diff --git a/submissions/Final Submission/Data Collection and Preprocessing/Code and Visualization.pdf b/submissions/Final Submission/Data Collection and Preprocessing/Update_1.pdf similarity index 100% rename from submissions/Final Submission/Data Collection and Preprocessing/Code and Visualization.pdf rename to submissions/Final Submission/Data Collection and Preprocessing/Update_1.pdf diff --git a/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Deployment.zip b/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Deployment.zip new file mode 100644 index 0000000..51d5cc8 Binary files /dev/null and b/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Deployment.zip differ diff --git a/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Readme.md b/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Readme.md new file mode 100644 index 0000000..166f035 --- /dev/null +++ b/submissions/Final Submission/Transfer Learning and Deployment/Deployment/Readme.md @@ -0,0 +1,19 @@ +# Deployment + +## Docker-Compose +There is a docker image available with this repository. that is road-detection. +git clone this repo. and cd into deployment and run docker-compose up. +open http://localhost:7860/ in you browser to see the app + +## Docker +you can run the following command. This will download the image and deploy it. open http://localhost:7860/ in you browser to see the app. + +"docker run -p 7860:7860 -e SHARE=True ghcr.io/balnarendrasapa/road-detection:latest" + +## Python Virtual Environment +cd into deployment directory. and run "python -m venv .venv" to create a virtual environment. +run "pip install -r requirements.txt" +run "python app.py" +open http://localhost:7860/ in you browser to see the app + +[Youtube Presentation](https://youtu.be/bnyA-d6lZi8) \ No newline at end of file