Spaces:
Running
on
Zero
Running
on
Zero
Change quota, fix paths
Browse files- demo/gs_train.py +1 -1
- demo/mast3r_demo.py +1 -1
demo/gs_train.py
CHANGED
@@ -60,7 +60,7 @@ class TrainingArgs:
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checkpoint_iterations: list[int] = field(default_factory=lambda: [7_000, 15_000, 30_000])
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start_checkpoint: str = None
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-
@spaces.GPU(duration=
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def train(
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data_source_path, sh_degree, model_path, images, resolution, white_background, data_device, eval,
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convert_SHs_python, compute_cov3D_python, debug,
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checkpoint_iterations: list[int] = field(default_factory=lambda: [7_000, 15_000, 30_000])
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start_checkpoint: str = None
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+
@spaces.GPU(duration=20)
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def train(
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data_source_path, sh_degree, model_path, images, resolution, white_background, data_device, eval,
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convert_SHs_python, compute_cov3D_python, debug,
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demo/mast3r_demo.py
CHANGED
@@ -174,7 +174,7 @@ def save_colmap_scene(scene, save_dir, min_conf_thr=2, clean_depth=False):
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save_pointcloud_with_normals(imgs, pts3d, masks, sparse_path)
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return save_path
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-
@spaces.GPU(duration=
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def get_reconstructed_scene(outdir, model, device, silent, image_size, current_scene_state,
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filelist, optim_level, lr1, niter1, lr2, niter2, min_conf_thr, matching_conf_thr,
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as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, scenegraph_type, winsize,
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save_pointcloud_with_normals(imgs, pts3d, masks, sparse_path)
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return save_path
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+
@spaces.GPU(duration=20)
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def get_reconstructed_scene(outdir, model, device, silent, image_size, current_scene_state,
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filelist, optim_level, lr1, niter1, lr2, niter2, min_conf_thr, matching_conf_thr,
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as_pointcloud, mask_sky, clean_depth, transparent_cams, cam_size, scenegraph_type, winsize,
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