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import sys | |
import os | |
from huggingface_hub import snapshot_download | |
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) | |
def download_yolo_face_detection_model(): | |
""" | |
Downloads the YOLO face detection model from Hugging Face using snapshot_download. | |
""" | |
print("Downloading YOLO face detection model...") | |
# Define the checkpoint directory | |
checkpoint_dir = "./ckpts" | |
yolo_dir = os.path.join(checkpoint_dir, "yolo_face_detection") | |
# Create the checkpoint directory if it doesn't exist | |
os.makedirs(yolo_dir, exist_ok=True) | |
model_id = "AdamCodd/YOLOv11n-face-detection" | |
try: | |
# Download the model snapshot | |
snapshot_download( | |
repo_id=model_id, | |
local_dir=yolo_dir, | |
allow_patterns=["*.pt", "*.bin"], # Only download model weight files | |
local_dir_use_symlinks=False # Avoid symlinks for clarity | |
) | |
print(f"Successfully downloaded model to {yolo_dir}") | |
except Exception as e: | |
print(f"Error during model download: {e}") | |
sys.exit(1) | |
# finally: | |
# # Change back to the original directory | |
# os.chdir(os.path.abspath(os.path.join(yolo_dir, "..", ".."))) | |
if __name__ == "__main__": | |
download_yolo_face_detection_model() | |
print("YOLOv11 face detection model download complete.") | |