Land-Maze/License_Reader_YoloV5

License Reader with YoloV5 weight pre-trained by myself

Install guide

1. Project install

2. PyTorch install Mac M1

Usage guide

1. How to run server

2. API documentation

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How to install project

git clone https://github.com/Land-Maze/License_Reader_YoloV5
cd ./License_Reader_YoloV5
# If user doesn't have write permission use sudo
sh install.sh

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How to install torch on Mac M1

Install brew and dependency

# Follow prompts if there will be
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew install wget

# If xcode tools not installed
xcode-select --install

Install miniconda

# Create and download script for miniconda install
mkdir tmp || echo "Can't create directory tmp. If directory exists, simply ignore"
cd tmp
wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-MacOSX-arm64.sh -O miniconda.install.sh

# Checking of hash sum
test "$( shasum -a 256 miniconda.install.sh )" != "4bd112168cc33f8a4a60d3ef7e72b52a85972d588cd065be803eb21d73b625ef  miniconda.install.sh"
if (( $? == 1 ))
then
  echo "Checksum is OK"
else
  echo "Checksum is BAD. Exiting"
  return
fi

# Install proccess
# It may ask for agreement
sh miniconda.install.sh -p $HOME/miniconda

Conda configuration

# Creating conda enviroment
conda create -n torch python=3.9

# Activating conda source
conda activate torch

# Installing deps
conda install pytorch torchvision torchaudio -c pytorch-nightly

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How to run server

# In root folder
sudo python manage.py runserver 3000 --noreload

API docs

UNDER CONSTRUCT