PyQt6 configuration in yaml format providing the most simple script.

Related tags

Deep Learningyamlpyqt5pyqt6
Overview

PyamlQt（ぴゃむるきゅーと）

PyPI version

PyQt6 configuration in yaml format providing the most simple script.

Requirements

  • yaml
  • PyQt6, ( PyQt5 )

Installation

pip install PyamlQt

Demo

python3 examples/chaos.py

Template

See examples/simple_gui.py.

import sys
import os

from pyamlqt.create_widgets import create_widgets
import pyamlqt.qt6_switch as qt6_switch

qt6_mode = qt6_switch.qt6

if qt6_mode:
    from PyQt6.QtWidgets import QApplication, QMainWindow
else:
    from PyQt5.QtWidgets import QApplication, QMainWindow

YAML = os.path.join(os.path.dirname(__file__), "../yaml/chaos.yaml")

class MainWindow(QMainWindow):
    def __init__(self):
        self.number = 0
        super().__init__()

        # geometry setting ---
        self.setWindowTitle("Simple GUI")
        self.setGeometry(0, 0, 800, 720)
        
        # Template ==========================================
        self.widgets, self.stylesheet = self.create_all_widgets(YAML)
        for key in self.widgets.keys():
            self.widgets[key].setStyleSheet(self.stylesheet[key])
        # ==============================================

        # --- Your code ----
        # -*-*-*-*-*-*-*-*-*
        # -----------------
        
        self.show()

    # Template ==========================================
    def create_all_widgets(self, yaml_path: str) -> dict:
        import yaml
        widgets, stylesheet_str = dict(), dict()
        with open(yaml_path, 'r') as f:
            self.yaml_data = yaml.load(f, Loader=yaml.FullLoader)
        
            for key in self.yaml_data:
                data = create_widgets.create(self, yaml_path, key, os.path.abspath(os.path.dirname(__file__)) + "/../")
                widgets[key], stylesheet_str[key] = data[0], data[1]

        return widgets, stylesheet_str
    # ==============================================

if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = MainWindow()
    # sys.exit(app.exec_())
    sys.exit(app.exec())

Elements (dev)

In yaml, you can add the following elements defined in PyQt.Widgets This may be added in the future.

  • pushbutton : definition of QPushButton
  • qlabel : definition of QLabel
  • qlcdnumber : definition of QLCDNumber
  • qprogressbar : definition of QProgressBar
  • qlineedit : definition of QLineEdit
  • qcheckbox : definition of QCheckbox
  • qslider : definition of QSlider
  • qspinbox : definition of QSpinBox
  • qcombobox : definition of QCombobox
  • image : definition of QLabel (using image path)
  • stylesheet : definition of Stylesheet (define as QLabel and setHidden=True)

YAML format

PyamlQt defines common elements for simplicity. Not all values need to be defined, but if not set, default values will be applied

key: # key name (Required for your scripts)
  type: slider # QWidgets
  x_center: 500 # x center point
  y_center: 550 # y center point
  width: 200 # QWidgets width
  height: 50 # QWidgets height
  max: 100 # QObject max value
  min: 0 # QObject min value
  default: 70 # QObject set default value
  text: "Slider" # Text
  font_size: 30 # Text size [px]
  font_color: "#ff0000" # Text color
  font: "Ubuntu" # Text font
  font_bold: false # bold-text option
  items: # Selectable items( Combobox's option )
    - a
    - b
    - c

PyQt5 Mode

If you want to use PyQt5, you have to change the qt6_switch.py file.

  • Open the file and change the qt6_mode variable to False.
  • pip3 install PyQt5
  • pip3 install -v -e .
You might also like...
Hi Guys, here I am providing examples, which will help you in Lerarning Python

LearningPython Hi guys, here I am trying to include as many practice examples of Python Language, as i Myself learn, and hope these will help you in t

null 4 Feb 3, 2022
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

NVIDIA Merlin NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs. It enables data scientists, machine

null 419 Jan 3, 2023
phylotorch-bito is a package providing an interface to BITO for phylotorch

phylotorch-bito phylotorch-bito is a package providing an interface to BITO for phylotorch Dependencies phylotorch BITO Installation Get the source co

Mathieu Fourment 2 Sep 1, 2022
arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.
arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

Andrej 671 Dec 31, 2022
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

ManimML ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

null 259 Jan 4, 2023
Sequential Model-based Algorithm Configuration

SMAC v3 Project Copyright (C) 2016-2018 AutoML Group Attention: This package is a reimplementation of the original SMAC tool (see reference below). Ho

AutoML-Freiburg-Hannover 778 Jan 5, 2023
My personal Home Assistant configuration.

