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import os
import csv
import json
import datasets
import numpy as np
import pandas as pd
from pathlib import Path
_DESCRIPTION = """\
Monster Hunter Rise images and labels.
"""
_DATA_URL = {
"whole_image": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/whole/train.zip",
"whole_label": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/whole/label.csv",
"hole_image": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/hole/train.zip",
"hole_label": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/hole/label.csv",
"skill_image": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/skill/train.zip",
"skill_label": "https://huggingface.co/datasets/miojizzy/mhr_recognize_datasets/resolve/main/data/skill/label.csv",
}
class MHRRecognizeDatasetsConfig(datasets.BuilderConfig):
def __init__(self, name, **kwargs):
super(MHRRecognizeDatasetsConfig, self).__init__(
version=datasets.Version("1.0.0"),
name=name,
description=_DESCRIPTION,
**kwargs,
)
class MHRRecognizeDatasets(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
MHRRecognizeDatasetsConfig("whole"),
MHRRecognizeDatasetsConfig("hole"),
MHRRecognizeDatasetsConfig("skill"),
]
def _info(self):
features = datasets.Features({
"image": datasets.Image(),
"label": datasets.Value("int32"),
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features
)
def _split_generators(self, dl_manager):
download_files = dl_manager.download_and_extract(_DATA_URL)
images = dl_manager.iter_files(os.path.join(download_files[self.config.name+"_image"]))
label = os.path.join(download_files[self.config.name+"_label"])
return [
datasets.SplitGenerator(
name = datasets.Split.TRAIN,
gen_kwargs = {"images": images, "label": label},
)
]
def _generate_examples(self, images, label):
label_csv = pd.read_csv(label).fillna(-1)
for i, path in enumerate(images):
file_name = os.path.basename(path)
image_label = label_csv[label_csv["name"] == file_name]['label'].values[0]
yield i, {"image": path, "label": image_label} |