Train a Tensorflow model based on Inception V3 with custom set of images and apply the model to identify objects in a webpage with the help of selenium.
A list of commonly used resources that I find helpful are listed in the acknowledgements.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is the list of things you need to have in your system.
- Get Docker Desktop to pull Tensorflow images
- Have Python installed in the system
- Install PyCharm IDE (Optional) to edit/run the code
- Clone the repo
git clone https://github.com/dasxran/seleniumMachineLearning.git- Pull Tensorflow image from Docker hub
docker pull dasxran/tensorflowTBW...
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature) - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE for more information.
Ranjan Kumar Das - [email protected]
Project Link: https://github.com/dasxran/seleniumMachineLearning