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import argparse | |
import csv | |
import numpy as np | |
import os | |
from config import MODEL_LIST | |
from utils import load_model | |
def main(args): | |
caption_txt_path = args.text_path | |
f = open(caption_txt_path) | |
captions = [sent.strip() for sent in f.readlines()] | |
for model_name in MODEL_LIST: | |
model, processor = load_model(f"koclip/{model_name}") | |
captions_processed = [processor(sent,images=None,return_tensors='jax') for sent in captions] | |
vec = [np.asarray(model.get_text_features(**c)) for c in captions_processed] | |
with open(os.path.join(args.out_path, f"{model_name}.tsv"), "a+") as f: | |
writer = csv.writer(f, delimiter="\t") | |
for text, feature in zip(captions, vec): | |
writer.writerow([text, ",".join(map(lambda x: str(x), feature))]) | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--text_path", default="cifar100_captions_kr.txt") | |
parser.add_argument("--out_path", default="features/text") | |
args = parser.parse_args() | |
main(args) |