Open CV - Convert a picture to look like a cartoon sketch in python

Last update: Jan 29, 2022

Related tags

Overview

Use the video https://www.youtube.com/watch?v=k7cVPGpnels for initial learning.

sketch.py

The whole point of this is convert a picture to look like a cartoon sketch and the results are pretty good I feel. First step is to take the input image and convert it to grey scale. Second step is to invert this greyscale. Then we use Gaussian blur to blur the inverted image. Fourth step would be to invert back the blurred inverted image. The final step is to divide the gray imaage with the Inverted blur image. dividing the grayscale image by the inverse of the blurred image, remains with the highlights the boldest edges. This results in the sketch of the uploaded image.

sketch_live.py

This file opens up the web camera and converts each frame into a sketch in real time.

bgremove.py

We are trying to build a background removal app and the modules used here are cvzone and mediapipe.

Import the SelfiSegmentation from cvzone.SelfiSegmentationModule.

The removeBG module removes the background of the image, not much to do here, will need to try how to do this from scratch some day.

Open CV - Convert a picture to look like a cartoon sketch in python

Related tags

Overview

sketch.py

sketch_live.py

bgremove.py

Owner

Sammith S Bharadwaj

Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

September-Assistant - Open-source Windows Voice Assistant

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

A bare-bones Python library for quality diversity optimization.

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition [CVPR 2021].

[PNAS2021] The neural architecture of language: Integrative modeling converges on predictive processing

Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

Model-based reinforcement learning in TensorFlow

Codes for paper "Towards Diverse Paragraph Captioning for Untrimmed Videos". CVPR 2021

Learning Neural Network Subspaces

Learning to Identify Top Elo Ratings with A Dueling Bandits Approach

Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution

Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"

Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.

The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

Instance Semantic Segmentation List

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations

Open CV - Convert a picture to look like a cartoon sketch in python

Related tags

Overview

sketch.py

sketch_live.py

bgremove.py

Owner

Sammith S Bharadwaj

Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

September-Assistant - Open-source Windows Voice Assistant

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

A bare-bones Python library for quality diversity optimization.

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition [CVPR 2021].

[PNAS2021] The neural architecture of language: Integrative modeling converges on predictive processing

Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

Model-based reinforcement learning in TensorFlow

Codes for paper "Towards Diverse Paragraph Captioning for Untrimmed Videos". CVPR 2021

Learning Neural Network Subspaces

Learning to Identify Top Elo Ratings with A Dueling Bandits Approach

Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution

Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"

Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.

The source code for 'Noisy-Labeled NER with Confidence Estimation' accepted by NAACL 2021

Instance Semantic Segmentation List

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.