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Hi, thank for your great work. In your paper, the part 'Tests on images outside our dataset' display the result by the iphonex image.
But when I used the pre-trained model in the iphone7 image data. the inference result is bad.
input Y channel is:
output Y channel is:
The text was updated successfully, but these errors were encountered:
Do not know how you implement this. The model we provide can deal with the image captured by iphone X and pixel phone. We do not test the image captured by iphone 7.
You can use our dataset (version 3) to train a baseline network and test the image from iphone 7.
Hi, thank for your great work. In your paper, the part 'Tests on images outside our dataset' display the result by the iphonex image. But when I used the pre-trained model in the iphone7 image data. the inference result is bad. input Y channel is:
Hi, thank for your great work. In your paper, the part 'Tests on images outside our dataset' display the result by the iphonex image.
![iphonex](https://user-images.githubusercontent.com/23131833/67555683-5b1d6280-f744-11e9-8be3-c172aaa5bfb8.png)
![img_y](https://user-images.githubusercontent.com/23131833/67550362-e0027f00-f738-11e9-99a1-2b2488593ddf.png)
But when I used the pre-trained model in the iphone7 image data. the inference result is bad.
input Y channel is:
output Y channel is:
![out_img](https://user-images.githubusercontent.com/23131833/67550370-ea247d80-f738-11e9-9550-98fb070d2337.png)
The text was updated successfully, but these errors were encountered: