minnnnn commited on
Commit
bf5b05a
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1 Parent(s): 76e2bc0

Update test.py

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Files changed (1) hide show
  1. test.py +79 -77
test.py CHANGED
@@ -18,10 +18,10 @@ _LICENSE = ""
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  # _URL = "./"
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- # _URLS = {
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- # "train": "/content/drive/MyDrive/",
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- # "reg": "/content/drive/MyDrive/",
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- # }
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  class imgdataset(datasets.GeneratorBasedBuilder):
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  """"""
@@ -33,81 +33,83 @@ class imgdataset(datasets.GeneratorBasedBuilder):
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  ]
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- # def _info(self):
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- # if self.config.name == "train":
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- # features = datasets.Features(
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- # {
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- # "Class_name": datasets.Value("string"),
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- # "file_name": datasets.Value("string"),
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- # "file_id": datasets.Value("string")
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-
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- # }
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- # )
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- # else:
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- # features = datasets.Features(
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- # {
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- # "Class_name": datasets.Value("string"),
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- # "file_name": datasets.Value("string"),
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- # "file_id": datasets.Value("string")
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-
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- # }
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- # )
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- # return datasets.DatasetInfo(
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- # description=_DESCRIPTION,
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- # features=features,
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- # )
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- # def _split_generators(self, dl_manager):
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- # """This function returns the examples in the raw (text) form."""
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- # # urls = _URLS[self.config.name]
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- # # data_dir = dl_manager.download_and_extract(urls)
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- # return [
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- # datasets.SplitGenerator(
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- # name=datasets.Split.TRAIN,
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- # # These kwargs will be passed to _generate_examples
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- # gen_kwargs={
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- # "filepath": os.path.join("/content/drive/MyDrive/", "train_dataset.csv"),
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- # "split": "train",
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- # },
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- # ),
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- # datasets.SplitGenerator(
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- # name=datasets.Split.VALIDATION,
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- # # These kwargs will be passed to _generate_examples
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- # gen_kwargs={
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- # "filepath": os.path.join("/content/drive/MyDrive/", "reg_dataset.csv"),
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- # "split": "reg",
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- # },
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- # ),
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- # ]
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-
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- train = open("/content/drive/MyDrive/train_dataset.csv", "r")
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- train_reader = csv.DictReader(train)
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- # if not os.path.isdir(outpath): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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- # os.makedirs(outpath)
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- for row in train_reader:
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- class_name = f"{row['Class_name']}"
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- file_name = f"{row['file_name']}"
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- url = f"{row['file_id']}"
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- path = os.path.join('./img',class_name,file_name)
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- folder = os.path.join('./img',class_name)
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- if not os.path.isdir(folder): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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- os.makedirs(folder)
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- urllib.request.urlretrieve(url, path)
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-
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- reg = open("/content/drive/MyDrive/reg_dataset.csv", "r")
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- reg_reader = csv.DictReader(reg)
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- # if not os.path.isdir(outpath): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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- # os.makedirs(outpath)
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- for row in reg_reader:
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- class_name = f"{row['Class_name']}"
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- file_name = f"{row['file_name']}"
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- url = f"{row['file_id']}"
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- path = os.path.join('./reg',class_name,file_name)
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- folder = os.path.join('./reg',class_name)
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- if not os.path.isdir(folder): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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- os.makedirs(folder)
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- urllib.request.urlretrieve(url, path)
 
 
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  # def _generate_examples(self, filepath, split):
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  # # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
 
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  # _URL = "./"
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+ _URLS = {
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+ "train": "/content/drive/MyDrive/",
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+ "reg": "/content/drive/MyDrive/",
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+ }
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  class imgdataset(datasets.GeneratorBasedBuilder):
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  """"""
 
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  ]
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+ def _info(self):
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+ if self.config.name == "train":
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+ features = datasets.Features(
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+ {
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+ "Class_name": datasets.Value("string"),
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+ "file_name": datasets.Value("string"),
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+ "file_id": datasets.Value("string")
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+
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+ }
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+ )
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+ else:
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+ features = datasets.Features(
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+ {
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+ "Class_name": datasets.Value("string"),
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+ "file_name": datasets.Value("string"),
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+ "file_id": datasets.Value("string")
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+
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+ }
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+ )
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=features,
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+ )
59
 
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+ def _split_generators(self, dl_manager):
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+ """This function returns the examples in the raw (text) form."""
62
 
63
+ urls = _URLS[self.config.name]
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+ data_dir = dl_manager.download_and_extract(urls)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join("/content/drive/MyDrive/", "train_dataset.csv"),
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+ "split": "train",
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+ },
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={
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+ "filepath": os.path.join("/content/drive/MyDrive/", "reg_dataset.csv"),
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+ "split": "reg",
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+ },
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+ ),
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+ ]
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+ def _download_image(self):
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+
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+
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+ train = open("/content/drive/MyDrive/train_dataset.csv", "r")
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+ train_reader = csv.DictReader(train)
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+ # if not os.path.isdir(outpath): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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+ # os.makedirs(outpath)
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+ for row in train_reader:
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+ class_name = f"{row['Class_name']}"
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+ file_name = f"{row['file_name']}"
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+ url = f"{row['file_id']}"
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+ path = os.path.join('./img',class_name,file_name)
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+ folder = os.path.join('./img',class_name)
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+ if not os.path.isdir(folder): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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+ os.makedirs(folder)
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+ urllib.request.urlretrieve(url, path)
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+
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+ reg = open("/content/drive/MyDrive/reg_dataset.csv", "r")
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+ reg_reader = csv.DictReader(reg)
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+ # if not os.path.isdir(outpath): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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+ # os.makedirs(outpath)
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+ for row in reg_reader:
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+ class_name = f"{row['Class_name']}"
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+ file_name = f"{row['file_name']}"
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+ url = f"{row['file_id']}"
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+ path = os.path.join('./reg',class_name,file_name)
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+ folder = os.path.join('./reg',class_name)
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+ if not os.path.isdir(folder): #폴더가 μ‘΄μž¬ν•˜μ§€ μ•ŠλŠ”λ‹€λ©΄ 폴더 생성
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+ os.makedirs(folder)
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+ urllib.request.urlretrieve(url, path)
113
 
114
  # def _generate_examples(self, filepath, split):
115
  # # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.