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		Running
		
			on 
			
			Zero
	
		Charlie Amalet
		
	commited on
		
		
					Commit 
							
							·
						
						ae4bd74
	
1
								Parent(s):
							
							b6b254b
								
Upload mesh.py
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        mesh.py
    ADDED
    
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            from zoedepth.utils.geometry import depth_to_points, create_triangles
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            import gradio as gr
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            import numpy as np
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            from PIL import Image
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            import trimesh
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            from functools import partial
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            import tempfile
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            def depth_edges_mask(depth):
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                """Returns a mask of edges in the depth map.
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                Args:
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                depth: 2D numpy array of shape (H, W) with dtype float32.
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                Returns:
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                mask: 2D numpy array of shape (H, W) with dtype bool.
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                """
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                # Compute the x and y gradients of the depth map.
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                depth_dx, depth_dy = np.gradient(depth)
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                # Compute the gradient magnitude.
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                depth_grad = np.sqrt(depth_dx ** 2 + depth_dy ** 2)
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                # Compute the edge mask.
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                mask = depth_grad > 0.05
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                return mask
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            def predict_depth(model, image):
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                depth = model.infer_pil(image)
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                return depth
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            def get_mesh(model, image: Image.Image, keep_edges=True):
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                image.thumbnail((1024,1024))  # limit the size of the input image
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                depth = predict_depth(model, image)
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                pts3d = depth_to_points(depth[None])
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                pts3d = pts3d.reshape(-1, 3)
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                # Create a trimesh mesh from the points
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                # Each pixel is connected to its 4 neighbors
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                # colors are the RGB values of the image
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                verts = pts3d.reshape(-1, 3)
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                image = np.array(image)
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                if keep_edges:
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                    triangles = create_triangles(image.shape[0], image.shape[1])
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                else:
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                    triangles = create_triangles(image.shape[0], image.shape[1], mask=~depth_edges_mask(depth))
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                colors = image.reshape(-1, 3)
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                mesh = trimesh.Trimesh(vertices=verts, faces=triangles, vertex_colors=colors)
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                # Save as glb
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                glb_file = tempfile.NamedTemporaryFile(suffix='.glb', delete=False)
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                glb_path = glb_file.name
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                mesh.export(glb_path)
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                return glb_path
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            def mesh_interface(model):
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                with gr.Row():
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                    with gr.Column():
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                        inputs=[gr.Image(label="Input Image", type='pil'), gr.Checkbox(label="Keep occlusion edges", value=True)]
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                    outputs=gr.Model3D(label="3D Mesh", clear_color=[1.0, 1.0, 1.0, 1.0])
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                generate_btn = gr.Button(value="Generate")
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                generate_btn.click(partial(get_mesh, model), inputs=inputs, outputs=outputs, api_name="generate_mesh")
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