Der Hackathon nutzt Daten der Kaggle challange https://www.kaggle.com/kaustubhb999/tomatoleaf
Den Code können Sie über diesen Link in Google Colab öffnen: https://colab.research.google.com/github/Criscraft/HackathonDigitaltag2022/blob/main/TrainingAndValidation.ipynb
If you prefer to implement this code in a local device (CPU), please follow the below steps:
- Clone this repository locally, either by downloading the files in zipped format directly from Github or using git library installed in your device:
git clone https://github.com/Criscraft/HackathonDigitaltag2022.git- Select the folder where you have downloaded/cloned the Git
cd HackathonDigitaltag2022-
We recommend you to use Anaconda for the implementation, for more on installation on Anaconda see: Ananconda Installation
-
Create a new conda enviornment
conda create --name myenv python=3.8 pip- activate the enviorment
conda activate myenvIf you prefer, you can give any desired name for the created enviorment by replacing myenv with your desired name
- Install the requirements from the
requirements_cpu.txtfile
pip install -r requirements_cpu.txt- Once installation is complete, open Jupyter Notebook to make the notebook work
jupyter notebook- Open jupyter notebook on your favourate web-browser (if not automatically opened)
Open local host http://localhost:8888
And select the file TrainingAndValidation.ipynb