35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
# Neural Interactive Shaping of Parameter Spaces
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https://musicallyembodiedml.github.io/memlnaut/approaches/nisps
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## Firmware
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The hardware firmware targets the MEMLNaut RP2350 build and uses repo-local helper
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scripts for the known-good build configuration:
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```bash
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git submodule update --init --recursive
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scripts/build-firmware.sh
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scripts/flash-firmware.sh
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scripts/build-and-flash-firmware.sh
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```
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Notes:
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- The scripts build for `rp2040:rp2040:solderparty_rp2350_stamp_xl` with `Optimize3`.
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- The build forces C++20 because the firmware uses `std::span` and concepts.
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- `flash-firmware.sh` accepts an optional mountpoint argument, or auto-detects common UF2 bootloader mounts such as `/run/media/$USER/RP2350` and `/run/media/$USER/RPI-RP2`.
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## Web Playground
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Try NISPS in your browser — no hardware required:
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```bash
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cd playground
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python3 -m http.server
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# Open http://localhost:8000
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```
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Train a neural network to map joystick positions to generative visuals through interactive machine learning. Two learning modes: direct example mapping and reinforcement learning with thumbs up/down feedback.
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The playground UI includes an **Expand** toggle on the visual surface so you can make the canvas nearly full-screen while compressing parameter/control panels into a minimal strip beneath it.
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