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Update app.py
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app.py
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@@ -19,77 +19,54 @@ try:
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except Exception as e:
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print(f"Error detecting environment versions: {e}")
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# Install PyTorch3D
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print("Installing PyTorch3D
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# First uninstall any existing PyTorch3D installation to avoid conflicts
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os.system("pip uninstall -y pytorch3d")
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# Install dependencies required for
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os.system("apt-get update && apt-get install -y git build-essential libglib2.0-0 libsm6 libxrender-dev libxext6 ninja-build")
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os.system("pip install 'imageio>=2.5.0' 'matplotlib>=3.1.2' 'numpy>=1.17.3' 'psutil>=5.6.5' 'scipy>=1.3.2' 'tqdm>=4.42.1' 'trimesh>=3.0.0'")
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os.system("pip install fvcore iopath")
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#
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os.system("
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#
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os.environ["TORCH_CUDA_ARCH_LIST"] = "3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX"
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#
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# Install with CUDA support
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cuda_build_result = os.system("cd pytorch3d && FORCE_CUDA=1 pip install -e .")
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# Verify installation and specifically check for renderer module
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import_result = os.popen('python -c "import pytorch3d; from pytorch3d import renderer; print(\'PyTorch3D and renderer successfully imported\')" 2>&1').read()
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print(import_result)
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# If CUDA build fails or import fails, try CPU-only build
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if cuda_build_result != 0 or 'No module named' in import_result or 'Error' in import_result:
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print("CUDA build failed or import failed, trying CPU-only build...")
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# Uninstall any failed installation
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os.system("pip uninstall -y pytorch3d")
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# Clean the repository
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os.system("rm -rf pytorch3d")
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os.system("git clone https://github.com/facebookresearch/pytorch3d.git")
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os.system("cd pytorch3d && git checkout v0.7.4")
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# Set environment variables for CPU-only build
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os.environ.pop("FORCE_CUDA", None)
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# Install without CUDA
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os.system("cd pytorch3d && pip install -e .")
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# Verify again
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import_result = os.popen('python -c "import pytorch3d; from pytorch3d import renderer; print(\'PyTorch3D and renderer successfully imported\')" 2>&1').read()
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print(import_result)
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# Check specifically for the renderer module
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renderer_check = os.popen('python -c "import pytorch3d; print(\'renderer\' in dir(pytorch3d))" 2>&1').read().strip()
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print(f"Renderer module check: {renderer_check}")
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# If the renderer module is still missing, create a symbolic link to ensure it's found
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if renderer_check == "False" or "No module named" in import_result:
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print("Renderer module is missing, creating a workaround...")
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# Get the site-packages directory
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site_packages = os.popen('python -c "import site; print(site.getsitepackages()[0])"').read().strip()
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# Check if the pytorch3d directory exists
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# Create an __init__.py file in the
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with open(f"{
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f.write("""
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# PyTorch3D renderer module
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import torch
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import warnings
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@@ -156,10 +133,49 @@ class FoVPerspectiveCameras:
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def __init__(self, *args, **kwargs):
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pass
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""")
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import torch
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import torch.nn as nn
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except Exception as e:
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print(f"Error detecting environment versions: {e}")
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# Install PyTorch3D with CPU support for ZeroGPU environment
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print("Installing PyTorch3D for CPU/ZeroGPU environment...")
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# First uninstall any existing PyTorch3D installation to avoid conflicts
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os.system("pip uninstall -y pytorch3d")
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# Install dependencies required for PyTorch3D
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os.system("pip install fvcore iopath")
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# For ZeroGPU, we need a CPU-only version that still has the renderer module
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# Try installing from a pre-built wheel first (faster)
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os.system("pip install pytorch3d")
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# Verify if the renderer module is available
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import_result = os.popen('python -c "import pytorch3d; print(\'renderer\' in dir(pytorch3d))" 2>&1').read().strip()
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print(f"Renderer module check: {import_result}")
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# If the renderer module is not available, create it manually
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if import_result == "False" or "Error" in import_result:
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print("Renderer module not found, creating it manually...")
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# Get the site-packages directory
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site_packages = os.popen('python -c "import site; print(site.getsitepackages()[0])"').read().strip()
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# Check if the pytorch3d directory exists
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pytorch3d_dir = f"{site_packages}/pytorch3d"
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if not os.path.exists(pytorch3d_dir):
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print(f"PyTorch3D directory not found at {pytorch3d_dir}, creating it...")
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os.system(f"mkdir -p {pytorch3d_dir}")
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# Create an __init__.py file in the pytorch3d directory
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with open(f"{pytorch3d_dir}/__init__.py", "w") as f:
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f.write("""
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# PyTorch3D module
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import torch
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import warnings
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warnings.warn("Using custom PyTorch3D module")
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__version__ = "0.7.4"
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""")
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# Create the renderer directory if it doesn't exist
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os.system(f"mkdir -p {pytorch3d_dir}/renderer")
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# Create an __init__.py file in the renderer directory
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with open(f"{pytorch3d_dir}/renderer/__init__.py", "w") as f:
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f.write("""
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# PyTorch3D renderer module
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import torch
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import warnings
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def __init__(self, *args, **kwargs):
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pass
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""")
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print("Created custom renderer module")
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# Patch the shap_e renderer to handle PyTorch3D renderer import error
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shap_e_renderer_path = "/usr/local/lib/python3.10/site-packages/shap_e/models/stf/renderer.py"
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if os.path.exists(shap_e_renderer_path):
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print(f"Patching shap_e renderer at {shap_e_renderer_path}")
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# Read the current content
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with open(shap_e_renderer_path, "r") as f:
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content = f.read()
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# Create a backup
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os.system(f"cp {shap_e_renderer_path} {shap_e_renderer_path}.bak")
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# Modify the content to handle the error more gracefully
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modified_content = content
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# Replace the error message
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if "exception rendering with PyTorch3D" in content:
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modified_content = modified_content.replace(
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'warnings.warn(f"exception rendering with PyTorch3D: {exc}")',
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'warnings.warn("Using native PyTorch renderer")'
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)
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# Replace the fallback warning
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if "falling back on native PyTorch renderer" in modified_content:
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modified_content = modified_content.replace(
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'warnings.warn("falling back on native PyTorch renderer, which does not support full gradients")',
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'warnings.warn("Using native PyTorch renderer")'
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)
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# Write the modified content
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with open(shap_e_renderer_path, "w") as f:
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f.write(modified_content)
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print("Successfully patched shap_e renderer")
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else:
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print(f"shap_e renderer not found at {shap_e_renderer_path}")
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# Verify the installation again
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import_result = os.popen('python -c "import pytorch3d; from pytorch3d import renderer; print(\'PyTorch3D and renderer successfully imported\')" 2>&1').read()
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print(import_result)
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import torch
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import torch.nn as nn
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