Face_mosaic - Mosaic blur processing is applied to multiple faces appearing in the video

Overview

動機

face_recognitionを使用して得られる顔座標は長方形であり、この座標をそのまま用いてぼかし処理を行った場合得られる画像は醜い。

それに対してモザイクによってぼかし処理を行うと自然に見える。

これを静止画だけでなく動画にも適用したい。
同じ働きを持つものはORB-HD/defaceが既に存在する。defacecenterface.onnxを用いるのに比べこちらはdlibを使用する。これらは顔検出のみか顔認識まで行うかで使い分けすると良いと思う。

方法

静止画の場合

face_recognitionのメソッドであるface_recognition.face_locationsの返り値は(top, right, bottom, left)の配列。

顔周りの長方形をぼかす

original.png
original.png

import cv2
import face_recognition

image = cv2.imread('img/original.png')
face_location_list = face_recognition.face_locations(
    image, 0, 'cnn')
if len(face_location_list) > 0:
    dst = image.copy()
    for (top, right, bottom, left) in face_location_list:
        dst[top:top + (bottom - top), left:left + (right - left)] = cv2.blur(
            dst[top:top + (bottom - top), left:left + (right - left)], (50, 50))
    cv2.imwrite('img/rectangle_blur.png', dst)

モザイク処理

モザイク処理の方法はnote.nkmk.me Python, OpenCVで画像にモザイク処理(全面、一部、顔など)様よりアイデアを頂戴致しました。

def mosaic(src, ratio):
    small = cv2.resize(src, None, fx=ratio, fy=ratio,
                       interpolation=cv2.INTER_NEAREST)
    return cv2.resize(small, src.shape[:2][::-1], interpolation=cv2.INTER_NEAREST)


if len(face_location_list) > 0:
    dst = image.copy()
    for (top, right, bottom, left) in face_location_list:
        dst[top:top + (bottom - top), left:left + (right - left)] = mosaic(
            dst[top:top + (bottom - top), left:left + (right - left)], 0.1)
    cv2.imwrite('img/rectangle_mosaic.png', dst)

動画に適用

Pixabayが提供するOybek Ostanovの動画をvideo.mp4としてblur処理を行う。

import cv2
import face_recognition
import PySimpleGUI as sg

vcap = cv2.VideoCapture('img/video.mp4', cv2.CAP_FFMPEG)


def mosaic(src, ratio):
    small = cv2.resize(src, None, fx=ratio, fy=ratio,
                       interpolation=cv2.INTER_NEAREST)
    return cv2.resize(small, src.shape[:2][::-1], interpolation=cv2.INTER_NEAREST)


sg.theme('Reddit')
layout = [
    [sg.Text('blur')],
    [sg.Image(key='display')],
    [sg.Button('terminate', key='terminate', button_color='red')]
]
window = sg.Window('blur', layout, location=(50, 50))

while True:
    ret, frame = vcap.read()
    if ret == False:
        break
    face_location_list = face_recognition.face_locations(
        frame, 0, 'cnn')

    if len(face_location_list) > 0:
        dst = frame.copy()
        for (top, right, bottom, left) in face_location_list:
            # rectangle blur ======
            # dst[top:top + (bottom - top), left:left + (right - left)] = cv2.blur(
            #     dst[top:top + (bottom - top), left:left + (right - left)], (50, 50))
            # mosaic blur =========
            dst[top:top + (bottom - top), left:left + (right - left)] = mosaic(
                dst[top:top + (bottom - top), left:left + (right - left)], 0.1)

    event, _ = window.read(timeout=1)
    imgbytes = cv2.imencode(".png", dst)[1].tobytes()
    window["display"].update(data=imgbytes)
    if event == 'terminate':
        break
vcap.release()

結果


期待通りの結果が得られました。

Reference

Author

yKesamaru

License

MIT License

Owner
Yoshitsugu Kesamaru
Face recognition and others.
Yoshitsugu Kesamaru
Programa que viabiliza a OCR (Optical Character Reading - leitura óptica de caracteres) de um PDF.

