Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
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Updated
Nov 7, 2018 - Jupyter Notebook
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Tensorrt implementation for Yolo
Java implementation of the K-means algorithm using IOU distance metric
A mobile application to aid visually impaired students to navigate the university of Ghana campus.
Contains code which were very useful when dealing with COCO Dataset
This repo stores the draft and code used in the blog post
Use Producer + Consumer model and tensorflow do object detecion by YOLOv2 algorithm
This project uses transfer learning from a pre-trained Tiny Yolo V2 model to train a custom dataset which has 800 pictures contain rubik's cube. Darknet framework is used to training this model.
The proposed energy saving home or cabin automation system which could be used to detect the presence of a person inside the cabin and automatically adjust the state of electrical appliances to reduce power consumption. his is done by implementing the object detection YOLO algorithm on Raspberry Pi.
Tool used to generate anchor-boxes required for training YOLO networks
YOLOv2 and Tint Yolov2 implementation with custom data loader and image augmentation using pytorch.
Implementations of some interesting deep learning models.
A DL4J implementation of a YOLO v2 Chess Detector
In this repository, a tiny yolo neural network is used in real time with an android phone as main input, some modifications have been made to the tiny yolo architecture to achieve better performance.
Real Time Object Detection using YOLOv2
Implementation of yolov2 in pytorch
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