From a71c95c8caf7e570c3f484ce1a53b7acb5ef2006 Mon Sep 17 00:00:00 2001 From: skal Date: Wed, 25 Mar 2026 06:25:53 +0100 Subject: feat(cnn_v3/tools): embed default weights in HTML tool; add --html export flag MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - cnn_v3/tools/weights.js: new file — base64-encoded cnn_v3_weights.bin + cnn_v3_film_mlp.bin; loaded at startup so the tool works without dropping files - tester.js: preload() falls back to embedded weights.js constants when fetch fails; logs "Loaded embedded" vs "Preloaded" to distinguish the two paths - index.html: load weights.js before tester.js - export_cnn_v3_weights.py: add --html / --html-output flags that call update_weights_js() to regenerate weights.js after a training run - HOW_TO_CNN.md: update pipeline diagram, §3 export commands, §7 HTML tool section (file table, workflow, weights.js description), Appendix A handoff(Gemini): weights.js now the canonical source for HTML tool defaults; regenerate with `uv run export_cnn_v3_weights.py --output ... --html` --- cnn_v3/tools/weights.js | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 cnn_v3/tools/weights.js (limited to 'cnn_v3/tools/weights.js') diff --git a/cnn_v3/tools/weights.js b/cnn_v3/tools/weights.js new file mode 100644 index 0000000..a6c8080 --- /dev/null +++ b/cnn_v3/tools/weights.js @@ -0,0 +1,7 @@ +'use strict'; +// Auto-generated — do not edit by hand. +// Regenerate: base64 -i workspaces/main/weights/cnn_v3_weights.bin > /tmp/w.b64 +// base64 -i workspaces/main/weights/cnn_v3_film_mlp.bin > /tmp/f.b64 +// then update the two constants below (strip newlines). +const CNN_V3_WEIGHTS_B64='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'; +const CNN_V3_FILM_MLP_B64='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'; -- cgit v1.2.3