mcap/.gitignore
Musa Mahmood cb21b73460 [0.0.11] Segmentation phases 1-2: Mask2Former exported to ONNX, and modules/Segment to run it
- segmentation-plan.html: the plan for panoptic segmentation of images, per library folder, stored
  in .mcap chunks (no file version bump), in six phases.
- tools/export_mask2former.py: exports facebook/mask2former-swin-base-coco-panoptic to ONNX (opset 17,
  dynamic batch, 384 x 384 input) and checks it against PyTorch: on 25 images, all 180 segments
  identical (IoU 1.000). Writes the class list with names for people ("sky-other-merged" is "sky"),
  and PyTorch's own segmentations for segment-probe -check.
- modules/Segment: runs the model with onnxruntime (CUDA, else the CPU) and makes segments of its
  outputs as transformers' post_process_panoptic_segmentation does: a segment id map (longest side at
  most 1024) and each segment's class, score, area and bounds. Matches PyTorch on 99.8% of pixels,
  every segment scored 0.6 or more found. 57 ms an image at batch 4 on an RTX 5080 laptop.
- tools/segment_probe.jai (jai first.jai - segment_probe): segments image files; -out draws them,
  -check compares with PyTorch, -dump-input writes the model's input.
- modules/onnxruntime: ort_run_float_outputs, for a model with several outputs.
- first.jai copies the model to bin/segment-models. The model itself is not in git
  (modules/Segment/models, 462 MB); tools/export_mask2former.py makes it.
2026-10-10 03:39:28 +01:00

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# Build output: binaries, copied assets and logs go to bin/, intermediates to .build/ (the
# binding generators in modules/ make their own).
/bin/
/bin-headless/
.build/
# Debuggers and editors
*.rdi
.vs/
.vscode/
*.10x
# fork.jai writes one with this machine's paths
*.focus-config
# OS and sync clutter
.DS_Store
Thumbs.db
.stfolder
# OCR: downloaded, not committed (modules/onnxruntime/fetch.jai, modules/OCR/fetch_models.jai)
/modules/onnxruntime/windows/
/modules/onnxruntime/linux/
/modules/onnxruntime/macos/
/modules/onnxruntime/download/
/modules/OCR/models/
# Labels: downloaded, not committed (modules/Labels/fetch_models.jai)
/modules/Labels/models/
# Segmentation: exported by tools/export_mask2former.py, not committed
/modules/Segment/models/