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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!") |