notkshitij/PiDetectify
notkshitij/PiDetectify
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Referencing files locally in about.md

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ABOUT.md
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@ -31,13 +31,13 @@ This project utilizes Raspberry Pi with Pi Camera to detect motion in real-time.
- Install `python3`, `pip`, and necessary libraries. - Install `python3`, `pip`, and necessary libraries.
- Install camera libraries such as `picamera2`, `opencv`, and image processing libraries. - Install camera libraries such as `picamera2`, `opencv`, and image processing libraries.
- Install `requests` for HTTP notifications. - Install `requests` for HTTP notifications.
- Set up Docker and start the `ntfy.sh` container using the [docker-setup.sh](https://git.kska.io/notkshitij/PiDetectify/src/branch/main/docker-setup.sh) script. - Set up Docker and start the `ntfy.sh` container using the [docker-setup.sh](docker-setup.sh) script.
## docker-setup.sh ## docker-setup.sh
- Remove any conflicting Docker packages. - Remove any conflicting Docker packages.
- Add Docker’s official apt repository and install Docker and Docker Compose. - Add Docker’s official apt repository and install Docker and Docker Compose.
- Set up the `ntfy.sh` and `wg-easy` containers using the provided [docker-compose.yaml](https://git.kska.io/notkshitij/PiDetectify/src/branch/main/docker-compose.yaml). - Set up the `ntfy.sh` and `wg-easy` containers using the provided [docker-compose.yaml](docker-compose.yaml).
- Ensure Docker runs without sudo (add the current user to the Docker group). - Ensure Docker runs without sudo (add the current user to the Docker group).
- Test the Docker installation by running a "hello-world" container. - Test the Docker installation by running a "hello-world" container.