Web application that recognizes and counts the number of red roses using an artificial intelligence model.
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This is a web application that recognizes and counts the number of red roses using artificial intelligence. The user can upload an image or take a picture with the camera. Once the image is processed, the application will display on screen the number of roses found and the average accuracy. The user can also download the resulting image, or generate and download a report.
This web application was developed by Leo, Mike, Carlos and Juan, students at Yachay Tech University.
- Microsoft Windows: 10, 11
- Lunix: Ubuntu 20.04
-
Python (3.8.8 recomended)
Important (for Windows only)
- Make sure to add Python to path during Python installation
- Make sure to disable path length limit during Python installation
- Latest pip
pip install --upgrade pip
- Numpy
pip install numpy
- Django
pip install Django
- TensorFlow
pip install tensorflow
- OpenCV
pip install opencv-python
- ReportLab
pip install reportlab
- Pillow
pip install pillow
- Upgrade Repositories
sudo apt-get upgrade -y
- Pip for Python3
sudo apt install python3-pip
- Upgrade Pip for Python3
sudo pip3 install --upgrade pip
- Django
sudo pip3 install django
- TensorFlow
sudo pip3 install tensorflow
- OpenCV
sudo pip3 install opencv-python
- ReportLab
sudo pip3 install reportlab
- Pillow
sudo pip3 install pillow
- Clone the repo
git clone https://github.com/Leo-Thomas/AI-based-red-rose-counting-webapp.git
- Inside "AI-based-red-rose-counting-webapp" directory, open a terminal and initialize the server
python manage.py runserver
- Open the generated link in the browser
Starting development server at **http://127.0.0.1:8000/**
- Clone the repo
sudo git clone https://github.com/Leo-Thomas/AI-based-red-rose-counting-webapp.git- Inside "AI-based-red-rose-counting-webapp" directory, open a terminal as administrator and initialize the server
sudo python3 manage.py runserver- Open the generated link in the browser
Starting development server at **http://127.0.0.1:8000/**- Click the "Choose file" button
- Select the file you want to process and upload it
- Once the file is loaded, click the "Count" button to start counting.
- A waiting screen will be displayed while your image is being processed. (You can cancel the process at any time by clicking the "Cancel" button.)
- After a few seconds, the original image will be displayed on the screen together with the image with the rose detection. Also, the number of roses found and the average accuracy will be displayed in the results panel.
- If you wish, you can download the resulting image by clicking on the "Download Image" button.
- You can also generate a report of the count by clicking on the "Generate report" button, which will take you to a new window.
- In the new window, you can download the report by clicking on the "Download report" button.
- Finally, you can go to the home page to process another image
- Click on the "Camera" button
- Give permissions to access your camera
- Then, a box with the image of your camera will be displayed.
- Place the desired image in front of the lens and press the "Shoot" button to capture it. (You can click the "Shoot" button as many times as you wish until you capture the right image.)
- Once the image is captured, click on the "Count" button to start counting.
- A waiting screen will be displayed while your image is being processed. (You can cancel the process at any time by clicking the "Cancel" button.)
- After a few seconds, the original image will be displayed on the screen together with the image with the rose detection. Also, the number of roses found and the average accuracy will be displayed in the results panel.
- If you wish, you can download the resulting image by clicking on the "Download Image" button.
- You can also generate a report of the count by clicking on the "Generate report" button, which will take you to a new window.
- In the new window, you can download the report by clicking on the "Download report" button.
- Finally, you can go to the home page to process another image
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/NewFeature) - Commit your Changes (
git commit -m 'Add some NewFeature') - Push to the Branch (
git push origin feature/NewFeature) - Open a Pull Request
Distributed under the GNU General Public License v3.0. See LICENSE for more information.
Leo Ramos - LinkedIn - leo.ramos@yachaytech.edu.ec
Mike Bermeo - LinkedIn - mike.bermeo@yachaytech.edu.ec
Juan Brito - LinkedIn - juan.brito@yachaytech.edu.ec
Carlos Macancela - LinkedIn - carlos.macancela@yachaytech.edu.ec
Project Link: https://github.com/Leo-Thomas/AI-Rose-counting-system-web-app