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Hi, Waleed and other experts,
I am using this implementation for the 2018 data science bowl on Kaggle, and most of time, I am running on colab, which has 2 cpu and 1 K80 gpu.
However, …
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I extended Mask RCNN for [Data Science Bowl 2018 ](https://www.kaggle.com/c/data-science-bowl-2018)dataset
I tried to use early stopping having this very bad results.
![val_loss getting lost](ht…
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## 🚀 Feature
Add support for displaying segmentation instance masks.
## Motivation
Many projects, including [`starfish`](https://github.com/spacetx/starfish) and the [2018 kaggle data science b…
kne42 updated
2 years ago
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Hi, I checked your score team is too low althought you used mask rcnn. Does it score use mask rcnn or unet? If it use maskrcnn so I think you have a wrong in encode submission that need to encode ewc…
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(C:\Users\green\Anaconda3\envs\py35) C:\Users\green\Documents\Data\input>python train.py [--base_dir][C:/Users/green/Documen
ts/Data Competitions/Data Science Bowl 2018/input/data/unet_segmentations_…
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Hi,
I'm trying to train my dataset for the Data Science Bowl 2018 competition and I'm having trouble. The loss is always NaN no matter what I try. I know that my data set is structured properly, as…
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Hi @waleedka ,
This was one of the posts today in the competition (copied below). it is about a new normalization technique called Group Normalization. The paper reports that it helps to speed up …
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https://www.kaggle.com/hmendonca/u-net-model-with-submission
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Hello,
Firstly thank you very much for your project. I have a problem about large dataset. I have 10 thousand images and masks.
I can create .npy files. When I run unet.py files with 10 thousand…
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```/Users/dreamflyer/anaconda2/envs/keras/bin/python /Users/dreamflyer/Downloads/vess2ret/test.py
Using Theano backend.
TheanoShapedU-NET
/Users/dreamflyer/Downloads/vess2ret/models.py:59: UserWarn…