Agile SVG maker for python

Related tags

Deep LearningASVG
Overview

Agile SVG Maker

Need to draw hundreds of frames for a GIF? Need to change the style of all pictures in a PPT? Need to draw similar images with different parameters? Try ASVG!

Under construction, not so agile yet...

Basically aimed at academic illustrations.

Simple Example

from ASVG import *

# A 500x300 canvas
a = Axis((500, 300)) 

# Draw a rectangle on a, at level 1, from (0,0) to (200,100)
# With (5,5) round corner, fill with red color.
rect(a, 1, 0, 0, 200, 100, 5, 5, fill='red')

# Draw a circle on a, at level 3
# Centered (50,50) with 50 radius, fill with blue color.
circle(a, 3, 50, 50, 50, fill='blue')

# Draw this picture to example.svg
draw(a, "example.svg")

Parameterized Sub-image

def labeledRect(
        level: int,
        width: float,
        height: float,
        s: Union[str, TextRepresent],
        font_size: float,
        textShift: Tuple[float, float] = (0, 0),
        font: str = "Arial",
        rx: float = 0,
        ry: float = 0,
        margin: float = 5,
        attrib: Attrib = Attrib(),
        rectAttrib: Attrib = Attrib(),
        textAttrib: Attrib = Attrib(),
        **kwargs):
    e = ComposedElement((width + 2 * margin, height + 2 * margin),
                        level, attrib + kwargs)
    rect(e, 0, margin, margin, width, height, rx, ry, attrib=rectAttrib)

    textX = width / 2 + textShift[0] + margin
    textY = height / 2 + textShift[1] + (font_size / 2) + margin
    text(e, 1, s, textX, textY, font_size, font, attrib=textAttrib)
    return e

a = Axis((300,200))
a.addElement(labeledRect(...))

Nested Canvas

Canvas and Axis

Create a canvas axis with Axis(size, viewport) size=(width, height) is the physical size of the canvas in pixels. viewport=(x, y) is the logical size of the axis, by default its the same of the physical size.

# A 1600x900 canvas, axis range [0,1600)x[0,900)
a = Axis((1600, 900))

# A 1600x900 canva, with normalized axis range[0,1),[0,1)
b = Axis((1600, 900), (1.0, 1.0))

ComposedElement

A composed element is a sub-image.

ComposedElement(size, level, attrib) size=(width, height): the size of the axis of this element. level: the higher the level is, the fronter the composed element is. attrib: the common attributes of this element

Add a composed element into the big canvas:axis.addElement(element, shift) shift=(x,y) is the displacement of the element in the outer axis.

A composed element can have other composed elements as sub-pictures: element.addElement(subElement, shift)

Basic Elements

The basic element comes from SVG. Basicly, every element needs a axis and a level argument. axis can be a Axis or ComposedElement. The bigger the level is, the fronter the element is. level is only comparable when two elements are under the same axis.

# Rectangle
rect(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    x: float, # top left
    y: float,
    width: float,
    height: float,
    rx: float = 0.0, # round corner radius
    ry: float = 0.0,
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Circle
circle(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    cx: float, # center
    cy: float,
    r: float, # radius
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Ellipse
ellipse(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    cx: float, # center
    cy: float,
    rx: float, # radius
    ry: float,
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Straight line
line(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    x1: float, # Start
    y1: float,
    x2: float, # End
    y2: float,
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Polyline
polyline(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    points: List[Tuple[float, float]],
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Polygon
polygon(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    points: List[Tuple[float, float]],
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)
# Path
path(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    d: PathD,
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)

PathD is a sequence of path descriptions, the actions is like SVG's path element. View Path tutorial We use ?To() for captial letters and ?For() for lower-case letters. close() and open() is for closing or opening the path. Example:

d = PathD()
d.moveTo(100,100)
d.hlineFor(90)
d.close()
# Equivilent: d = PathD(["M 80 80", "h 90",  "Z"])

path(a, 0, d)

Text

text(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    s: Union[str, TextRepresent],
    x: float,
    y: float,
    fontSize: int,
    font: str = "Arial",
    anchor: str = "middle",
    attrib: core.Attrib = core.Attrib(),
    **kwargs
)

anchor is where (x,y) is in the text. Can be either start, middle or end.

TextRepresent means formatted text. Normal string with \n in it will be converted into multilines. You can use TextSpan to add some attributes to a span of text.

