meta-boy / alex

CNN for plant disease identification college project thing

Steps

1. Download the dataset

https://www.kaggle.com/vipoooool/new-plant-diseases-dataset

2. Clone this repo

git clone https://github.com/meta-boy/alex.git && cd alex

3. Make the input folder

mkdir input

4. Unzip the dataset in this folder

unzip ~/Downloads/archive.zip -d ./input/

5. Make the virtual environment

python3.8 -m pip install virtualenv
python3.8 -m venv env
source ./env/bin/activate

6. Install the dependencies

pip install -r requirements.txt

7. Build and train the model

python AlexNetModel.py

8. Move the trained models

mv *.hdf5 ./input/plant-diseases-classification-using-alexnet

9. Run the server

python app.py

8. Predict!

curl --request POST \
  --url http://127.0.0.1:5000/predict \
  --header 'Content-Type: multipart/form-data; boundary=---011000010111000001101001' \
  --form image=@/path/to/the/goddamn/image.png

NOTE: If there are missing dependencies then just install them via pip