Re-implementation of YoloV3 paper in Tensorflow 1.X
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Updated
Jun 3, 2020 - Python
Re-implementation of YoloV3 paper in Tensorflow 1.X
Computer vision in under 5 lines of code.
Contains code which were very useful when dealing with COCO Dataset
DR.PHIL (Disinfecting Robot Prioritising High Interaction Locations) is an autonomous robot which can navigate a single floor, and disinfect door handles. This product was awarded 3rd place and the Robotical prize (out of 24 teams).
Experience the future of visual intelligence with Object tracking and Detection. 🚀👀 Track and identify objects in real-time for enhanced surveillance and analysis. 🔍🎯
YOLO Augmentator
A complete TensorFlow implementation of YOLOv3/4(Tiny)
It is a mask detection system which can detect the number of people wearing and number of people not wearing masks in a room through real time video feed using Ip cameras. It is a custom trained tiny yolo v3 model. The Web application is created using flask where you can provide the url of Ip cameras and start surveillance of your work place, sc…
Ugly but reasonably-working code for processing the outputs of YOLOv3 using just Numpy.
Simple script to create your own .cfg to train a Darknet YOLO model
Raspberry-pi script to capture in-store people data and send them to a server
toy scripts for training YOLO to detect vehicles for counting purposes
This repo contains the code that takes in an image encoded in base64 format and returns the bounding box predictions for hair, arms and legs
An example show how to inference yolov3 onnx model
Prototype object detection project using yolov3-tiny trained on the coco dataset
Channel pruning on YOLOv3-TINY
From an almost fully 3D printed chassis, to sign detection using Yolo, FrostAV provides a broad and multifaceted source of inspiration for your own autonomous vehicle project.
An OpenCV application that uses YOLOv3 and YOLOv3-Tiny object detection and weights trained on a custom dataset to detect firearms in a given image, video and in real-time.
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