diff --git a/DATASET_SHA256 b/DATASET_SHA256 new file mode 100644 index 0000000000000000000000000000000000000000..7bcc8af5eed7c704a73cb3fe07c97d36513e5d00 --- /dev/null +++ b/DATASET_SHA256 @@ -0,0 +1 @@ +306bd93d73a5dfc7d966dfb6e230b2247ee6da5c42a6ecf0f62213b37791fc8e diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..459f8f784282ba646ff836a7e8f2a1bb0fd8bae8 --- /dev/null +++ b/README.md @@ -0,0 +1,54 @@ +--- +license: cc-by-4.0 +task_categories: +- image-classification +tags: +- 3d-printing +- fdm +- print-failure +- snapmaker-u1 +size_categories: +- n<1K +pretty_name: 3d-cli print-failure frames +--- + +# 3d-cli print-failure frames + +Camera frames from two FDM printers (Snapmaker U1, Creality K1 SE), labelled for the tier (b) +whole-frame vision model of [3d-cli](https://github.com/alex-mextner/3d-cli) (`3d printer vision`; +code: `tools/vision_train`). Classes: `healthy`, `spaghetti`, `part_detached`, `empty_bed`. + +**This set is small and unbalanced.** 421 healthy frames from printing and a handful of +failure frames (7 empty_bed, 1 part_detached, 7 spaghetti). It is meant to be extended with frames recorded by `3d printer vision record`; it is +not enough to train a detachment detector on its own. `part_detached` is one event (a large +honeycomb panel that peeled off the plate): do not read a metric computed on it as evidence. + +## Files + +- `own/frames/.jpg`: sanitised frames (`` = first 16 hex of the file's sha256). +- `labels.jsonl`: `id, file, label, split (train|test), group (one print or event: keep a group + on one side of a split), printer, source, width, height, sha256, qr_masked`. +- `sanitation.json`: per source how many frames were found, published, refused or masked, and the + tool versions. `DATASET_SHA256`: sha256 over the sorted `id|sha256|label|split` lines of the + published rows (the id of the dataset revision a model card pins). + +## Sanitation + +Frames were decoded and re-encoded (EXIF/ICC removed), cropped to the printer's bed-and-part area +(rooms, windows, screens and the chamber's back wall with its QR stickers are outside the crop), +QR codes were painted over, and a face and person detector (OpenCV Haar + HOG) refused any frame +with a hit (36 frames refused). File names carry no timestamps or project names. The +automatic checks are no proof: contact sheets of every published frame were reviewed by a human +before publishing. If you find a frame that should not be here, open an issue on the GitHub repo. + +## Licence and provenance + +All frames are the owner's own captures: CC-BY-4.0. The prints on the bed are the owner's own +models and models downloaded from model sites; no model files are included. The public frame +collections used for evaluation next to this set (spaghetti, bed-adhesion failures, ...) carry +their own licences and are **not** redistributed here; their provenance is documented in the +3d-cli repository (docs/research/printer-vision-tuning.md). + +## Revision + +Dataset sha256 `306bd93d73a5dfc7d966dfb6e230b2247ee6da5c42a6ecf0f62213b37791fc8e`; built by `tools/vision_train/dataset.py` at 3d-cli commit `a06ced7554e6d172844166675447f3e2d26c7e8a`. diff --git a/labels.jsonl b/labels.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cac97984f817fda57dec0214ad305cd42148db1a --- /dev/null +++ b/labels.jsonl @@ -0,0 +1,436 @@ +{"file": "own/frames/003cc04621b237b7.jpg", "group": "u1-print-a", "height": 378, "id": "003cc04621b237b7", "label": "healthy", "printer": "snapmaker-u1", "provenance": "own", "qr_masked": 0, "sha256": "003cc04621b237b7cdcf4b8c301fa1042849aa27f53ce399073141d4a974ddbb", "source": "u1-timelapse-a", "split": "train", "width": 960} +{"file": "own/frames/015c00c884f8042b.jpg", "group": "u1-print-b", "height": 378, "id": "015c00c884f8042b", "label": "healthy", "printer": "snapmaker-u1", "provenance": "own", "qr_masked": 0, "sha256": "015c00c884f8042b703a3cf56c39db507fd84f2a25c1c3006e6b047e7a561bc8", "source": "u1-timelapse-b", "split": "train", "width": 960} +{"file": "own/frames/020f00dc84f57b8a.jpg", "group": "u1-print-a", "height": 378, "id": "020f00dc84f57b8a", "label": "healthy", "printer": "snapmaker-u1", "provenance": "own", "qr_masked": 0, "sha256": "020f00dc84f57b8ae03c05536a85dc7a396f457b7f42d8765cd1b0e3baf5b179", "source": "u1-timelapse-a", "split": "train", "width": 960} +{"file": "own/frames/022a0d1842ce22b9.jpg", "group": "u1-print-f", "height": 504, "id": "022a0d1842ce22b9", "label": "healthy", "printer": "snapmaker-u1", "provenance": "own", "qr_masked": 0, "sha256": "022a0d1842ce22b925939c574290b801b57a15d80051fe8cd3ff50f45bbdf45f", "source": "u1-live-walls", "split": "train", "width": 1280} 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