Increase the resolution of training images in DUTS-TR without scaling - Githubissues

swoook / ddrnet

Cloned from chenjun2hao/DDRNet (https://github.com/chenjun2hao/DDRNet.pytorch).

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Increase the resolution of training images in DUTS-TR without scaling #4

Closed swoook closed 3 years ago

swoook commented 3 years ago

Is your feature request related to a problem? Please describe.

We usually scale images when we need to increase the resolution
However, upscaling can bring pixelation
It would be critical to saliency masks
And the size of the images in the DUTS-TR is distributed like:

Assume we'd like to maintain aspect ratios while increasing the resolution to 448 x 448
Then the scale factors should be small (1.12 at maximum)
If so, can we just use padding?

Describe the solution you'd like

Increase the resolution with padding, not scaling

Describe alternatives you've considered

None

Additional context

DUTS-TR is a dataset for salient object detection
We'd like to train DDRNet on this dataset for real-time salient object detection
Refer to #6 from swoook/ucnet (github) for more details