Apply a perspective transformation to a raster image inside Inkscape (no need to use an external software such as GIMP or Krita).

Overview

Raster Perspective

Apply a perspective transformation to bitmap image using the selected path as envelope, without the need to use an external software to transform the image.

Installation:

On Linux:

cd $HOME/.config/inkscape/extensions
git clone https://github.com/s1291/InkRasterPerspective.git
  • Open Inkscape (if it is already open, close then re-open it) and you should find the extension under: Extensions > Raster Perspective > Perspective

On Windows:

  • Download the most recent version (direct link: zip)
  • Extract it and copy the files imagePerspective.py and imagePerspective.inx to C:\Program Files\Inkscape\share\inkscape\extensions

How to use

(This extension was tested with both Inkscape 1.1.1 and 1.2-dev on GNU/Linux Ubuntu 20.04.3)

  1. Select the raster image and the quadrangle path (envelope) . Make sure the envelope nodes are ordered as follows:

order of enveloppe nodes

For more details on how to find the nodes order for a path, check out this post.

  1. Extensions > Raster Perspective > Perspective

See below:

How to use the extension

Author

Samir OUCHENE, 2021-2022

All code is licensed under the GNU General Public License version 3. See the license file for details.

You might also like...
Applicator Kit for Modo allow you to apply Apple ARKit Face Tracking data from your iPhone or iPad to your characters in Modo.

Applicator Kit for Modo Applicator Kit for Modo allow you to apply Apple ARKit Face Tracking data from your iPhone or iPad with a TrueDepth camera to

Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Datset)

Graphlevel-SSL Overview Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Dataset). It is unified framework to co

Apply our monocular depth boosting to your own network!
Apply our monocular depth boosting to your own network!

MergeNet - Boost Your Own Depth Boost custom or edited monocular depth maps using MergeNet Input Original result After manual editing of base You can

Apply AnimeGAN-v2 across frames of a video clip

title emoji colorFrom colorTo sdk app_file pinned AnimeGAN-v2 For Videos 🔥 blue red gradio app.py false AnimeGAN-v2 For Videos Apply AnimeGAN-v2 acro

IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.
IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL.

IJON SPACE EXPLORER IJON is an annotation mechanism that analysts can use to guide fuzzers such as AFL. Using only a small (usually one line) annotati

External Attention Network

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper : https://arxiv.org/abs/2105.02358 Jittor code will come soon

External Attention Network

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper : https://arxiv.org/abs/2105.02358 EAMLP will come soon Jitto

VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation
VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation

VID-Fusion VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation Authors: Ziming Ding , Tiankai Yang, Kunyi Zhan

[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

CLNER The code is for our ACL-IJCNLP 2021 paper: Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning CLNER is a

Comments
  • Inkscape 1.2.1: PIL.UnidentifiedImageError: cannot identify image file if image is linked instead of embedded.

    Inkscape 1.2.1: PIL.UnidentifiedImageError: cannot identify image file if image is linked instead of embedded.

    Since I used a quite old version in issue #3, I thought I'd better upgrade to the latest version of Inkscape. Now I get this error:

    Traceback (most recent call last): File "C:\Program Files\Inkscape\share\inkscape\extensions\imagePerspective.py", line 179, in imagePerspective.run() File "C:\Program Files\Inkscape\share\inkscape\extensions\inkex\base.py", line 231, in run self.save_raw(self.effect()) File "C:\Program Files\Inkscape\share\inkscape\extensions\imagePerspective.py", line 123, in effect orig_image = PIL_Image.open(io.BytesIO(img_data)) File "C:\Program Files\Inkscape\lib\python3.10\site-packages\PIL\Image.py", line 3147, in open raise UnidentifiedImageError( PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x000001ca3022c900>

    My image is a 1314x2592 pixel 24 bit PNG file with a size of 6.99 MB, if that matters. Same error for a 3072x2048 pixel 8 bit BMP file with a size of 6 MB.

    The problem disappears if the file is embedded instead of linked. image

    opened by WelliSolutions 10
  • Inkscape 1.0.2-2: Your selection must contain an image and a path with at least 4 points.

    Inkscape 1.0.2-2: Your selection must contain an image and a path with at least 4 points.

    I tried the extension with Inkscape 1.0.2-2 on Windows 10 and I got the error message:

    Your selection must contain an image and a path with at least 4 points.

    I'm 100% sure I do the steps correctly. Here's how my selection looks like when I invoke the command.

    image

    I don't know how to debug the extension in Inkscape, but I have debugging skills in general. Maybe I just need a pointer on how to enable extension debugging.

    opened by WelliSolutions 2
  • Image distorted when resized in a non-uniform way (aspect ratio changed)

    Image distorted when resized in a non-uniform way (aspect ratio changed)

    First of all thanks for this awesome extension. This is exactly what I need.

    The following does not happen for all images. I have not yet identified criteria when it happens or when it doesn't.

    Using commit https://github.com/s1291/InkRasterPerspective/commit/897d8eb4532eac2032d4dc17f8c30fe4c3b053fe which fixes #4 so I can use linked images.

