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

PyTorch implementation of Deformable Convolution

From this paper "SESNet: A Semantically Enhanced Siamese Network for Remote Sensing Change Detection"

Multiple Object Tracking with Yolov5!

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Efficient Training of Audio Transformers with Patchout

Implementation of H-UCRL Algorithm

paper list in the area of reinforcenment learning for recommendation systems

Filtering variational quantum algorithms for combinatorial optimization

Plugin for Gaffer providing direct acess to asset from PolyHaven.com. Only HDRIs at the moment, Cycles and Arnold supported

Implementation of the CVPR 2021 paper "Online Multiple Object Tracking with Cross-Task Synergy"

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

Flower - A Friendly Federated Learning Framework

A pytorch &keras implementation and demo of Fastformer.

Rl-quickstart - Reinforcement Learning Quickstart

ScaleNet: A Shallow Architecture for Scale Estimation

Fast and robust certifiable relative pose estimation

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

Repo for the paper Extrapolating from a Single Image to a Thousand Classes using Distillation

LinkNet - This repository contains our Torch7 implementation of the network developed by us at e-Lab.

High level network definitions with pre-trained weights in TensorFlow