navjot26 commited on
Commit
5e07269
1 Parent(s): 4c76b41

Update dataset.py

Browse files
Files changed (1) hide show
  1. dataset.py +27 -9
dataset.py CHANGED
@@ -1,18 +1,36 @@
1
  from datasets import load_dataset, Features, ClassLabel, Image
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  # Define features including metadata
4
  features = Features({
5
  'image': Image(),
6
  'label': ClassLabel(names=['apple', 'orange', 'banana', 'phone', 'halfapple', 'applephone', 'fountainpen', 'teacherstudent', 'teacherandstudent'])
7
  })
8
 
9
- # Load the dataset
10
- dataset = load_dataset(
11
- 'path/to/dataset/script',
12
- data_files={
13
- 'metadata': 'metadata.csv',
14
- 'images': 'data/*'
15
- },
16
- features=features
17
- )
18
 
 
1
  from datasets import load_dataset, Features, ClassLabel, Image
2
 
3
+
4
+ def process_data(images_directory, metadata_file):
5
+ data = []
6
+
7
+ # Read the metadata file
8
+ with open(metadata_file, mode='r', encoding='utf-8') as file:
9
+ reader = csv.DictReader(file)
10
+ for row in reader:
11
+ image_path = os.path.join(images_directory, row['image_id'])
12
+ if os.path.exists(image_path):
13
+ # Open the image and convert it to a consistent format (e.g., RGB)
14
+ with Image.open(image_path) as img:
15
+ img = img.convert('RGB')
16
+ data.append({
17
+ 'image': img,
18
+ 'label': row['label']
19
+ })
20
+ else:
21
+ print(f"Image {image_path} not found.")
22
+
23
+ return data
24
+
25
+
26
+
27
+
28
  # Define features including metadata
29
  features = Features({
30
  'image': Image(),
31
  'label': ClassLabel(names=['apple', 'orange', 'banana', 'phone', 'halfapple', 'applephone', 'fountainpen', 'teacherstudent', 'teacherandstudent'])
32
  })
33
 
34
+ data = process_data("/data", "metadata.csv")
35
+ dataset = Dataset.from_dict(data, features=features)
 
 
 
 
 
 
 
36