How to access training images from Google Drive in Colab for deep learning project?

Other Questions Google drive
1

I’m working on a deep learning project in Google Colab using a dogs vs cats dataset. The images are stored in my Google Drive, but I’m having trouble accessing them. Here’s what I’ve done:

  1. Mounted my Google Drive
  2. Confirmed that the folder structure includes a ‘dogs-vs-cats’ folder with train, valid, and test subfolders
  3. Set up paths as follows:
train_path = './dogs-vs-cats/train'
valid_path = './dogs-vs-cats/valid/'
test_path = './dogs-vs-cats/test/'
  1. Applied ImageDataGenerator from Keras:
train_batches = ImageDataGenerator().flow_from_directory(
    directory=train_path, 
    target_size=(224,224), 
    classes=['cat', 'dog'], 
    batch_size=10
)

However, the output indicates that no images were found. I’ve imported all required modules like TensorFlow, Keras, and NumPy. Can someone point out what might be wrong with my file paths and how I can correctly reference the images stored on my Google Drive?

2

I’ve been through this exact scenario before, and it can be frustrating. One thing that often gets overlooked is file permissions. Even if your paths are correct, Colab might not have the necessary permissions to access the files in your Google Drive.

Try running this code to explicitly grant permissions:

from google.colab import auth
auth.authenticate_user()

Also, double-check that your image files are in the correct format (.jpg, .png, etc.) and that there aren’t any hidden files or folders messing things up. Sometimes, system files can sneak in and throw off the image count.

If all else fails, try downloading a small subset of your dataset directly to Colab’s file system and test with that. It’ll help isolate whether the issue is with Drive access or something else in your code.

3

hey there! i had the same issue before. try using the full path instead of relative paths. something like this:

train_path = ‘/content/drive/MyDrive/dogs-vs-cats/train’

make sure ur folder names match exactly. also double check that ur images are actually in those folders. hope this helps!

4

I encountered a similar problem when working with Colab and Google Drive. The issue likely stems from the relative paths you’re using. Try modifying your code to use absolute paths instead. Here’s what worked for me:

from google.colab import drive
drive.mount('/content/drive')

train_path = '/content/drive/MyDrive/dogs-vs-cats/train'
valid_path = '/content/drive/MyDrive/dogs-vs-cats/valid'
test_path = '/content/drive/MyDrive/dogs-vs-cats/test'

Also, ensure your folder structure is correct and that the image files are directly inside the ‘cat’ and ‘dog’ subfolders within each directory. If the issue persists, try printing the contents of the directories to verify the file paths:

import os
print(os.listdir(train_path))

This should help you pinpoint any discrepancies in your file structure or naming conventions.