About This is my personal Home Assistant configuration. My guiding princile is to have full local control of all my devices. I intend everything to ru

Chris Turra 13 Jun 7, 2022
Interactive Terraform visualization. State and configuration explorer.
Interactive Terraform visualization. State and configuration explorer.

Rover - Terraform Visualizer Rover is a Terraform visualizer. In order to do this, Rover: generates a plan file and parses the configuration in the ro

Tu Nguyen 2.3k Jan 7, 2023
Gin provides a lightweight configuration framework for Python

Gin Config Authors: Dan Holtmann-Rice, Sergio Guadarrama, Nathan Silberman Contributors: Oscar Ramirez, Marek Fiser Gin provides a lightweight configu

Google 1.7k Jan 3, 2023
Releases(v0.3.0)

  • v0.3.0(Apr 28, 2022)

    Japanese

    PyamlQtはGUIデザイン初心者のためのGUI定義フォーマットです。コントリビューション大歓迎です！

    しばらくはAPIの破壊的変更が行われる可能性があります。

    変更点

    • 新しいモジュールPyamlQtWindow
      • 初期化には引数が必要です。（README.mdを読んでください）
      • デモプログラムがとてもシンプルになりました。

    English

    PyamlQt is a GUI definition format for GUI design beginners. Contributions are welcome!

    There is a possibility of destructive changes to the API for the time being.

    Changes

    • New module PyamlQtWindow.
      • Arguments are required for initialization. (Please read README.md)
      • The demo program is now very simple.
    import sys
import os

from pyamlqt.mainwindow import PyamlQtWindow
from PyQt6.QtWidgets import QApplication

YAML = os.path.join(os.path.dirname(__file__), ". /yaml/chaos.yaml")

class MainWindow(PyamlQtWindow):
    def __init__(self):
        self.number = 0
        super(). __init__("title", 0, 0, 800, 720, YAML)
        self.show()

if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = MainWindow()
    sys.exit(app.exec())
    Source code(tar.gz)
    Source code(zip)

  • v0.2.0(Apr 13, 2022)

    Japanese

    PyamlQtはGUIデザイン初心者のためのGUI定義フォーマットです。コントリビューション大歓迎です！

    しばらくはAPIの破壊的変更が行われる可能性があります。

    変更点

    • rect要素とstyle要素を追加し、stylesheetの仕様が大きく変更されました。
    • 複数のyamlからのロードをサポートします。パスは絶対パスを指定するか、GitHubなどのソースコードへのURL(raw.githubusercontent.com に続くURL)を指定してください。
      • URL指定する場合は~/.cache/pyamlqt/yaml以下にyamlがダウンロードされます。
      • ロード先のyamlファイルで同じファイル名・同じキー名を指定しないでください。再帰的にロードされてメモリを消費し続けます。

    English

    PyamlQt is a GUI definition format for GUI design beginners. Contributions are welcome!

    The API may undergo destructive changes for a while.

    Changes

    • The specification of stylesheet has been significantly changed with the addition of the rect and style elements.
    • Support for loading from multiple yaml files. Paths should be absolute paths or URLs to source code such as GitHub (URLs following raw.githubusercontent.com).
      • If you specify a URL, the yaml will be downloaded under ~/.cache/pyamlqt/yaml.
      • Do not specify the same file name and the same key name in the yaml file to be loaded. They will be loaded recursively and continue to consume memory.
    Source code(tar.gz)
    Source code(zip)
Owner
Ar-Ray
1st grade of National Institute of Technology(=Kosen) student. Associate degree, Hatena Blogger
Ar-Ray
GitHub Repository https://pypi.org/project/PyamlQt
Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"

ood-text-emnlp Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them" Files fine_tune.py is used to finetune the GPT-2 mo

