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import argparse
import csv
import os
from PIL import Image
from utils import load_model
def main(args):
root = args.image_path
files = list(os.listdir(root))
for model_name in ["koclip", "koclip/koclip-large"]:
counter = 0
images = []
image_ids = []
model, processor = load_model(f"koclip/{model_name}")
while counter < len(files):
if counter != 0 and counter % args.batch_size == 0:
inputs = processor(text=[""], images=images, return_tensors="jax", padding=True)
features = model(**inputs).image_embeds
with open(os.path.join(args.out_path, f"{model_name}.tsv", "w+")) as f:
writer = csv.writer(f, delimiter="\t")
for image_id, feature in zip(image_ids, features):
writer.writerow([image_id, ",".join(feature)])
images = []
image_ids = []
else:
file_ = files[counter]
image = Image.open(os.path.join(root, file_))
images.append(image)
image_ids.append(file_)
counter += 1
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--batch_size", default=16)
parser.add_argument("--image_path", default="images")
parser.add_argument("--out_path", default="features")
args = parser.parse_args()
main(args)
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