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f9bbdff d023f42 f9bbdff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | import argparse
from pathlib import Path
import sys
from PIL import Image
import torch
from huggingface_hub import snapshot_download
from torchvision import transforms
sys.path.insert(0, str(Path(__file__).absolute().parents[1]))
from vision import load_vision
MODEL_ID = "immanuelpeter/C-RADIOv4-H-3.5-Super"
def main() -> None:
parser = argparse.ArgumentParser(description="Extract Nemotron Super visual features.")
parser.add_argument("image", type=Path)
parser.add_argument("--model", default=MODEL_ID)
args = parser.parse_args()
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
dtype = torch.bfloat16 if device.type == "cuda" else torch.float32
bundle = Path(args.model) if Path(args.model).is_dir() else Path(snapshot_download(args.model))
model = load_vision(bundle, dtype=dtype).to(device)
image = Image.open(args.image).convert("RGB")
pixels = transforms.Compose([
transforms.Resize(448, interpolation=transforms.InterpolationMode.BICUBIC),
transforms.CenterCrop(448),
transforms.ToTensor(),
])(image).unsqueeze(0).to(device)
for stage, tokens in model(pixels).items():
print(stage, tuple(tokens.shape))
if __name__ == "__main__":
main()
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