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
This repository holds code and data for our PETS'22 article 'From "Onion Not Found" to Guard Discovery'.

From "Onion Not Found" to Guard Discovery (PETS'22) This repository holds the code and data for our PETS'22 paper titled 'From "Onion Not Found" to Gu

Lennart Oldenburg 3 May 04, 2022
ivadomed is an integrated framework for medical image analysis with deep learning.

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

144 Dec 19, 2022
Graduation Project

Gesture-Detection-and-Depth-Estimation This is my graduation project. (1) In this project, I use the YOLOv3 object detection model to detect gesture i

ChaosAT 1 Nov 23, 2021
Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices,

Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices, Linh Van Ma, Tin Trung Tran, Moongu Jeon, ICAIIC 2022 (The 4th

Linh 11 Oct 10, 2022
Repository for the semantic WMI loss

Installation: pip install -e . Installing DL2: First clone DL2 in a separate directory and install it using the following commands: git clone https:/

Nick Hoernle 4 Sep 15, 2022
Yolo object detection - Yolo object detection with python

How to run download required files make build_image make download Docker versio

3 Jan 26, 2022
High-resolution networks and Segmentation Transformer for Semantic Segmentation

High-resolution networks and Segmentation Transformer for Semantic Segmentation Branches This is the implementation for HRNet + OCR. The PyTroch 1.1 v

HRNet 2.8k Jan 07, 2023
OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Out-of-Distribution Minimum Anomaly Score GAN (OMASGAN) C

- 8 Sep 27, 2022
Learning to Prompt for Continual Learning

Learning to Prompt for Continual Learning (L2P) Official Jax Implementation L2P is a novel continual learning technique which learns to dynamically pr

Google Research 207 Jan 06, 2023
Deploy recommendation engines with Edge Computing

RecoEdge: Bringing Recommendations to the Edge A one stop solution to build your recommendation models, train them and, deploy them in a privacy prese

NimbleEdge 131 Jan 02, 2023
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems

Bayesian Deep Learning for Manufacturing 2.0 (dlmfg) Object Shape Error Response (OSER) Digital Lifecycle Management - In Process Quality Improvement

Sumit Sinha 30 Oct 31, 2022
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation

A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation This repository contains the source code of the paper A Differentiable

Bernardo Aceituno 2 May 05, 2022
A semismooth Newton method for elliptic PDE-constrained optimization

sNewton4PDEOpt The Python module implements a semismooth Newton method for solving finite-element discretizations of the strongly convex, linear ellip

2 Dec 08, 2022
Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project

Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model

Chen Wu 24 Nov 29, 2022
Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation.

Unified-EPT Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation. Installation Linux, CUDA=10.0,

29 Aug 23, 2022
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

Adelaide Intelligent Machines (AIM) Group 3k Jan 02, 2023
Fine-Tune EleutherAI GPT-Neo to Generate Netflix Movie Descriptions in Only 47 Lines of Code Using Hugginface And DeepSpeed

GPT-Neo-2.7B Fine-Tuning Example Using HuggingFace & DeepSpeed Installation cd venv/bin ./pip install -r ../../requirements.txt ./pip install deepspe

Nikita 180 Jan 05, 2023
Machine Learning Model deployment for Container (TensorFlow Serving)

try_tf_serving ├───dataset │ ├───testing │ │ ├───paper │ │ ├───rock │ │ └───scissors │ └───training │ ├───paper │ ├───rock

Azhar Rizki Zulma 5 Jan 07, 2022
PyTorch implementation DRO: Deep Recurrent Optimizer for Structure-from-Motion

DRO: Deep Recurrent Optimizer for Structure-from-Motion This is the official PyTorch implementation code for DRO-sfm. For technical details, please re

Alibaba Cloud 56 Dec 12, 2022
Fast and simple implementation of RL algorithms, designed to run fully on GPU.

RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I

Robotic Systems Lab - Legged Robotics at ETH Zürich 68 Dec 29, 2022