Este programa tem o intuito de ser um modificador de arquivos PDF. Os arquivos PDFs podem ser 3: PDFs verdadeiros - em que podem ser selecionados o ti

Daniel Soares Saldanha 2 Oct 11, 2021
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

OCR Resources This repository contains a collection of resources (including the papers and datasets) of OCR (Optical Character Recognition). Contents

Zuming Huang 363 Jan 03, 2023
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

EAST: An Efficient and Accurate Scene Text Detector Description: This version will be updated soon, please pay attention to this work. The motivation

Dejia Song 544 Dec 20, 2022
Official code for :rocket: Unsupervised Change Detection of Extreme Events Using ML On-Board :rocket:

RaVAEn The RaVÆn system We introduce the RaVÆn system, a lightweight, unsupervised approach for change detection in satellite data based on Variationa

SpaceML 35 Jan 05, 2023
Turn images of tables into CSV data. Detect tables from images and run OCR on the cells.

Table of Contents Overview Requirements Demo Modules Overview This python package contains modules to help with finding and extracting tabular data fr

Eric Ihli 311 Dec 24, 2022
OpenGait is a flexible and extensible gait recognition project

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

Shiqi Yu 335 Dec 22, 2022
Awesome anomaly detection in medical images

A curated list of awesome anomaly detection works in medical imaging, inspired by the other awesome-* initiatives.

Kang Zhou 57 Dec 19, 2022
Let's explore how we can extract text from forms

Form Segmentation Let's explore how we can extract text from any forms / scanned pages. Objectives The goal is to find an algorithm that can extract t

Philip Doxakis 42 Jun 05, 2022
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Handwriting Recognition System This repository is the Tensorflow implementation of the Handwriting Recognition System described in Handwriting Recogni

Edgard Chammas 346 Jan 07, 2023
a Deep Learning Framework for Text

DeLFT DeLFT (Deep Learning Framework for Text) is a Keras and TensorFlow framework for text processing, focusing on sequence labelling (e.g. named ent

Patrice Lopez 350 Dec 19, 2022
A community-supported supercharged version of paperless: scan, index and archive all your physical documents

Paperless-ngx Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can keep,

5.2k Jan 04, 2023
Code for the "Sensing leg movement enhances wearable monitoring of energy expenditure" paper.

EnergyExpenditure Code for the "Sensing leg movement enhances wearable monitoring of energy expenditure" paper. Additional data for replicating this s

Patrick S 42 Oct 26, 2022
An official PyTorch implementation of the paper "Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences", ICCV 2021.

PyTorch implementation of Learning by Aligning (ICCV 2021) This is an official PyTorch implementation of the paper "Learning by Aligning: Visible-Infr

CV Lab @ Yonsei University 30 Nov 05, 2022
Controlling Volume by Hand Gestures

This program allows the user to control the volume of their device with specific hand gestures involving their thumb and index finger!

Riddhi Bajaj 1 Nov 11, 2021
Markup for note taking

Subtext: markup for note-taking Subtext is a text-based, block-oriented hypertext format. It is designed with note-taking in mind. It has a simple, pe

Gordon Brander 224 Jan 01, 2023
第一届西安交通大学人工智能实践大赛(2018AI实践大赛--图片文字识别)第一名;仅采用densenet识别图中文字

OCR 第一届西安交通大学人工智能实践大赛(2018AI实践大赛--图片文字识别)冠军 模型结果 该比赛计算每一个条目的f1score,取所有条目的平均,具体计算方式在这里。这里的计算方式不对一句话里的相同文字重复计算,故f1score比提交的最终结果低: - train val f1score 0

尹畅 441 Dec 22, 2022
Virtual Zoom Gesture using OpenCV

Virtual_Zoom_Gesture I have created a virtual zoom gesture where we can Zoom in and Zoom out any image and even we can move that image anywhere on the

Mudit Sinha 2 Dec 26, 2021
nofacedb/faceprocessor is a face recognition engine for NoFaceDB program complex.

faceprocessor nofacedb/faceprocessor is a face recognition engine for NoFaceDB program complex. Tech faceprocessor uses a number of open source projec

NoFaceDB 3 Sep 06, 2021
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Attention-based OCR Visual attention-based OCR model for image recognition with additional tools for creating TFRecords datasets and exporting the tra

Ed Medvedev 933 Dec 29, 2022
Brief idea about our project is mentioned in project presentation file.

Brief idea about our project is mentioned in project presentation file. You just have to run attendance.py file in your suitable IDE but we prefer jupyter lab.

Dhruv ;-) 3 Mar 20, 2022