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tauri

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p32929
p32929 commented Apr 10, 2022

Describe the bug

Hello, first of all, thank you for making and maintaining Tauri.
So, 've been making a test app using Tauri. but it seems, the CTRL/COMMAND + Z keyboard shortcut ( along with many other keyboard shortcuts ) stops working inside the app.

I also have added a menu like this one: https://github.com/windht/watcher/blob/bd929e555319c3e6c4565a2631b63a04918c03fb/src-tauri/src/m

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community-edition

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VMware Tanzu Community Edition is a full-featured, easy to manage Kubernetes platform for learners and users on your local workstation or your favorite cloud. Tanzu Community Edition enables the creation of application platforms: infrastructure, tooling, and services providing location to run applications and enable positive developer experiences.

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jax

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gianlucadetommaso
gianlucadetommaso commented Dec 16, 2021

It would be great if you could add the JAX equivalent of scipy.stats.mode, which is currently unavailable.

A use case may be a ML classification task with ensembles, where multiple models give different predictions, and we are interested in finding the most common one.

As an example, consider predictions to be a two-dimensional DeviceArray of predictions, with
shape = (number of model

enhancement good first issue contributions welcome

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123xian123
123xian123 commented May 19, 2022

1、在使用PPOCRLabel进行图像标注的时候,图像上有很多文字有识别的需求,但有些位置的文字没有识别的需求,那么在进行标注的时候是否还需要对没有识别需求位置的文字进行标注呢?
2、在使用PPOCRLabel进行自动标注后,有些位置的文字被标注上了,但是还额外框住了其他不是文字的图案(软件的文字识别能够识别到正确的文字,但是这种情况出现的次数很多),还是否需要对标注框进行调整,来去除掉非文字的图案?不去除的话是否对最终文字识别网络模型造成影响呢?

good first issue
black

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ichard26
ichard26 commented Apr 14, 2022

Perhaps we should document this issue in the FAQ? Using pre-commit with Black is pretty common (and it's not always instantly clear it passes all of the files to the hook directly bypassing any file discovery the hook may implement). I'd suggest pre-commit's exclude configurations first, and then black's force-exclude.

_Originally posted by @ichard26 in psf/black#3013

good first issue T: documentation C: integrations C: file collection

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vfdev-5
vfdev-5 commented Jun 11, 2022

Currently, there are following warnings when running tests:

test/test_models.py::test_quantized_classification_model[googlenet]
  /root/project/torchvision/models/googlenet.py:47: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11

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