yolo3+ocr

Real-time portrait segmentation for mobile devices

An implementation of MTCNN Face detector using OpenCV's DNN module

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Yolo With OpenCvSharp Dnn

Realtime Face detection demo using YOLO v2 and OpenCV DNN module

.NET Standard library for classifying pornographic images.

Super fast face detection on Raspberry Pi 4

Serverless removal of images backgrounds with OpenCV, using an AWS Lambda.

ofxOpenCvDnnOpenPose is an addon for openframeworks.

This is a simple test using OpenCv DNN module load SSD model running in different language, compare their running speed.

Sample code of testing functions of OpenCV with CUDA-enabled DNN modules.

Detect three class of nuts kept in a colored tray under variable lighting and variable tray pose and distances from a video.

About object detection(mobileNet-ssd) tensorflow/language:c++

First try with VGG-Face CNN descriptor using OpenCV DNN Module

Serverless Object Detection using OpenCV on AWS Lambda. Compare AWS Rekognition, OpenCV DNN, and OpenCV Haar Cascades image results directly.

Some test code about using CNTK framework's evaluate performance, compare with OpenCV DNN module using caffe model.

This is example of using OpenCV dnn for YOLOV3 and pytessoract for car license

Implementation of object detection as pip package

Yolov3 detector based on OpenCV DNN module

Face Detection, Recognition and Verification using OpenCV and One-shot-training based FaceNet.

Taken from https://answers.opencv.org/answers/191837/revisions/

OpenCV tutorials with python

A python script for cropping faces from large set of images or from videos