imagezmq
YOLO-Mosaic
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imagezmq | YOLO-Mosaic | |
---|---|---|
1 | 1 | |
991 | 7 | |
- | - | |
4.6 | 0.0 | |
6 months ago | about 3 years ago | |
Python | Python | |
MIT License | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imagezmq
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How to send live footage to the cloud and client interface?
Hey, I stumbled upon this library https://github.com/jeffbass/imagezmq. Looks perfect for my use case. Have you guys heard about it and what do you think about it?
YOLO-Mosaic
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Mosaic Image Augmentation for YOLO data
You can find my code here and I hope people find it useful. Cheers!
What are some alternatives?
imagehub - Receive and save images from multiple Raspberry Pi's
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
imgaug - Image augmentation for machine learning experiments.
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
lane-detection-opencv - This is for detecting any lane in the road to identify the road map
imagenode - Capture and Selectively Send Images and Sensor Data; detect Motion; detect Light
hcaptcha-challenger - 🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
Ai_Demos_RPi - Example code for using different Raspberry Pi boards with various electronic and mechanical components.