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why use the function (filter_db) to filter the difficulty and min_points ? Does it make bad influence to the performance?
def filter_db(self, db_infos):
# 1. filter_by_difficulty
…
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Hello
How are you?
Thanks for contributing to this project.
I found that you used a random crop of images in the training step.
If we random-crop the images, I think that the boxes info should be …
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## 🚀 Feature
**CutMix** augmentation strategy: patches are cut and pasted among training images where the ground truth labels are also mixed proportionally to the area of the patches.
## Motivat…
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Hi, I am trying to merge the PVNet code with your single stage code. As part of training, the images undergo augmentation such as rotation, cropping and scaling. I have applied the corresponding augme…
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Hello,
thanks for cool project.
My images/ground truth images have single bounding box, instead of two bounding boxes. Is it possible to modify code, so that the augmentation works for images …
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Thank you for the amazing work. I am very interested in it and would like to ask some questions about the details.
From the training code it seems that the model is regressing the pose, shape and …
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Hi,
I am trying to reproduce the 59.0 mIOU seen in the paper, but so far, all I can achieve is about 54.3 mIOU.
I wrote a script to convert all of the VOC SegmentationClass ground truth from th…
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Hello, I'm using segcapsbasic and segnetR3 as the model for stroke segmentation of brain image using [ISLES 2017](http://www.isles-challenge.org/ISLES2017/) dataset. I use 25 patient 3D MRI data that …
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I run evaluate.py and get Matches(inform): 90.40, Success 82.3. Are these the upper bound of metric Inform and Success? In some paper, the inform and success rate can exceed 90.40,82.3. In DMAD, und…
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I have 4 channel rgbd images of type float32. How does imgaug work on these images?
Is the depth channel automatically considered as heatmap and augmented and later concatenated?
Thank you