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import json
import logging
import sys
import os.path
if len(sys.argv) != 4:
print("Provide .tsv file name, images dir, output file name. e.g. python coco.py coco_captions_train2017.json /mnt/disks/data-1/flickr8k/coco_train.json coco_dataset_train.json")
exit(1)
annotation_file = sys.argv[1]
images_dir = sys.argv[2]
output_file = sys.argv[3]
logging.info("Processing Flicker 8k dataset")
with open(annotation_file, "r") as f:
annotations = json.load(f)
lines = []
for image_path, captions in annotations.items():
edited_captions = []
for caption in captions:
if len(caption) > 0:
edited_captions.append(caption.replace("<start> ", "").replace(" <end>", ""))
full_image_path = images_dir+"/"+image_path
if os.path.isfile(full_image_path):
if len(edited_captions) > 0:
lines.append(json.dumps({"image_path": full_image_path, "captions": edited_captions}))
else:
print(f"{full_image_path} doesn't exist")
train_lines = lines[:-801]
valid_lines = lines[-801:]
with open(output_file+"_train.json", "w") as f:
f.write("\n".join(train_lines))
with open(output_file+"_val.json", "w") as f:
f.write("\n".join(valid_lines))
logging.info(f"Processing Flicker 8k dataset done. {len(lines)} images processed.")
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