Although there are lots of object detection applications, most of the applications are hard to deploy. In our project, we aim at creating a simple application that users can easily do the object detection jobs. In one of our demonstration, we used drone to find out where the balls were and saved the images on Google Cloud. This demonstration is a simple version of doing search and rescue. Namely, ball can be replaced with real people. This demonstration shows the value of our project.
There are three main objectives of our project.
- Make object detection easier.
- Used in the field of search and rescue.
- Do the crowd counting.
- Red region Show the image which the camera captured and draw the bounding boxes of the certain objects
- Orange region Press this button to capture the image and save image to certain root(Google Cloud or local)
- Green region Show which categories display in the red region
- Blue region Press this button to leave the GUI
Note: Although GC Detection is open source, using Google Cloud Vision API is not free. For more information, please refer to the documentation
Follow the documentation to set up everything.
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 .
- Justin Ruan, justin900429@gmail.com
- Joyce Fang, objdoctor891213a@gmail.com
Under MIT LICENCE, please check it here
pull request!
Open an issue or send us the email!😎
We really need the user feedback to help us promote the tools. Please fill this form to let us know how we can improve!