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31 lines
1.7 KiB
Markdown
31 lines
1.7 KiB
Markdown
# New
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See [README.md](https://github.com/jomjol/AI-on-the-edge-device/blob/master/code/README.md)
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# Old
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## Build the project yourself
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- Download and install VS Code
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- https://code.visualstudio.com/Download
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- Install the VS Code platform io plugin
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- <img src="https://raw.githubusercontent.com/jomjol/ai-on-the-edge-device/master/images/platformio_plugin.jpg" width="200" align="middle">
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- Check for error messages, maybe you need to manually add some python libraries
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- e.g. in my Ubuntu a python3-env was missing: `sudo apt-get install python3-venv`
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- git clone this project
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- in Linux: `git clone https://github.com/jomjol/AI-on-the-edge-device.git`
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- in VS code, open the `AI-on-the-edge-device/code`
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- from terminal: `cd AI-on-the-edge-device/code && code .`
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- open a pio terminal (click on the terminal sign in the bottom menu bar)
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- make sure you are in the `code` directory
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- To build, type `platformio run --environment esp32cam`
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- or use the graphical interface:
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<img src="https://raw.githubusercontent.com/jomjol/ai-on-the-edge-device/master/images/platformio_build.jpg" width="200" align="middle">
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- the build artifacts are stored in `code/.pio/build/esp32cam/`
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- Connect the device and type `pio device monitor`. There you will see your device and can copy the name to the next instruction
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- Add `upload_port = you_device_port` to the `platformio.ini` file
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- make sure an sd card with the contents of the `sd_card` folder is inserted and you have changed the wifi details
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- `pio run --target erase` to erase the flash
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- `pio run --target upload` this will upload the `bootloader.bin, partitions.bin,firmware.bin` from the `code/.pio/build/esp32cam/` folder.
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- `pio device monitor` to observe the logs via uart
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