PyQt6 configuration in yaml format providing the most simple script.

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

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

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

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.

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.

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

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

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

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

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
なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモ

FaceDetection-Anti-Spoof-Demo なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモです。 モデルはPINTO_model_zoo/191_anti-spoof-mn3からONNX形式のモデルを使用しています。 Requirement mediapipe

KazuhitoTakahashi 8 Nov 18, 2022
Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

UncertaintyAwareCycleConsistency This repository provides the building blocks and the API for the work presented in the NeurIPS'21 paper Robustness vi

EML Tübingen 19 Dec 12, 2022
A new GCN model for Point Cloud Analyse

Pytorch Implementation of PointNet and PointNet++ This repo is implementation for VA-GCN in pytorch. Classification (ModelNet10/40) Data Preparation D

12 Feb 02, 2022
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

Real-Time Seizure Detection using Electroencephalogram (EEG) This is the repository for "Real-Time Seizure Detection using EEG: A Comprehensive Compar

AITRICS 30 Dec 17, 2022
A universal framework for learning timestamp-level representations of time series

TS2Vec This repository contains the official implementation for the paper Learning Timestamp-Level Representations for Time Series with Hierarchical C

Zhihan Yue 284 Dec 30, 2022
Deploy a ML inference service on a budget in less than 10 lines of code.

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.

1.3k Dec 25, 2022
TICC is a python solver for efficiently segmenting and clustering a multivariate time series

TICC TICC is a python solver for efficiently segmenting and clustering a multivariate time series. It takes as input a T-by-n data matrix, a regulariz

406 Dec 12, 2022
Unofficial PyTorch implementation of SimCLR by Google Brain

Unofficial PyTorch implementation of SimCLR by Google Brain

Rishabh Anand 2 Oct 13, 2021
PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE).

GRACE The official PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE). For a thorough resource collection of self-superv

Big Data and Multi-modal Computing Group, CRIPAC 186 Dec 27, 2022
FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation

FCN_via_Keras FCN FCN (Fully Convolutional Network) is deep fully convolutional neural network architecture for semantic pixel-wise segmentation. This

Kento Watanabe 48 Aug 30, 2022
ArtEmis: Affective Language for Art

ArtEmis: Affective Language for Art Created by Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas Introducti

Panos 268 Dec 12, 2022
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions

gtfs2vec This is a companion repository for a gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions publication. Vis

Politechnika Wrocławska - repozytorium dla informatyków 5 Oct 10, 2022
Learning and Building Convolutional Neural Networks using PyTorch

Image Classification Using Deep Learning Learning and Building Convolutional Neural Networks using PyTorch. Models, selected are based on number of ci

Mayur 126 Dec 22, 2022
[Preprint] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

Chasing Sparsity in Vision Transformers: An End-to-End Exploration Codes for [Preprint] Chasing Sparsity in Vision Transformers: An End-to-End Explora

VITA 64 Dec 08, 2022
PyTorch implementation of Constrained Policy Optimization

PyTorch implementation of Constrained Policy Optimization (CPO) This repository has a simple to understand and use implementation of CPO in PyTorch. A

Sapana Chaudhary 25 Dec 08, 2022
Code of paper "CDFI: Compression-Driven Network Design for Frame Interpolation", CVPR 2021

CDFI (Compression-Driven-Frame-Interpolation) [Paper] (Coming soon...) | [arXiv] Tianyu Ding*, Luming Liang*, Zhihui Zhu, Ilya Zharkov IEEE Conference

Tianyu Ding 95 Dec 04, 2022
Machine Translation Implement By Bi-GRU And Transformer

Seq2Seq Translation Implement By Bidirectional GRU And Transformer In Pytorch Before You Run The Code You should download the data through the link be

He Wang 2 Oct 27, 2021
This is a project based on retinaface face detection, including ghostnet and mobilenetv3

English | 简体中文 RetinaFace in PyTorch Chinese detailed blog:https://zhuanlan.zhihu.com/p/379730820 Face recognition with masks is still robust---------

pogg 59 Dec 21, 2022
a baseline to practice

ccks2021_track3_baseline a baseline to practice 路径可能会有问题,自己改改 torch==1.7.1 pyhton==3.7.1 transformers==4.7.0 cuda==11.0 this is a baseline, you can fi

45 Nov 23, 2022
Repository of our paper 'Refer-it-in-RGBD' in CVPR 2021

Refer-it-in-RGBD This is the repository of our paper 'Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images' in CVPR 2021 Pape

Haolin Liu 34 Nov 07, 2022