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Add conda environment selector

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admin
2026-06-30 16:01:41 +08:00
parent 73d15e9dce
commit e482651545
5 changed files with 79 additions and 4 deletions
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README.md
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@@ -71,6 +71,10 @@ The task builder also reads `GET /api/system/gpus` and lets an operator choose
CPU or one or more GPUs before launch. Selected GPUs are passed to the backend
as `gpus`, exported as `CUDA_VISIBLE_DEVICES`, and reflected into YOLO/visual
`device` parameters and MMSeg config-generation `gpu_count/gpu_ids`.
The same job launcher reads `GET /api/system/envs` and provides an Auto/manual
conda environment selector. Auto keeps the backend defaults (`seg_smp` for
general SegModel/YOLO/dataset tasks and `seg_mmcv` for MMSeg); manual mode
sends `conda_env` with the job request for custom algorithm environments.
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