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I am able to forward a single image with `f1 = model.get_feature(img)` in test.py in the deploy folder.
Now, I would like to process a batch of images.
I tried with `numpy.stack([img ... img])` obta…
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I was looking into implementing the `triangular` operator in Chromium's CoreML backend when I realized... all three of Chromium's WebNN backends have to emulate the `triangular` operator using a mask!…
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I was wondering if I could ask you a question. I submitted my results to the 4D HCI dataset website almost three weeks ago, but I haven't received any validation results yet. I was wondering how long …
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**Describe the bug**
Difficult to reproduce, but moving cursor off the edge of MDHisto workspace produces an error
**To Reproduce**
(1) Make workspace
```
ws = CreateMDWorkspace(Dimensions='3',…
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### Increasing access
As discussed in #6527:
Using another library would mean a better documented and managed library with more features for p5.js, but it'll also be more performant, and we could ev…
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The documentation says this library only supports kernels working with 1,2,3D arrays. How hard it would be to support 4D arrays?
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For example, the T1w images in [ds000210](https://openneuro.org/datasets/ds000210/versions/00002) are 4D and need to be reduced to 3D before fMRIPrep can be run on them. Should the modified dataset be…
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We do have `colorview`/`channelview`/`rawview` to build these functionalities, but from a user's perspective, it would be much much easier to understand and use things like:
- `to_matlab`/`from_mat…
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For the moment, tests are ran on a smoothed anatomical image and a 4D functional with a few time points because we can not put on github heavy data.
I propose to have a dataset of inhouse real images…
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After a few intents, i figured that exif data is not coming in the second parameter of the callback function, its coming on a third one :
had to do it like this
pathExifMapper("./images/image01.j…