Overview

Links to the documentation

Introduction

This project is for users to quickly deployed their object detection application. The backend used Google Cloud Vision API for object detection. The release now can only used the built in object detection trained by Google. In the future release, we will add Google AutoML to fulfill costumed needs.

Classes

The library contain two classes for use:

• Detection
  Get the images with bounding boxes on it.

• Interface
  This class supports the GUI interface for the detection images and allows user to upload images to Google Cloud Storage.

Installation

Before install the package, we highly recommend to build the virtual env. There are lots of tools user can choose. Below, we demonstrate how to use in conda environment.

conda create -n <name-of-env> python=3.8
conda activate <name-of-env>

• PyPI

  pip install GCDetection
  

• Build from source

  git clone https://github.com/Justin900429/GC-Detection.git
  cd GC-Detection
  pip install -e .
  

Usage

This page show the detail of using the GC_Detection package. GO from here.

Example Code

The example code was upload to the github directory, please visit here.