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

Athena is the only tool that you will ever need to optimize your portfolio.

Grounding Representation Similarity with Statistical Testing

Easily pull telemetry data and create beautiful visualizations for analysis.

Repository to run object detection on a model trained on an autonomous driving dataset.

CoaT: Co-Scale Conv-Attentional Image Transformers

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

sktime companion package for deep learning based on TensorFlow

tensorrt int8 量化yolov5 4.0 onnx模型

Simple implementation of Mobile-Former on Pytorch

Pytorch implementation of “Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement”

MOT-Tracking-by-Detection-Pipeline - For Tracking-by-Detection format MOT (Multi Object Tracking), is it a framework that separates Detection and Tracking processes?

Patch-Diffusion Code (AAAI2022)

PyTorch DepthNet Training on Still Box dataset

Compare neural networks by their feature similarity

Orthogonal Over-Parameterized Training

Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"

Implementations of CNNs, RNNs, GANs, etc

Koç University deep learning framework.

This is a library for training and applying sparse fine-tunings with torch and transformers.

Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions