How to produce boxes_padded?

[fengyepiaoli]

Hi!

I have run your run_demo.m successfully and got the final EDeconvNet_CRF result. I am studying your method now, and I have two questions.

Qustion 1:
Though I have downloaded the code producing edgebox object proposal and got the object proposal, I still cannot figure out how the edgebox_cached produces .
Qustion 2:
I cannot find out why there are negative coordinates in object proposals in the stage-2 training. The negative coordinates is in "stage_2_train_imgset/train.txt" or "stage_2_train_imgset/val.txt", part of them are in the following.

/VOC2012_SEG_AUG/images/2009_004507.png /VOC2012_SEG_AUG/segmentations/2009_004507.png 267 -20 517 230
/VOC2012_SEG_AUG/images/2009_002527.png /VOC2012_SEG_AUG/segmentations/2009_002527.png 88 -24 387 275
/VOC2012_SEG_AUG/images/2009_003806.png /VOC2012_SEG_AUG/segmentations/2009_003806.png 34 -116 542 392
/VOC2012_SEG_AUG/images/2007_009245.png /VOC2012_SEG_AUG/segmentations/2007_009245.png -30 -92 548 486

Thank you!

Lili Zhang

[hussamullah]

Were you able to find the answers to the questions you posted? And how is the FCN trained if you want to train it on your own data? Can we use just the trained Deconvnet for segmentation?