Vision-Store

YOLOR Object Detection

You Only Learn One Representation (YOLOR) -Native Installation of PyTorch YOLOR for installation on both CPU and GPU.

 

YOLOR • PyTorch • OpenCV • GPU • CPU


FREE

YOLOR StreamLit Dashboard

In this tutorial we will use YOLOR with DeepSORT for object tracking and then combine it with StreamLit , so that you have an interactive Computer Vision Dashboard. 

 

 YOLOR • StreamLit • UI • Real-Time


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Face Detection

Ultrafast face detection solution that comes with 6 landmarks and multi-face support.

 

BlazeFace • Face • 70-80FPS • CPU • Landmark


FREE

Pose Estimation

BlazePose is a high-fidelity body pose solution that uses 3D landmarks & video frames to identify the whole body.

 

Pose Estimation • Landmark • 30FPS  CPU


FREE

Hand Detection

Hand-Pose is a hand & finger tracking solution that uses machine learning to identify 3D landmarks of a hand.

 

Hand Tracking • Detection • 30FPS • CPU • Landmark


FREE

YOLOv4 Object Detection

Easy Installation of TensorFlow YOLOv4 which will allow you to install on both CPU and GPU.

 

Object Detection • TensorFlow • OpenCV • CPU • GPU


FREE

Facial Landmark Detection

Easy Installation of TensorFlow YOLOv4 which will allow you to install on both CPU and GPU.

 

Face Detection • 489 Landmark • OpenCV • CPU • 30 FPS


FREE

Zoom Virtual Background

Perform image segmentation to create the Zoom Virtual Background effect.

 

Person Segmentation • OpenCV • CPU • 30 FPS


FREE

Optical Character Recognition [OCR]

Easy Installation of OCR from scratch and run in realtime using EasyOCR Framework

 

OCR • OpenCV • CPU • GPU


FREE

Facial Landmark StreamLit UI

We create a modern looking Computer Vision User Interface and Dashboard using StreamLit and MediaPipe

 

StreamLit • 489 Landmark • OpenCV • UI • 30 FPS


FREE

Blackjack YOLOR Card Counting

We trained YOLOR for 21 Card Counting, which is used for Blackjack. The logic converts the cards into integers while eliminating duplicates.

 

 YOLOR • OpenCV • Real-Time


BUY

Apple CenterStage YOLOR 

Center Stage is a feature on Apple Devices that use its ultra-wide camera, along with machine learning, to recognise a person and keep them in center view.

 

 YOLOR • OpenCV • Real-Time


BUY
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