Examples:

text(
    a, 10,
    "Hello\n???" + \
    TextSpan("!!!\n", fill='#00ffff', font_size=25) +\
    "???\nabcdef",
    30, 30, 20, anchor="start")

Arrow

# Straight arrow
arrow(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    x: float, # Position of the tip
    y: float,
    fromX: float, # Position of the other end
    fromY: float,
    tipSize: float = 10.0,
    tipAngle: float = 60.0,
    tipFilled: bool = True,
    **kwargs
)
# Polyline arrow
polyArrow(
    axis: Union[core.Axis, core.ComposedElement],
    level: int,
    points: List[Tuple[float, float]],
    tipSize: float = 10.0,
    tipAngle: float = 60.0,
    tipFilled: bool = True,
    **kwargs
)

Attributes

Attributes is for customizing the style of the elements.

myStyle = Attrib(
    fill = "#1bcd20",
    stroke = "black",
    stroke_width = "1pt"
)

alertStype = myStyle.copy()
alertStype.fill = "#ff0000"

rect(..., attrib=myStyle)
circle(..., attrib=alertStyle)

The name of the attribute are the same as in SVG elements, except use underline _ instead of dash -

Attributs of ComposedElement applies on <group> element.

For convinent, you can directly write some attributes in **kwargs.

rect(..., fill="red")

# Equivilient
rect(..., attrib=Attrib(fill="red))
Owner
SemiWaker
A student in Peking University Department of Electronic Engineering and Computer Science, Major in Artificial Intelligence.
SemiWaker
Recovering Brain Structure Network Using Functional Connectivity

Recovering-Brain-Structure-Network-Using-Functional-Connectivity Framework: Papers: This repository provides a PyTorch implementation of the models ad

5 Nov 30, 2022
NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows This repo contains the code for the paper Tractable Densit

Layer6 Labs 4 Dec 12, 2022
Generic Event Boundary Detection: A Benchmark for Event Segmentation

Generic Event Boundary Detection: A Benchmark for Event Segmentation We release our data annotation & baseline codes for detecting generic event bound

47 Nov 22, 2022
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

U-GAT-IT — Official PyTorch Implementation : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Imag

Hyeonwoo Kang 2.4k Jan 04, 2023
Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

2017 VQA Challenge Winner (CVPR'17 Workshop) pytorch implementation of Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challeng

Mark Dong 166 Dec 11, 2022
Fast Scattering Transform with CuPy/PyTorch

Announcement 11/18 This package is no longer supported. We have now released kymatio: http://www.kymat.io/ , https://github.com/kymatio/kymatio which

Edouard Oyallon 289 Dec 07, 2022
face property detection pytorch

This is the face property train code of project face-detection-project

i am x 2 Oct 18, 2021
Graph parsing approach to structured sentiment analysis.

Fine-grained Sentiment Analysis as Dependency Graph Parsing This repository contains the code and datasets described in following paper: Fine-grained

Jeremy Barnes 36 Dec 12, 2022
AI-Fitness-Tracker - AI Fitness Tracker With Python

AI-Fitness-Tracker We have build a AI based Fitness Tracker using OpenCV and Pyt

Sharvari Mangale 5 Feb 09, 2022
Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection

DDMP-3D Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection, a paper on CVPR2021. Instroduction T

Li Wang 32 Nov 09, 2022
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md

Chi Bui 113 Dec 29, 2022
Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification

Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification Suncheng Xiang Shanghai Jiao Tong University Over

SunchengXiang 68 Dec 13, 2022
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

LiDAR-MOS: Moving Object Segmentation in 3D LiDAR Data This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learn

Photogrammetry & Robotics Bonn 394 Dec 29, 2022
Make your own game in a font!

Project structure. Included is a suite of tools to create font games. Tutorial: For a quick tutorial about how to make your own game go here For devel

Michael Mulet 125 Dec 04, 2022
TensorLight - A high-level framework for TensorFlow

TensorLight is a high-level framework for TensorFlow-based machine intelligence applications. It reduces boilerplate code and enables advanced feature

Benjamin Kan 10 Jul 31, 2022
[ICCV 2021 Oral] Deep Evidential Action Recognition

DEAR (Deep Evidential Action Recognition) Project | Paper & Supp Wentao Bao, Qi Yu, Yu Kong International Conference on Computer Vision (ICCV Oral), 2

Wentao Bao 80 Jan 03, 2023
EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation.

This repository contains data and code for our EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation. Please contact me at

9 Oct 28, 2022
TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

Microsoft 1.3k Dec 30, 2022
Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

Anomaly Detection in Multi-Agent Trajectories for Automated Driving This is the official project page including the paper, code, simulation, baseline

12 Dec 02, 2022
Final project code: Implementing MAE with downscaled encoders and datasets, for ESE546 FA21 at University of Pennsylvania

546 Final Project: Masked Autoencoder Haoran Tang, Qirui Wu 1. Training To train the network, please run mae_pretraining.py. Please modify folder path

Haoran Tang 0 Apr 22, 2022