feat: implement Python BiRefNet background segmentation processor and installer

This commit is contained in:
Ümit Tunç
2026-05-23 10:48:41 +03:00
parent 7136b5bbd9
commit 331487549e
3 changed files with 200 additions and 0 deletions
+86
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import os
import sys
import subprocess
import venv
# Force line buffering
sys.stdout.reconfigure(line_buffering=True)
def run_command(command, description):
print(f"[STATUS] {description}...")
try:
process = subprocess.Popen(
command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
shell=True,
bufsize=1
)
# Read output in real-time
for line in process.stdout:
line_str = line.strip()
# If the output has pip download status, keep it readable but don't spam too much
if "Downloading" in line_str or "Installing" in line_str:
print(f"[STATUS] {line_str}")
elif line_str:
print(f"[INFO] {line_str}")
process.wait()
if process.returncode != 0:
print(f"[ERROR] Command failed with code {process.returncode}", file=sys.stderr)
return False
return True
except Exception as e:
print(f"[ERROR] Exception occurred: {str(e)}", file=sys.stderr)
return False
def main():
base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
venv_dir = os.path.join(base_dir, ".venv")
# 1. Create venv if not exists
if not os.path.exists(venv_dir):
print("[STATUS] Creating Python virtual environment...")
try:
venv.create(venv_dir, with_pip=True)
print("[STATUS] Virtual environment successfully created.")
except Exception as e:
print(f"[ERROR] Failed to create virtual environment: {str(e)}", file=sys.stderr)
sys.exit(1)
else:
print("[STATUS] Virtual environment already exists.")
# 2. Path to pip inside the venv
if os.name == 'nt':
pip_path = os.path.join(venv_dir, "Scripts", "pip.exe")
python_path = os.path.join(venv_dir, "Scripts", "python.exe")
else:
pip_path = os.path.join(venv_dir, "bin", "pip")
python_path = os.path.join(venv_dir, "bin", "python")
if not os.path.exists(pip_path):
print("[ERROR] pip executable not found inside virtual environment!", file=sys.stderr)
sys.exit(1)
# 3. Upgrade pip
run_command(f'"{pip_path}" install --upgrade pip', "Upgrading pip to latest version")
# 4. Install dependencies
requirements_path = os.path.join(base_dir, "backend", "requirements.txt")
# Use extra index URL for CPU-only torch to download faster (150MB instead of 2.5GB+ GPU version)
# This is perfect for single images on desktop!
pip_install_cmd = f'"{pip_path}" install -r "{requirements_path}" --extra-index-url https://download.pytorch.org/whl/cpu'
success = run_command(pip_install_cmd, "Installing PyTorch, Transformers, and PIL dependencies")
if not success:
print("[ERROR] Dependency installation failed!", file=sys.stderr)
sys.exit(1)
print("[STATUS] Setup completed successfully!")
print("[STATUS] DONE")
if __name__ == '__main__':
main()