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We have a Jupyter Notebook that contains the augmentation techniques. But this notebook only processes only one image at a time and the path to the image is also hardcoded. Also, each piece of code has to executed individually. While this is good for visualizing what is happening, it is too cumbersome to change the paths and run each segment of the code for around a 100 images or so when we'll be creating a dataset.
Work done
I have made a python script that just needs an input folder and an output folder. It will read all the images in the input folder, perform all the augmentation techniques on each image and store the images in the output folder.
For this a user just needs to enter the following command:
python GenerateImages.py -i [path to input folder] -o [path to output folder]
I also plan to make the Jupyter notebook better by allowing user to at least give an input image on their own rather than a hardcoded path so that the process of visualizing the changes is also improved.
The text was updated successfully, but these errors were encountered:
yashk2000
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Jun 14, 2020
Current Status
We have a Jupyter Notebook that contains the augmentation techniques. But this notebook only processes only one image at a time and the path to the image is also hardcoded. Also, each piece of code has to executed individually. While this is good for visualizing what is happening, it is too cumbersome to change the paths and run each segment of the code for around a 100 images or so when we'll be creating a dataset.
Work done
I have made a python script that just needs an input folder and an output folder. It will read all the images in the input folder, perform all the augmentation techniques on each image and store the images in the output folder.
For this a user just needs to enter the following command:
I also plan to make the Jupyter notebook better by allowing user to at least give an input image on their own rather than a hardcoded path so that the process of visualizing the changes is also improved.
The text was updated successfully, but these errors were encountered: