New answers tagged computer-vision
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Do GANs have constant running time?
The question is a bit ill defined... usually when we want some bound on the running time, we have to say with respect to what
For example:
sorting is O(nlogn) wrt the size of the input
Transformer is ...
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The training process of a conditional GAN
I assume you mean how to label the image and class inputs since the discriminator can reasonably output either "real" or "fake" labels for either of those inputs, and you generally ...
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How to accurately detect grid cell boundaries in Python image processing?
Solved by just changing 1000 to a higher value (in my case 3000).
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Is it possible to build a convolutional autoencoder with fully connected bottleneck with low dimension?
In general, very simple datasets like MNIST and Fashion-MNIST can be encoded in just two dimensions, without sacrificing too much reconstruction quality.
For more complex data, this is often neither ...
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In the conditional GAN (cGAN) architecture, why does the discriminator need conditional variable?
Because otherwise there is no conditioning... consider the case where you condition the generator but not the discriminator: given an image and a label, the generator proposes an image, which will be ...
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How to run our python scripts utilizing our device's GPU?
That is going to depend on the library you use. In general, the term you should google is Cuda along with your GPU. In TensorFlow I have used things like this
and I would recommend looking here and ...
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What kind of algorithm or approach can I use to find a specific type of object in an image?
If your object is relatively small in the entire image, Yolo version 2 could be one of choices. Here is one discussion in Reddit.
If you want to see other methods, please check out list of codes from ...
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