型文件不超过1M
yolov5检测人脸和关键点,只依赖opencv库就可以运行,程序包含C++和Python两个版本的
使用OpenCV部署yolov5-pose目标检测+人体姿态估计,包含C++和Python两个版本的程序。支持yolov5s,yolov5m,yolov5l
用opencv的dnn模块做yolov5目标检测,包含C++和Python两个版本的程序,优化后的
使用OpenCV部署yolov8检测人脸和关键点以及人脸质量评价,包含C++和Python两个版本的程序,只依赖opencv库就可以运行,彻底摆脱对任何深度学习框架的依赖。
分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序
使用深度学习算法实现虚拟试衣镜,结合了人体姿态估计、人体分割、几何匹配和GAN,四种模型。仅仅只依赖opencv库就能运行
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