- 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.
- The exit overlay says which step of shutdown is running and what it waits on ("Stopping the OCR
scan: finishing the text lines it is reading.", the import, the viewer, the models), and how long
that step has taken once it passes 2 s. It said "Saving..." for all of it.
- OCR stops mid-batch: ocr_process takes a cancel flag (Ocr_Engine.cancel), checked by its workers
before each piece of work; a scan sets it to its own cancel. A cut-short batch stores nothing and
counts no failures. Closing during a scan took minutes when a batch held large images; now well
under a second.
- Once shutdown starts, the main thread stops running the app's frames (the viewer, search, import,
OCR, Stats) and draws only the overlay: background_frame read the search thread group while the
shutdown thread was tearing it down, an access violation on exit.
- Import brings in videos (MP4, MOV, MKV, WebM, AVI, WMV, MPEG, MTS/M2TS, FLV) on Windows, read with
FFmpeg: the file as it was in the original, a frame a tenth of the way in (at most 3 s), turned
the right way up, as the rendered image (what the grid, Capture window, OCR and labels see), and
import.json with Duration, FrameRate, VideoCodec, Rotation, PosterTime, Audio, and the camera,
date and location from the container. Elsewhere videos are skipped as "video (Windows only)".
- .mcap version 4: the original's size is a u64, so a video can be any size. Versions 1-3 still read.
mcap_read_without_original and mcap_write_streamed read and rewrite a file with its original left
on disk; mcap_store, mcap_erase, the import index and the import itself never hold a video in memory.
- Animated GIFs: Frames and Duration in import.json (gif_info).
- Grid: a play mark and duration on video thumbnails, GIF on animations. Capture window: what the
video is, and Play in the default player (written out to %TEMP%\mcap).
- modules/ffmpeg: FFmpeg 6.0 bindings and the five DLLs used (avformat, avcodec, avutil, swscale,
swresample), copied beside the executable by the build.
swscale converts into a buffer of its own allocator with padded rows: an exact-sized one let
its SIMD write past the end, crashing on frames of odd widths (1916, 1106 ...).
- image-probe shows videos and GIF frame counts; ocr-bench reads a video's frame.
- Tests: new video formats, display-matrix rotation, ISO 6709, video dates, GIF frames, and v4
serialize/parse, v3 compatibility, streamed writes, store/erase and extraction.
SnagitConverter's copy of Capture_File needs syncing to read version 4 files.
- Import window (and -import SOURCE DEST): every image under a folder (PNG, JPEG, HEIC, AVIF, WebP,
GIF, BMP, TIFF, camera RAW) becomes an .mcap holding the file as it was, a preview turned by its
EXIF orientation, and metadata.json and import.json Capture Text (date from EXIF, the file name or
its time; file name as title; camera as app). .snagx files become the same .mcap SnagitConverter
makes. Duplicates across the whole library are skipped by a hash index (.import-index); videos
and sidecars are skipped; source files are only read.
- modules/Image_Decode: stb_image, then WIC for everything else; EXIF; orientation; previews.
tools/image_probe.jai shows what it reads.
- modules/Snagx (and modules/jaison), copied from SnagitConverter.
- The library is a folder of folders: recursive scan, a folder filter, and a folder: search prefix.
- OCR, the viewer and ocr-bench decode any image format, turned the right way up.
- Rename D:\SnagitIndex to D:\McapIndex.
