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import torch
from segment_anything import sam_model_registry, SamPredictor
from .common import *
MODEL_PATH = f'{MODEL_FOLDER}/sam/sam_vit_h_4b8939.pth'
DOWNLOAD_URL = 'https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth'
# pre-download
download_file(DOWNLOAD_URL, MODEL_PATH)
def load_model(device='cuda:0'):
print ("Loading model: SAM")
download_file(DOWNLOAD_URL, MODEL_PATH)
sam = sam_model_registry["vit_h"](checkpoint=MODEL_PATH)
sam.to(device=device)
sam_predictor = SamPredictor(sam)
print ("SAM loaded")
return sam_predictor
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