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`recOrder` is used in scientific experiments where keeping track of the large sets of parameters is essential to both reliable analysis and future reference.
Due to the complex nature of these par…
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I appreciate your great work and i have some question
I want to train the model on my custom data.
here is my steps:
1) i captured some pictures while moving around a stationary object by iphone 14…
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I have imagery taken from a UAV - I don't have any imu data for my images, but I know that it will certainly be pointing straight down and there will be no rotation. Can I provide this to the reconstr…
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Hello,
I try to use the output depth maps of CVP-MVSNet, which is a deep learning network that outputs depth maps of the input pictures as .pfm files. So, I would like to do the fusion of those de…
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I'm tweaking the code to do somewhat of a trivial example: Essentially running any image (in this case a scene, and not a texture), through the AdaIN, and having the style and content be the same imag…
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I want to speed up the reconstruction by breaking up a large image set into smaller ones with some common images and then use 'model_merger' to merge all models. But later I get an error which means t…
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I tried to train this model few days. However, the reconstruction results always abnormal. If there is anyone success to train this model, can you tell me some tips for training?
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I want just to see the prediction of a single image using the following code:
`
# Model reconstruction from JSON file
with open('model_struct.json', 'r') as f:
model = model_from_json(f.read…
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As the metioned in the documentation, the output resampled images will be in size 344x344x127, if the --head flag is enabled.
However, in our case, the output attenuation map is in 244x244x108?
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