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Add deep acceptance artifacts for model families

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admin
2026-06-30 14:46:39 +08:00
parent 0c239483a9
commit b913877929
3 changed files with 36 additions and 18 deletions
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README.md
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@@ -86,8 +86,11 @@ For stronger runtime proof, `POST /api/acceptance/deep` runs minimal training
loops for the three model families: one SegModel optimizer step, one YOLO
segmentation epoch on a synthetic 64x64 dataset, one YOLO GradCAM heatmap
generation pass from the trained tiny checkpoint, and one MMSeg optimizer step
through the full `mmcv._ext` runtime. The latest report is available from
`GET /api/acceptance/deep/latest` and is surfaced in the coverage panel.
through the full `mmcv._ext` runtime. It also writes tiny SegModel mask/loss
artifacts, YOLO heatmap/results artifacts, and MMSeg loss artifacts under
`var/acceptance/deep_*`, so the normal results and curve dashboards can prove
each model family produced browsable output. The latest report is available
from `GET /api/acceptance/deep/latest` and is surfaced in the coverage panel.
Current `seg_smp` uses `mmcv-lite` because no `torch 2.6/cu124` full `mmcv`
wheel is available on this machine and `nvcc` is not installed for source