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NewDataset.py

@@ -6,7 +6,7 @@ import zipfile
 
 class NewDataset(datasets.GeneratorBasedBuilder):
 	def _info(self):
-		return datasets.DatasetInfo(features=datasets.Features({'image':datasets.Image(),'label':datasets.Value('string')}))
+		return datasets.DatasetInfo(features=datasets.Features({'image':datasets.Image(),'label': datasets.features.ClassLabel(names=['dogs', 'cats'])}))
 
 	def extract_all(self, dir):
 		zip_files = glob(dir+'/**/**.zip', recursive=True)
@@ -25,9 +25,14 @@ class NewDataset(datasets.GeneratorBasedBuilder):
 	def _split_generators(self, dl_manager):
 		url = [os.path.abspath(os.path.expanduser(dl_manager.manual_dir))]
 		downloaded_files = dl_manager.download_and_extract(url)
-		return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepaths':{'inputs':sorted(glob(downloaded_files[0]+'/data/**.png')),'targets1':sorted(glob(downloaded_files[0]+'/data/**.txt')),} })]
+		return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepaths':{'inputs':sorted(glob(downloaded_files[0]+'/data/**/**.png')),} })]
 
 
+	def get_label_from_path(self, labels, label):
+		for l in labels:
+			if l == label:
+				return label
+
 	def read_image(self, filepath):
 		if filepath.endswith('.jpg') or filepath.endswith('.png'):
 			raw_data = {'bytes':[filepath]}
@@ -39,13 +44,11 @@ class NewDataset(datasets.GeneratorBasedBuilder):
 		_id = 0
 		for i,filepath in enumerate(filepaths['inputs']):
 			df = self.read_image(filepath)
-			dfs = [df] 
-			dfs.append(self.read_image(filepaths['targets1'][i]))
-			df = pd.concat(dfs, axis = 1)
-			if len(df.columns) != 2:
+			if len(df.columns) != 1:
 				continue
-			df.columns = ['image', 'label']
+			df.columns = ['image']
+			label = self.get_label_from_path(['dogs', 'cats'], filepath.split('/')[-2])
 			for _, record in df.iterrows():
-				yield str(_id), {'image':record['image'],'label':record['label']}
+				yield str(_id), {'image':record['image'],'label':str(label)}
 				_id += 1