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Questions about model training process in TIANCHI #15

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Senwang98 opened this issue Feb 25, 2022 · 0 comments
Open

Questions about model training process in TIANCHI #15

Senwang98 opened this issue Feb 25, 2022 · 0 comments

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@Senwang98
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Senwang98 commented Feb 25, 2022

Hi, @dong03
sorry to disturb you, I find that MVSSNet is baseline model in TIANCHI challenge round1.
I wonder if checkpoint provided is only training on this dataset.
If so, there are all fake images, how you train model in this condition.
By the way, when will MVSSNet's training script is available? (open source when TIANCHI challenge round is over?)


To reproduce this repo, we need to generate edge map first to train edge_loss, but even if we have know cv2.findContours is used, it's still hard to reproduce.
I use default setting in opencv functions, but the edge extraction result is so bad. The normal process of edge extract as follow:

  1. bgr2gray
  2. generate binary image, use cv2.threshold to do this.
  3. cv2.findContours also has some setting.

Considering above these setting unknown, it is hard to reproduce your result.
Can you share some code only about edge map extraction process?
I don't think the disclosure of these pre-processing codes will directly affect your benefit.


wishing for your reply and thanks again.

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