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Could you comment on the following? I believe it would help me and potentially future readers:
1. Have you used this loss in a multitask sense? For example, combining segmentation and heat-maps fro…
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Hey there,
great paper and code base, thanks!
The output resolution is 1/8*H x 1/8*W. Do you have any idea how to get better segmentation maps using this approach?
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While studying autoencoder architecture, I discovered that the similar terms "transposed convolution" and "deconvolution" have caused some confusion. I would like to clarify their differences and expl…
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Hi,
I see in the collect_mp.py file you are using the pre-trained MaskRCNN to collect semantic maps for map prediction.
May I know if you tried to use ground truth segmentation (habitat-sim semantic…
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I tried using a modified python code to read the flat file that is generated as part of the QUINT workflow, however, the output is a low-res PNG. What would I need to do in order to get a high-res PNG…
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Is there a way to change the default padding value from 0 to another value for all segmentation mask augmentations without manually changing the default passed values in the library functions?
The …
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Hello, congrats on the release of your fantastic work. I love the fact that you can use language to prompt the segmentation, and we appreciate you citing and comparing against STEGO!
Wanted to qui…
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I use imgaug to augment my data of medical images, and the masks are B&W images. So which mode should I use for my mask?heatmaps or segmentation_maps?
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In SamAutomaticMaskGenerator, I set _points_ Per_ Set_ to 4, I thought the segmentation maps I obtain should not exceed 4 * 4, which is 16, but I obtained 22 feature maps. Why?
My setting is:
> ma…
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Say I have a list of 10 images X and corresponding 10 masks y. I do the following:
```
b = ia.Batch(X, segmentation_maps=S)
g = g = seq.augment_batches([b])
next(g)
```
I get the following…