Spaces:
Running on Zero
Running on Zero
Commit History
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Fix ZeroGPU startup: disable Xet, run inference behind @spaces.GPU
The Space moved to ZeroGPU (zero-a10g), which broke startup in three ways: - The HF Xet downloader can't write its cache inside the ZeroGPU sandbox ("Permission denied (os error 13)"), crashing when open_clip pulled the CLIP classifier weights at runtime. Force the classic HTTP downloader (HF_HUB_DISABLE_XET=1, set before huggingface_hub is imported) and also preload the CLIP repo at build time. - GPU work must run inside a @spaces.GPU window. Wrap _run_inference in @spaces.GPU(duration=120), import the spaces scheduler (no-op fallback for local/non-ZeroGPU dev), and guard the CUDA cleanup for when no device is attached. - The CLIP classifier ran a text-encoder forward pass in its constructor; on ZeroGPU a forward at import time has no GPU. Defer the centroid computation to first use (inside the GPU window) and keep only the weight load eager. Also align suggested_hardware with the deployed zero-a10g.aeea5fe
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Trim demo to Space-essentials and refresh example panoramas
- Drop unused code paths from app.py (isolated-cluster removal, logger setup, MODEL_TO_REPO alias table) — the Space only ever runs the unified prs-eth/PaGeR checkpoint. - Strip src/utils/utils.py and src/utils/geometry_utils.py down to the helpers app.py actually imports. - Swap the example set for the eleven panoramas shipped in the main PaGeR repo (church / eth / library / medieval kitchen / quattro canti / zurich street corner / zurich tree intersection / etc.); drop the legacy alice / fish_eagle_hill / library.png / little_paris / etc.08fff05 -
Swap Places365 scene classifier for zero-shot CLIP ViT-B/32
Replaces the perspective-view Places365-ResNet18 indoor/outdoor classifier with an OpenAI CLIP ViT-B/32 classifier (via open_clip) that scores the 4 equatorial cubemap faces against two text-prompt centroids. The cubemap is already built by the depth pipeline, so the router adds no extra projection cost. Also pulls in the latest SPDX headers from the upstream release.47efa14
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rename io_classifier → scene_classifier
The "IO" name was a Places365 carry-over (their IO_places365.txt label file marks each category as Indoor/Outdoor). In Python "IO" reads as input/output by default and obscures what the module actually does. ``scene_classifier`` matches the existing ``--scene_mode`` flag and the ``_resolve_scene`` helper in app.py. The internal references to the upstream IO_places365.txt resource are kept intact.fad77c8 -
switch demo to the unified DA3-based PaGeR checkpoint
- replace Marigold-style one-step diffusion app + pager with the feed-forward DA3-Giant build from PaGeR-release - vendor src/depth_anything_3/ for the backbone, sky head, dual scale heads (auto-routed by a Places365 classifier) - point preload_from_hub + models at the unified prs-eth/PaGeR repo - trim requirements to what app.py actually imports (drops diffusers, transformers, wandb, tqdm) and keep gradio 6.0.23de34d4
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Save work before migration
25abb1d