Laser for control mosquito, weed, and pest
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Updated
Apr 22, 2024 - Python
Laser for control mosquito, weed, and pest
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Aug Tool is a Python library available on PyPI that simplifies image data augmentation for machine learning tasks, compatible with TensorFlow, PyTorch, and the YOLO library.
Docker images for Python with Darknet (https://github.com/AlexeyAB/darknet)
Telegram bot, which detects face masks on images
This project analyze real time CCTV images with Convolutional Neural Networks.
Real time intrusion detector is an application tracks movement and objects that are visible in a video feed. If these detected items are listed as contraband, it notifies the user through visual outline and sends a message to the user.
Simple script to create your own .cfg to train a Darknet YOLO model
Converts Darknet YOLO models to PyTorch/ONNX
Full_Loop_YOLO.py is a wrapper for creating custom YoloV7, darknet YoloV4-tiny &; regular sized Yolov4 models on your custom datasets.
Waste Management based project, uses a fast real-time object detector to classify and localize objects present in a live feed through a webcam, which will help in segregation. It can also be used in autonomous surveillance during ban.
Video recording and image analysis of fishes to automate and increase the efficiency of fish phenotyping, and bolster posterior analysis to improve farm production and management.
To detect Number Plates from an image.
Detecta o fluxo de veículos e pedestres nas vias. Os dados alimentam um sistema que ajusta os tempos semafóricos conforme a quantidade de veículos registrada na via, dando mais fluidez ao trânsito.
The project aims at developing a face mask and social distancing detector.
A simple demonstration of vehicle detection and classification using YOLOv3.
뭐먹었지도 - food detector (using YOLOv3)
Create visualisation to Yolo dataset.
Add a description, image, and links to the darknet-yolo topic page so that developers can more easily learn about it.
To associate your repository with the darknet-yolo topic, visit your repo's landing page and select "manage topics."