Delete EuroSAT.py

EuroSAT.py

@@ -1,181 +0,0 @@
-import os
-import datasets
-import numpy as np
-import tifffile
-import skimage.io as io
-
-from typing import ClassVar
-
-all_band_names = (
-        'B01',
-        'B02',
-        'B03',
-        'B04',
-        'B05',
-        'B06',
-        'B07',
-        'B08',
-        'B8A',
-        'B09',
-        'B10',
-        'B11',
-        'B12',
-    )
-
-rgb_bands = ('B04', 'B03', 'B02')
-
-class EuroSATConfig(datasets.BuilderConfig):
-    BAND_SETS: ClassVar[dict[str, tuple[str, ...]]] = {
-        'all': all_band_names,
-        'rgb': rgb_bands,
-    }
-    """BuilderConfig for EuroSAT"""
-    def __init__(self, bands=BAND_SETS['all'], **kwargs):
-        super(EuroSATConfig, self).__init__(**kwargs)
-        self.bands = bands
-        self.band_indices = [int(all_band_names.index(b)) for b in bands if b in all_band_names]
-
-    # def update(self, **kwargs):
-    #     """Update Config"""
-    #     super().update(**kwargs)
-    #     if 'bands' in kwargs:
-    #         self.band_indices = [int(self.all_band_names.index(b)) for b in self.bands if b in all_band_names]
-
-class EuroSAT(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-    
-    BUILDER_CONFIGS = [
-        EuroSATConfig(
-            name="default",
-            description="Default configuration"
-        ),
-    ]
-    
-    DEFAULT_CONFIG_NAME = "default"
-
-    HEIGHT = WIDTH = 64
-
-    def __init__(self, *args, **kwargs):
-        config = kwargs.pop('config', None)
-        config_keywords = ['bands']
-    
-        if config:
-            if isinstance(config, dict):
-                for key, value in config.items():
-                    if key in config_keywords:
-                        kwargs[key] = value
-                        if key in ['bands']:
-                            kwargs['band_indices'] = [int(all_band_names.index(b)) for b in kwargs['bands'] if b in all_band_names]
-
-
-        self.height = self.HEIGHT
-        self.width = self.WIDTH
-        self.labels = [
-          "AnnualCrop",
-          "Forest", 
-          "HerbaceousVegetation",
-          "Highway",
-          "Industrial",
-          "Pasture",
-          "PermanentCrop",
-          "Residential",
-          "River", 
-          "SeaLake",
-        ]
-        for k, _ in kwargs.items():
-            print(k)
-        super().__init__(*args, **kwargs)
-        self.num_channels = len(self.config.band_indices)
-        print(f"self.num_channels: {self.num_channels}")
-        # if 'config' in kwargs:
-        #     user_config = kwargs['config']
-        #     if isinstance(user_config, dict):
-        #         for key, value in user_config.items():
-        #             if hasattr(self.config, key):
-        #                 setattr(self.config, key, value)
-        #     else:
-        #         raise ValueError("check user_config, it should be a dict")
-        # else:
-        #     raise ValueError("config is not specified in arguments")
-
-        
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features({
-                "image": datasets.Array3D(shape=(len(self.config.band_indices), self.height, self.width), dtype="float32"),
-                "label": datasets.ClassLabel(names=self.labels),
-            }),
-            supervised_keys=("image", "label")
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/yuxuanw8/EuroSAT/resolve/main/EuroSAT.zip") # TODO: check out the correct address for downloading and extracting
-
-        return [
-            datasets.SplitGenerator(
-                name="train",
-                gen_kwargs={
-                    "split_file": os.path.join(data_dir, "eurosat-train.txt"),
-                    "data_dir": os.path.join(data_dir, "EuroSAT"), 
-                },
-            ),
-            datasets.SplitGenerator(
-                name="val",
-                gen_kwargs={
-                    "split_file": os.path.join(data_dir, "eurosat-val.txt"),
-                    "data_dir": os.path.join(data_dir, "EuroSAT"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name="test",
-                gen_kwargs={
-                    "split_file": os.path.join(data_dir, "eurosat-test.txt"),
-                    "data_dir": os.path.join(data_dir, "EuroSAT"),
-                },
-            )
-        ]
-
-    def _generate_examples(self, split_file, data_dir):
-
-        """
-        split_file: the filename that lists all data points
-        data_dir: directory where the actual data is stored
-        """
-
-        """
-        data_dir should be in following structure:
-            - EuroSAT
-                - AnnualCrop
-                    - AnnualCrop_1.tif
-                    - AnnualCrop_2.tif
-                    - ...
-                - Forest
-                    - Forest_1.tif
-                    - FOrest_2.tif
-                    - ...
-                - ...
-        """
-
-        with open(split_file, 'r') as f:
-            for line in f:
-                line = line.strip()
-        
-                file_name = line.replace(".jpg", ".tif")
-                label = file_name.split('_')[0]
-                data_path = os.path.join(data_dir, label, file_name)
-                
-                img = tifffile.imread(data_path)
-
-                # permute img from HxWxC to CxHxW
-                img = np.transpose(img, (2, 0, 1))
-
-                # drop any channels if applicable
-                img = np.take(img, indices=self.config.band_indices, axis=0)
-
-                sample = {
-                    "image": img.astype(np.float32),
-                    "label": self.info.features['label'].str2int(label),
-                }
-
-                yield f"{label}_{file_name}", sample