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| import csv | |
| import argparse | |
| 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 ["koclip-base", "koclip-large"]: | |
| 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) |