Instance_seg / app.py
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Update app.py
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import os
import subprocess
def run_command(command,shell="/bin/bash"):
try:
subprocess.run(command, check=True, shell=True)
print(f"Successfully ran command: {command}")
except subprocess.CalledProcessError as e:
print(f"Error running command {command}: {e}")
def main():
# Create virtual environment
run_command("python -m venv maskdino_env")
# Activate the virtual environment
# Note: The activation command differs between Windows and Unix systems
if os.name == 'nt':
activate_command = ".\\maskdino_env\\Scripts\\activate"
else:
activate_command = "source maskdino_env/bin/activate"
run_command(activate_command)
# Install PyTorch, torchvision
run_command("pip install torch==1.9.0 torchvision==0.10.0")
# Install OpenCV
run_command("pip install opencv-python")
# Clone and install Detectron2
run_command("git clone https://github.com/facebookresearch/detectron2")
os.chdir("detectron2")
run_command("pip install -e .")
run_command("pip install git+https://github.com/cocodataset/panopticapi")
run_command("pip install git+https://github.com/mcordts/cityscapesScripts")
run_command("pip install --upgrade pip")
os.chdir("..")
# Clone and setup MaskDINO
run_command("git clone https://github.com/IDEA-Research/MaskDINO.git")
os.chdir("MaskDINO")
run_command("pip install -r requirements.txt")
# Compile CUDA kernel for MSDeformAttn
os.chdir("maskdino/modeling/pixel_decoder/ops")
run_command("sh make.sh")
# Optionally, build on a system without a GPU
# Uncomment the line below if needed
# run_command("TORCH_CUDA_ARCH_LIST='8.0' FORCE_CUDA=1 python setup.py build install")
if __name__ == "__main__":
main()