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nikhilroxtomar / Polyp-Segmentation-using-UNET-in-TensorFlow-2.0

Implementing polyp segmentation using the U-Net and CVC-612 dataset.
https://idiotdeveloper.com/polyp-segmentation-using-unet-in-tensorflow-2/
MIT License
66 stars 31 forks source link

Images are saved as grayscale #4

Closed asifehmad closed 3 years ago

asifehmad commented 3 years ago

Hi Nikhil, thank you for the project. I reproduced the results, everything went well till the end. But I have got the original as a grayscale image at the end in the results folders. I don't know why. Your help will be appreciated in this regard. Thanks, Asif Ahmad

nikhilroxtomar commented 3 years ago

I think the CVC-ClinicDB dataset has been updated with grayscale images. Working with grayscale image should not have any issue. You can use another colonoscopy dataset like Kvasir-SEG https://datasets.simula.no/kvasir-seg/

asifehmad commented 3 years ago

I think the CVC-ClinicDB dataset has been updated with grayscale images. Working with grayscale image should not have any issue. You can use another colonoscopy dataset like Kvasir-SEG https://datasets.simula.no/kvasir-seg/

Thank you, NikhI. I just cross checked the images, they are colorful (RGB). I am trying the code on Google Colab.