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

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

Face Detection
Ultrafast face detection solution that comes with 6 landmarks and multi-face support.
BlazeFace • Face • 70-80FPS • CPU • Landmark

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

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

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

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

Zoom Virtual Background
Perform image segmentation to create the Zoom Virtual Background effect.
Person Segmentation • OpenCV • CPU • 30 FPS

Optical Character Recognition [OCR]
Easy Installation of OCR from scratch and run in realtime using EasyOCR Framework
OCR • OpenCV • CPU • GPU

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

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

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