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Hi!I trained the model on the ultrasonic grayscale image, since there are only two classes, I changed the code to net = UNet(n_channels=1, n_classes=1, bilinear=True), and when I trained, the loss (ba…
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I think an updated readme will help to see how different components are connected, even if the structure of the project might change. I'll volunteer to do this since it will help me get a better sense…
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## Project Abstract
Modern weather reports are made every morning by sending up a weather balloon into the atmosphere to make a bunch of recordings and then meteorologists who have studied their cr…
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**Issue by [NiaX84](https://github.com/NiaX84)**
_Thu Jul 26 05:15:09 2018_
_Originally opened as https://github.com/ERNICommunity/dust-measurement-network/issues/4_
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**ID:** ProdREQ-03
**Br…
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**Why is this needed**:
Lifelong Learning is an important feature for Sedna, which aims to make the inference robust across various scenarios, e.g., the thermal comfort prediction in different ci…
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Comment project name here so that I can assign with project name and then make PR.
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Hello,
I got the result from predict_no_y.py, and the result .npy file was a Nx3 array (1,2,0 three labels in the trained model). And I have two quetions:
 does this well.
Make sure to add the aforementioned `movingpandas`, as well as [`traja`](https://github.com/traja-team/traja).
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Apologize for the questions about your another significant work...
Since I have no way to contact you separately, I am posting here after seeing the related issue.
I am interested in your another …