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GUI

GUI stands for graphical user interface. It is a visual representation of communication presented to the user for easy interaction with the machine. It allows users to manipulate elements on the screen using a mouse, a stylus or even a finger. The actions in a GUI are usually performed through direct manipulation of the graphical elements.

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legrostdg
legrostdg commented Jan 9, 2018

~/.config/youtube-dlg should just contain configuration files and not logs (which should go to $XDG_DATA_HOME/youtube-dlg/ ) nor youtube-dl binary (which should go to $XDG_CACHE_HOME).

Please also consider using appdirs instead of hardcoding ~/.config/

PySimpleGUI
klieret
klieret commented May 28, 2019

Type of Issues (Enhancement, Error, Bug, Question)

Bug:

  1. Initialize Window
  2. Show it (window.Read())
  3. Run window.Disable()
  4. The whole desktop environment freezes, nothing is clickable anymore
  5. Change to tty terminal and kill application
  6. Things are normal again

Operating System

Ubuntu 16.04 LTS 64 bit

Python version

Python 3.5.2

PySi

nyanpasu64
nyanpasu64 commented Oct 11, 2020

I just installed Git Cola 3.7 64-bit on Windows 10. The folder in Program Files is 176.2 MB, which is very large, and many of the files are unnecessary.

  • C:\Program Files\git-cola\pkgs\PyQt5\Qt\bin\opengl32sw.dll is 20 megabytes, and the app runs fine with OpenGL software rasterization removed. Same with d3dcompiler_47.dll and libGLESv2.dll.
  • Qt5Quick.dll and Qt5Qml.dll are fairly
samuel-w
samuel-w commented Sep 29, 2020

Is your feature request related to a problem? Please describe.
There is no shell variable to query network metered status. For example, I want to create a backup locally, while also uploading the backup to a generic Internet server. There is no way for me to find out whether the network is metered, without doing some long OS-specific scripting, while Vorta already knows the metered status of

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

  • Updated Sep 26, 2020
  • Python

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

  • Updated Jul 30, 2020
  • Python
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