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RAM Robotics CV Workshop

A fork of opnecv_zoo

Start

Start by creating a virtual environment for python and installing the required packages.

cd path/to/cv_workshop
python -m venv env
  • For Mac
source env/bin/activate
  • For Windows
.\env\Scripts\activate

Install required packages (may need pip3)

pip install -r requirements

Then run

python yunet_cam.py

Pose Estimation

run

cd models/pose_estimation_mediapipe
python demo.py

More Resources

Face Detection with YuNet

largest selfie

Face Recognition with SFace

sface demo

Facial Expression Recognition with Progressive Teacher

fer demo

Human Segmentation with PP-HumanSeg

messi

Image Segmentation with EfficientSAM

sam_present

License Plate Detection with LPD_YuNet

license plate detection

Object Detection with NanoDet & YOLOX

nanodet demo

yolox demo

Object Tracking with VitTrack

webcam demo

Palm Detection with MP-PalmDet

palm det

Hand Pose Estimation with MP-HandPose

handpose estimation

Person Detection with MP-PersonDet

person det

Pose Estimation with MP-Pose

pose_estimation

QR Code Detection and Parsing with WeChatQRCode

qrcode

Chinese Text detection PPOCR-Det

mask

English Text detection PPOCR-Det

gsoc

Text Detection with CRNN

crnn_demo

License

OpenCV Zoo is licensed under the Apache 2.0 license. Please refer to licenses of different models.

About

Fork of Model Zoo For OpenCV DNN and Benchmarks.

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  • Python 49.5%
  • C++ 49.2%
  • CMake 1.3%