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app.py
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@@ -9,7 +9,11 @@ import torch
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import tempfile
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import os
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import trimesh
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import time
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# Run the script to download pretrained models
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subprocess.run(["bash", "get_pretrained_models.sh"])
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@@ -206,6 +210,7 @@ iface = gr.Interface(
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title="DepthPro Demo with 3D Visualization",
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description=(
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"An enhanced demo that creates a textured 3D model from the input image and depth map.\n\n"
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"**Instructions:**\n"
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"1. Upload an image.\n"
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"2. The app will predict the depth map, display it, and provide the focal length.\n"
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import tempfile
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import os
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import trimesh
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import time
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import timm # Add this import
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# Ensure timm is properly loaded
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print(f"Timm version: {timm.__version__}")
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# Run the script to download pretrained models
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subprocess.run(["bash", "get_pretrained_models.sh"])
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title="DepthPro Demo with 3D Visualization",
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description=(
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"An enhanced demo that creates a textured 3D model from the input image and depth map.\n\n"
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"Forked from https://huggingface.co/spaces/akhaliq/depth-pro and model from https://huggingface.co/apple/DepthPro"
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"**Instructions:**\n"
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"1. Upload an image.\n"
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"2. The app will predict the depth map, display it, and provide the focal length.\n"
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