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import pandas as pd
from pandas_image_methods import PILMethods
from pathlib import Path
SKILLS = [
"single_skill/counting_only-paired-distance_and_counting",
"single_skill/counting_only-paired-position_and_counting",
"single_skill/distance_only",
"single_skill/position_only",
"single_skill/size_only",
"combine_2_skill/distance_and_counting",
"combine_2_skill/distance_and_size",
"combine_2_skill/position_and_counting",
"reasoning/object_manipulation",
"reasoning/object_manipulation_w_intermediate",
"reasoning/object_occlusion",
"reasoning/object_occlusion_w_intermediate",
]
pd.api.extensions.register_series_accessor("pil")(PILMethods)
for skill in SKILLS:
print(skill)
fn_json = f"eval_datasets/coco_test2017_annotations/{skill}.json"
df = pd.read_json(fn_json)
df["image"] = df["metadata"].map(
lambda dict: f"eval_datasets/coco_test2017/{dict['source_img_id']:0>12}.jpg"
).pil.open()
fn_parquet = f"eval_datasets/coco_test2017_annotations_hf/{skill}.parquet"
Path(fn_parquet).parent.mkdir(parents=True, exist_ok=True)
df.to_parquet(fn_parquet)
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