visionify.ai's repositories
visionai-scenarios
All publicly available scenarios for VisionAI toolkit
azure-ml-to-yolov5
Convert Azure ML exported dataset to Yolov5 Training format.
docker-nvidia-pytorch-opencv-ffmpeg
Dockerfile supporting NVIDIA CUDA 11 + Pytorch + OpenCV with Gstreamer & FFMPEG compiled in
google-drive-upload
Upload files/folders to google drive easily with Python.
jetson-setup-scripts
Setup scripts for different Jetpack environments
yolov8_tracking
Real-time multi-object tracking and segmentation using YOLOv8
azure-files-upload
Upload any files/folders to Azure Storage Containers.
Language:PythonMIT000
license-plate-detection
License plate detection and tracking
Language:PythonMIT000
visionai-1
VisionAI library
GPL-3.0000
MIT000
bandwidth-usage
Utility repo to calculate and report the bandwidth, CPU, Memory usage over a period of time
Language:PythonMIT000
flask-socketio-video-streamer
Socketio Flask based live video stream server
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opencv-livestream
Client & Server code for streaming from devices using Python OpenCV to a Server.
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video-to-images
Script that converts a video to images.
Language:PythonMIT000