Plant Disease Prediction
An end to end application which predicts whether the cotton plant belongs to the following set of classes.
- Diseased Cotton Leaf.
- Diseased Cotton Plant.
- Fresh Cotton Leaf.
- Fresh Cotton Plant.
Training
- For Training Purpose Refer to the following Notebooks.
- Click Here to view the training notebooks
- The training is done on Google Colab , if you have your own GPU you can train on your local machine.
- Dataset can be downloaded from here.Click Here
- After Downloading the dataset Unzip it and place it under the Dataset Folder , all the path in the colab notebook is according to my relative path so it needs to be changed accordingly.
Inference
-
For Inference Purpose, create a virtual environment and install requirements.txt .
-
After performing the above step, run main.py.
-
After running the script Flask Server will start at http://127.0.0.1:5001/ , Copy this URL and open it in your browser.
-
Your flask application is now up and running and should look something like this.
. -
Click on the Choose button and upload the plant image , after uploading the image the page will look something like this.
. -
After Uploading the Image, click on the Predict button, after few seconds the output will appear something like this.
.
