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Update app.py
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app.py
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@@ -2,12 +2,39 @@ import subprocess
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import re
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from typing import List, Tuple, Optional
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# Define the command to be executed
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command = ["python", "setup.py", "build_ext", "--inplace"]
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# Execute the command
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result = subprocess.run(command, capture_output=True, text=True)
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# Print the output and error (if any)
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print("Output:\n", result.stdout)
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print("Errors:\n", result.stderr)
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@@ -413,11 +440,6 @@ def reset_propagation(first_frame_path, predictor, stored_inference_state):
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# print(f"RESET State: {stored_inference_state} ")
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return first_frame_path, gr.State([]), gr.State([]), gr.update(value=None, visible=False), stored_inference_state, None, ["frame_0.jpg"], first_frame_path, "frame_0.jpg", gr.update(visible=False)
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css="""
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div#component-18, div#component-25, div#component-35, div#component-41{
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align-items: stretch!important;
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}
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"""
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with gr.Blocks(css=css) as demo:
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first_frame_path = gr.State()
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import re
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from typing import List, Tuple, Optional
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# Define the command to be executed
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command = ["python", "setup.py", "build_ext", "--inplace"]
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# Execute the command
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result = subprocess.run(command, capture_output=True, text=True)
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def install_cuda_toolkit():
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# CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
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CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
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CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
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subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
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subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
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subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
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os.environ["CUDA_HOME"] = "/usr/local/cuda"
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os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
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os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
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os.environ["CUDA_HOME"],
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"" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
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)
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# Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
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os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
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install_cuda_toolkit()
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css="""
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div#component-18, div#component-25, div#component-35, div#component-41{
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align-items: stretch!important;
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}
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"""
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# Print the output and error (if any)
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print("Output:\n", result.stdout)
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print("Errors:\n", result.stderr)
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# print(f"RESET State: {stored_inference_state} ")
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return first_frame_path, gr.State([]), gr.State([]), gr.update(value=None, visible=False), stored_inference_state, None, ["frame_0.jpg"], first_frame_path, "frame_0.jpg", gr.update(visible=False)
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with gr.Blocks(css=css) as demo:
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first_frame_path = gr.State()
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