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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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We've known for a little while that an ML model can do surprisingly well at inferring PV power at time _t_ from satellite imagery at time _t_ (and even better from a handful of satellite images, centr…
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Hi Clement,
Thanks for translating the tf repo to a pytorch one!
I do have a small question with the 6 DOF pose used in
> https://github.com/ClementPinard/SfmLearner-Pytorch/blob/4e6b7e8b545f…
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The model input is required to be multiples of 14. If the input image dimensions aren’t multiples of 14 (for example, 512 x 640), how should I resize the image? I am currently working on the StereoMIS…
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**Reported by @noaaroland on 27 Mar 2008 21:09 UTC**
This is a reminder to try to do something about this email conversation:
>>>>
>>>>
>>>> * Ansley, Roland: averaging in Z doesn't get a "n…
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Congratulations on achieving this great work! The demo and results are very impressive, and it has been a big hit! I really like the idea of using a quasi-3D representation and ignoring the ambiguitie…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…