Spaces:
Running
on
Zero
Running
on
Zero
tokenid
commited on
Commit
•
35f429b
1
Parent(s):
00059bc
update
Browse files- app.py +14 -25
- src/models/renderer/utils/renderer.py +2 -0
app.py
CHANGED
@@ -167,30 +167,6 @@ def generate_mvs(input_image, sample_steps, sample_seed):
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return z123_image, show_image
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def make_mesh(mesh_fpath, planes):
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mesh_basename = os.path.basename(mesh_fpath).split('.')[0]
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mesh_dirname = os.path.dirname(mesh_fpath)
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mesh_vis_fpath = os.path.join(mesh_dirname, f"{mesh_basename}.glb")
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with torch.no_grad():
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# get mesh
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mesh_out = model.extract_mesh(
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planes,
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use_texture_map=False,
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**infer_config,
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)
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vertices, faces, vertex_colors = mesh_out
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vertices = vertices[:, [0, 2, 1]]
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vertices[:, -1] *= -1
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save_obj(vertices, faces, vertex_colors, mesh_fpath)
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print(f"Mesh saved to {mesh_fpath}")
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return mesh_fpath
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@spaces.GPU
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def make3d(input_image, sample_steps, sample_seed):
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@@ -253,7 +229,20 @@ def make3d(input_image, sample_steps, sample_seed):
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# print(f"Video saved to {video_fpath}")
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return mesh_fpath, show_images
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return z123_image, show_image
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@spaces.GPU
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def make3d(input_image, sample_steps, sample_seed):
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# print(f"Video saved to {video_fpath}")
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# get mesh
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mesh_out = model.extract_mesh(
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planes,
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use_texture_map=False,
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**infer_config,
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)
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vertices, faces, vertex_colors = mesh_out
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vertices = vertices[:, [0, 2, 1]]
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vertices[:, -1] *= -1
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save_obj(vertices, faces, vertex_colors, mesh_fpath)
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print(f"Mesh saved to {mesh_fpath}")
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return mesh_fpath, show_images
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src/models/renderer/utils/renderer.py
CHANGED
@@ -68,6 +68,8 @@ def sample_from_planes(plane_axes, plane_features, coordinates, mode='bilinear',
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coordinates = (2/box_warp) * coordinates # add specific box bounds
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projected_coordinates = project_onto_planes(plane_axes, coordinates).unsqueeze(1)
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output_features = torch.nn.functional.grid_sample(
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plane_features,
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coordinates = (2/box_warp) * coordinates # add specific box bounds
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print('plane_axes', plane_axes.dtype, 'plane_features', plane_features.dtype, 'coordinates', coordinates.dtype)
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projected_coordinates = project_onto_planes(plane_axes, coordinates).unsqueeze(1)
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output_features = torch.nn.functional.grid_sample(
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plane_features,
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