Upload visomaster_install.py

NeuroDonu/visomaster_install.py

@@ -0,0 +1,132 @@
+import os
+import subprocess
+import requests
+import shutil
+from tqdm import tqdm
+
+cuda_url = "https://huggingface.co/datasets/NeuroDonu/PortableSource/resolve/main/CUDA_124.7z"
+updater_url = "https://huggingface.co/datasets/NeuroDonu/PortableVersions/resolve/main/visomaster/updater.bat"
+start_url = "https://huggingface.co/datasets/NeuroDonu/PortableVersions/resolve/main/visomaster/start_nvidia.bat"
+git_repo_url = "https://github.com/visomaster/VisoMaster"
+models_url = "https://huggingface.co/datasets/NeuroDonu/PortableVersions/resolve/main/visomaster_models.7z"
+ffmpeg_url = "https://github.com/visomaster/visomaster-assets/releases/download/v0.1.0_dp/ffmpeg.exe"
+
+base_dir = os.path.dirname(os.path.abspath(__file__))
+visomaster_dir = os.path.join(base_dir, "Visomaster")
+cuda_archive_path = os.path.join(base_dir, "CUDA_124.7z")
+cuda_extract_dir = os.path.join(base_dir, "CUDA")
+seven_zip_path = os.path.join(base_dir, "7z.exe")
+git = os.path.join(base_dir, "git", "cmd", "git.exe")
+python = os.path.join(base_dir, "python", "python.exe")
+requirements = os.path.join(visomaster_dir, "requirements_cu124.txt")
+updater_bat = os.path.join(base_dir, "updater.bat")
+start_bat = os.path.join(base_dir, "start_nvidia.bat")
+ffmpeg_path = os.path.join(visomaster_dir, "dependencies", "ffmpeg.exe")
+pip_cmd = [python, "-m", "pip", "install", "uv"]
+uv_cmd = [python, "-m", "uv", "pip", "install"]
+models_path = os.path.join(visomaster_dir, "model_assets")
+models_name = os.path.join(models_path, "visomaster_models.7z")
+cuda_bin_path = os.path.join(base_dir, "CUDA", "bin")
+cuda_lib_path = os.path.join(base_dir, "CUDA", "lib")
+
+def clear_terminal():
+    os.system('cls' if os.name == 'nt' else 'clear')
+
+def download_with_requests(url, destination):
+    response = requests.get(url, stream=True, headers={"User-Agent": "Mozilla/5.0"})
+    total_size = int(response.headers.get("content-length", 0))
+    block_size = 16384
+    progress_bar = tqdm(total=total_size, unit="B", unit_scale=True, desc=f"Скачивание {os.path.basename(destination)}")
+    with open(destination, "wb") as file:
+        for data in response.iter_content(block_size):
+            progress_bar.update(len(data))
+            file.write(data)
+    progress_bar.close()
+
+def extract_archive(archive_path, extract_dir):
+    subprocess.run([seven_zip_path, "x", archive_path, f"-o{extract_dir}", "-y"], check=True)
+
+def clone_git_repo(repo_url, clone_dir):
+    if os.path.exists(clone_dir):
+        return
+    subprocess.run([git, "clone", repo_url, clone_dir], check=True)
+
+def setup_cuda_paths():
+    if os.path.exists(cuda_bin_path) and os.path.exists(cuda_lib_path):
+        current_path = os.environ.get("PATH", "")
+        os.environ["PATH"] = f"{cuda_bin_path};{cuda_lib_path};{current_path}"
+
+def install_requirements():
+    uv_torch = [uv_cmd, "torch==2.4.1", "torchvision", "torchaudio", "--index-url", "https://download.pytorch.org/whl/cu124"]
+    uv_tensorrt = [uv_cmd, "tensorrt==10.6.0", "tensorrt-cu12_libs==10.6.0", "tensorrt-cu12_bindings==10.6.0", "--index-url", "https://pypi.nvidia.com"]
+    dependencies = [
+        "numpy==1.26.4",
+        "opencv-python==4.10.0.84",
+        "scikit-image==0.21.0",
+        "pillow==9.5.0",
+        "onnx==1.16.1",
+        "protobuf==4.23.2",
+        "psutil==6.0.0",
+        "onnxruntime-gpu==1.20.0",
+        "packaging==24.1",
+        "PySide6==6.7.2",
+        "kornia",
+        "tqdm",
+        "ftfy",
+        "regex",
+        "pyvirtualcam==0.11.1",
+        "numexpr",
+        "onnxsim",
+        "requests",
+        "pyqt-toast-notification==1.3.2",
+        "qdarkstyle",
+        "pyqtdarktheme"
+    ]
+    subprocess.run(uv_torch, check=True)
+    subprocess.run(uv_tensorrt, check=True)
+    for dependency in dependencies:
+        subprocess.run(uv_cmd + dependency.split(), check=True)
+
+def download_bat():
+    download_with_requests(updater_url, updater_bat)
+    download_with_requests(start_url, start_bat)
+
+def download_ffmpeg():
+    download_with_requests(ffmpeg_url, ffmpeg_path)
+
+def download_models():
+    if not os.path.exists(models_path):
+        os.makedirs(models_path)
+    download_with_requests(models_url, models_name)
+    extract_archive(models_name, models_path)
+
+def has_safetensors_files(directory):
+    for filename in os.listdir(directory):
+        if filename.endswith(".safetensors"):
+            return True
+    return False
+
+if __name__ == "__main__":
+    clear_terminal()
+    if not os.path.exists(cuda_extract_dir):
+        download_with_requests(cuda_url, cuda_archive_path)
+        extract_archive(cuda_archive_path, cuda_extract_dir)
+        os.remove(cuda_archive_path)
+    if not os.path.exists(visomaster_dir):
+        clone_git_repo(git_repo_url, visomaster_dir)
+
+    setup_cuda_paths()
+    install_requirements()
+    if not os.path.exists(updater_bat) or os.path.exists(start_bat):
+        download_bat()
+    if not os.path.exists(ffmpeg_path):
+        download_ffmpeg()
+    
+    if has_safetensors_files(models_path):
+        pass
+    else:
+        download_models()
+
+    clear_terminal()
+
+    print("Установка завершена!")