Closed jeethesh-pai closed 3 years ago
Hi you can try to turn the grayscale image into a color image by stacking the grayscale image three times along the color channel. Then you can feed the output image into the our network. Hope this helps.
Hi, Thank you for your quicl reply. I tried that but the match is not optimal. Many keypoints are not matched. Is there a way to train with grayscale image so that i can increase the correspondence match?
Yes, you can turn the color images in the provided dataset into gray-scale images and retrain/finetune the model.
Thank you so much replies. I will try training with grayscale images.
Hallo caps team,
I have a doubt on drawing inference on images which are grayscale. Is it possible to get feature descriptor using CAPS network for a grayscale image. I get an error stating the pretrained model weights are incompatible for 1-channel inputs ?
Thanks Jeethesh