GitHub - rifat963/yolov3-wrapper-for-custom-data

Simple YOLOv3 wrapper for Dhaka-ai challenge 2020

This repository is based on YOLOv3 implementation from Ultralytics

Here we simply add all the required configuration files to quickly initiate training and inference.

Specifically, all the configuration files are targeting dataset for dhaka-ai competition.

More details training and inference is presented in this colab notebook

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
cfg		cfg
data		data
utils		utils
weights		weights
.dockerignore		.dockerignore
.gitignore		.gitignore
Dockerfile		Dockerfile
Image.png		Image.png
LICENSE		LICENSE
README.md		README.md
detect.py		detect.py
models.py		models.py
requirements.txt		requirements.txt
test.py		test.py
test.txt		test.txt
traffic.data		traffic.data
traffic.names		traffic.names
train.py		train.py
train.txt		train.txt
tutorial.ipynb		tutorial.ipynb
valid.txt		valid.txt