Skip to content

Update README.md #3

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update README.md #3

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,5 +3,5 @@ Smart Library to load image Dataset for Convolution Neural Network (Tensorflow/K

Hi are you into Machine Learning/ Deep Learning or may be you are trying to build object recognition in all above situation you have to work with images not 1 or 2 about 40,000 images. Biggest Challenges in Bulding a Neural Network is how do I convert my Image into Numpy array how do I load the Dataset before that there several steps you need to follow like convert each image into Grey Scale and resize image reshaping the Images we know how tedious job is that Good News no more Hassle with this Python Library

Just give the Path to your training Folder and it will Automatically process the data it will convert image into Gray scale and then Resize it if any image is corrupted it will handle that issue as well lets see how to use this Module
Just give the Path to your training Folder and it will Automatically process the data it will convert image into Gray scale and then Resize it if any image is corrupted it will handle that issue as well lets see how to use this Module.