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Add result curve discovery dashboard

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admin
2026-06-30 13:35:07 +08:00
parent 2d7d54ba13
commit 7d6e1692b1
10 changed files with 554 additions and 22 deletions
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README.md
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@@ -44,8 +44,10 @@ Open the Vite URL shown in the terminal. The frontend expects the backend at
The web UI includes a dataset bench for creating upload workspaces, uploading
images/labels/masks, and jumping into the existing rename, PNG conversion,
resize, pair-check, label rebuild, transparent overlay, stitch, and video-frame
jobs. Segmentation previews, YOLO heatmaps, and loss/metric artifacts are
grouped on the results dashboard.
jobs. Selecting an uploaded dataset fills task JSON with its images, labels,
and masks directories. Segmentation previews, YOLO heatmaps, and loss/metric
artifacts are grouped on the results dashboard, and YOLO-style `results.csv`
files are parsed into lightweight training curves.
The coverage panel calls `GET /api/coverage` and verifies that the user-facing
scripts from the existing `Seg/` workspace are mapped to web jobs. MMSeg
@@ -121,6 +123,8 @@ Use `GET /api/catalog` to inspect supported models, algorithms, datasets, and
task types discovered from the existing `Seg/` workspace.
Use `GET /api/coverage` to inspect script-to-task coverage and task
buildability.
Use `GET /api/results/curves` to inspect parsed training curves discovered
from YOLO, SegModel, MMSeg, visual-tool, and analysis output directories.
## Agents