    I start with a linked image like this 1280x960 pixel 24 bit 3.5 MB BMP file:

    image

    and I get this result

    image

    Note the lower right corner which doesn't match the path.

    opened by WelliSolutions 2
  • Not working on windows - issues with deconstructing self.svg.selection and uuto unit

    Not working on windows - issues with deconstructing self.svg.selection and uuto unit

    Using this package on windows had to fix this error.

    issue:

    will not deconstruct the_image_node, envelope_node = self.svg.selection error of missing expected atribute units when calling unit_to_vp

    Created fix and will submit.

    Thanks for the excellent package.

    needs info 
    opened by cia05rf 5
Releases(v1.0.1)
Owner
s.ouchene
s.ouchene
UCSD Oasis platform

oasis UCSD Oasis platform Local project setup Install Docker Compose and make sure you have Pip installed Clone the project and go to the project fold

InSTEDD 4 Jun 16, 2021
A short code in python, Enchpyter, is able to encrypt and decrypt words as you determine, of course

Enchpyter Enchpyter is a program do encrypt and decrypt any word you want (just letters). You enter how many letters jumps and write the word, so, the

João Assalim 2 Oct 10, 2022
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers

EntityQuestions This repository contains the EntityQuestions dataset as well as code to evaluate retrieval results from the the paper Simple Entity-ce

Princeton Natural Language Processing 119 Sep 28, 2022
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Real-ESRGAN Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Ported from https://github.com/xinntao/Real-ESRGAN Depend

Holy Wu 44 Dec 27, 2022
Code & Data for Enhancing Photorealism Enhancement

Code & Data for Enhancing Photorealism Enhancement

Intel ISL (Intel Intelligent Systems Lab) 1.1k Jan 08, 2023
Official Pytorch Implementation of Relational Self-Attention: What's Missing in Attention for Video Understanding

Relational Self-Attention: What's Missing in Attention for Video Understanding This repository is the official implementation of "Relational Self-Atte

mandos 43 Dec 07, 2022
Deeper insights into graph convolutional networks for semi-supervised learning

deeper_insights_into_GCNs Deeper insights into graph convolutional networks for semi-supervised learning References data and utils.py come from Implem

Davidham3 17 Dec 16, 2022
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu,

GEMS Lab: Graph Exploration & Mining at Scale, University of Michigan 70 Dec 18, 2022
Deep Multimodal Neural Architecture Search

MMNas: Deep Multimodal Neural Architecture Search This repository corresponds to the PyTorch implementation of the MMnas for visual question answering

Vision and Language Group@ MIL 23 Dec 21, 2022
Training DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)

Training DALL-E with volunteers from all over the Internet This repository is a part of the NeurIPS 2021 demonstration "Training Transformers Together

<a href=[email protected]"> 19 Dec 13, 2022
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

Segmentation from Natural Language Expressions This repository contains the code for the following paper: R. Hu, M. Rohrbach, T. Darrell, Segmentation

Ronghang Hu 88 May 24, 2022
2D Human Pose estimation using transformers. Implementation in Pytorch

PE-former: Pose Estimation Transformer Vision transformer architectures perform very well for image classification tasks. Efforts to solve more challe

Panteleris Paschalis 23 Oct 17, 2022
An alarm clock coded in Python 3 with Tkinter

Tkinter-Alarm-Clock An alarm clock coded in Python 3 with Tkinter. Run python3 Tkinter Alarm Clock.py in a terminal if you have Python 3. NOTE: This p

CodeMaster7000 1 Dec 25, 2021
Compare outputs between layers written in Tensorflow and layers written in Pytorch

Compare outputs of Wasserstein GANs between TensorFlow vs Pytorch This is our testing module for the implementation of improved WGAN in Pytorch Prereq

Hung Nguyen 72 Dec 20, 2022
Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression", TIP 2020

Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multil

Xuefeng 5 Jan 15, 2022
An implementation of quantum convolutional neural network with MindQuantum. Huawei, classifying MNIST dataset

关于实现的一点说明 山东大学 2020级 苏博南 www.subonan.com 文件说明 tools.py 这里面主要有两个函数: resize(a, lenb) 这其实是我找同学写的一个小算法hhh。给出一个$28\times 28$的方阵a,返回一个$lenb\times lenb$的方阵。因

ぼっけなす 2 Aug 29, 2022
AIR^2 for Interaction Prediction

This is the repository for AIR^2 for Interaction Prediction. Explanation of the solution: Video: link License AIR is released under the Apache 2.0 lic

21 Sep 27, 2022
Single Image Random Dot Stereogram for Tensorflow

TensorFlow-SIRDS Single Image Random Dot Stereogram for Tensorflow SIRDS is a means to present 3D data in a 2D image. It allows for scientific data di

Greg Peatfield 5 Aug 10, 2022
Some pvbatch (paraview) scripts for postprocessing OpenFOAM data

pvbatchForFoam Some pvbatch (paraview) scripts for postprocessing OpenFOAM data For every script there is a help message available: pvbatch pv_state_s

Morev Ilya 2 Oct 26, 2022
Practical Single-Image Super-Resolution Using Look-Up Table

Practical Single-Image Super-Resolution Using Look-Up Table [Paper] Dependency Python 3.6 PyTorch glob numpy pillow tqdm tensorboardx 1. Training deep

Younghyun Jo 116 Dec 23, 2022