Udit Arora 19 Oct 28, 2022
The implementation of the lifelong infinite mixture model

Lifelong infinite mixture model 📋 This is the implementation of the Lifelong infinite mixture model 📋 Accepted by ICCV 2021 Title : Lifelong Infinit

Fei Ye 5 Oct 20, 2022
NNR conformation conditional and global probabilities estimation and analysis in peptides or proteins fragments

NNR and global probabilities estimation and analysis in peptides or protein fragments This module calculates global and NNR conformation dependent pro

0 Jul 15, 2021
Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.

Batch Soft-DTW(Dynamic Time Warping) in TensorFlow2 including forward and backward computation Custom TensorFlow2 implementations of forward and backw

19 Aug 30, 2022
A collection of educational notebooks on multi-view geometry and computer vision.

Multiview notebooks This is a collection of educational notebooks on multi-view geometry and computer vision. Subjects covered in these notebooks incl

Max 65 Dec 09, 2022
Container : Context Aggregation Network

Container : Context Aggregation Network If you use this code for a paper please cite: @article{gao2021container, title={Container: Context Aggregati

AI2 47 Dec 16, 2022
Web service for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation based on OpenFace 2.0

OpenGaze: Web Service for OpenFace Facial Behaviour Analysis Toolkit Overview OpenFace is a fantastic tool intended for computer vision and machine le

Sayom Shakib 4 Nov 03, 2022
Simple Tensorflow implementation of "Adaptive Convolutions for Structure-Aware Style Transfer" (CVPR 2021)

AdaConv — Simple TensorFlow Implementation [Paper] : Adaptive Convolutions for Structure-Aware Style Transfer (CVPR 2021) Note This repository does no

Junho Kim 26 Nov 18, 2022
Acoustic mosquito detection code with Bayesian Neural Networks

HumBugDB Acoustic mosquito detection with Bayesian Neural Networks. Extract audio or features from our large-scale dataset on Zenodo. This repository

31 Nov 28, 2022
(CVPR 2021) Lifting 2D StyleGAN for 3D-Aware Face Generation

Lifting 2D StyleGAN for 3D-Aware Face Generation Official implementation of paper "Lifting 2D StyleGAN for 3D-Aware Face Generation". Requirements You

Yichun Shi 66 Nov 29, 2022
Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"

Evolving Search Space for Neural Architecture Search Usage Install all required dependencies in requirements.txt and replace all ..path/..to in the co

Yuanzheng Ci 10 Oct 24, 2022
Boosted neural network for tabular data

XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co

Tushar Sarkar 175 Jan 04, 2023
Code implementation of Data Efficient Stagewise Knowledge Distillation paper.

Data Efficient Stagewise Knowledge Distillation Table of Contents Data Efficient Stagewise Knowledge Distillation Table of Contents Requirements Image

IvLabs 112 Dec 02, 2022
Dados coletados e programas desenvolvidos no processo de iniciação científica

Iniciacao_cientifica_FAPESP_2020-14845-6 Dados coletados e programas desenvolvidos no processo de iniciação científica Os arquivos .py são os programa

1 Jan 10, 2022
A Tensorfflow implementation of Attend, Infer, Repeat

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models This is an unofficial Tensorflow implementation of Attend, Infear, Repeat (AIR)

Adam Kosiorek 82 May 27, 2022
A computational optimization project towards the goal of gerrymandering the results of a hypothetical election in the UK.

A computational optimization project towards the goal of gerrymandering the results of a hypothetical election in the UK.

Emma 1 Jan 18, 2022
🏖 Keras Implementation of Painting outside the box

Keras implementation of Image OutPainting This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. So

Bendang 1.1k Dec 10, 2022
High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models arXiv | BibTeX High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach*, Andreas Blattmann*, Dominik Lorenz

CompVis Heidelberg 5.6k Dec 30, 2022
Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

RealTime Sign Language Detection using Action Recognition Approach Real-Time Sign Language is commonly predicted using models whose architecture consi

Rishikesh S 15 Aug 20, 2022
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

livelossplot Don't train deep learning models blindfolded! Be impatient and look at each epoch of your training! (RECENT CHANGES, EXAMPLES IN COLAB, A

Piotr Migdał 1.2k Jan 08, 2023