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I see in the natives API there are camera create functions. Is it possoble to have multiple cameras running simultaneously to stream for control and capture?
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I have the following model:
```
x_in = Input(shape=(1024,1,2))
x = Permute((3,1,2))(x_in)
x = Conv2D(8 , (7,1), padding='same', name='C1')(x)
x = ReLU(name='C1_relu')(x)
x = Conv2D(16, (7,1), …
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Hello!
I was wondering if there is an example of a 3D Steerable CNN (using R3Conv). Furthermore, Is it possible to use this library to train a model using a tensor of shape (batch, channels, width, …
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Thank you for your excellent work, network design gives me a lot of inspiration.
But there's one thing I never understood. I noticed that the training loss function in the paper only focuses on pixel…
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Hi all,
This is such an awesome review, and i'd love to use it as a basis for teaching, but i've had to jump back-and-forth through sections, as the current structure doesn't flow as naturally for a …
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Hi, Karol-G,
Thanks for your work.
It seems that you have updated gcam_inject.py and modified many parameters. But the demo of 3d segmentation did not update. It is hard to run the demo. On t…
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Hi Danfeng,
can you introduce how to prepare the input data for the HS_LiDAR_CNN? You mentioned "It is worth noting, however, that the patch centered by a pixel is usually used as the input of CNNs …
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Hello,
as mentioned in the description, sklearn is used to split train/val/test data for each dataset. Has anybody tried to train and evaluate C3D model on the split 01 of UCF101? I gave it a try,…
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**Describe the solution you'd like**
Implement a Semantic Segmentation application to detect a free path, for example, to navigate using a camera.
> Semantic mapping can be defined as the proces…
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Hi @pchlap,
I have ran some dosimetric analysis on clinical RTdose (with RTstruct) using your package. The code was nice and smooth. I was able to get the DVH and corresponding metrics. When I comp…