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https://github.com/hastagAB/Awesome-Python-Scripts.git
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Added Image Recognition Script (#109)
* Added face recognition script * Updated README Co-authored-by: Ayush Bhardwaj <classicayush@gmail.com>
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Face_recognition/Image_recognition.ipynb
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Face_recognition/Image_recognition.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2\n",
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"\n",
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"face_cascade = cv2.CascadeClassifier(\"haarcascade_frontalface_default.xml\")\n",
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"\n",
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"img = cv2.imread(\"morgan.jpg\",1)\n",
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"\n",
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"gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
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"\n",
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"faces = face_cascade.detectMultiScale(gray_img, scaleFactor=1.05, minNeighbors=5)\n",
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"\n",
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"print(type(faces))\n",
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"print(faces)\n",
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"\n",
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"for x,y,w,h in faces:\n",
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" img = cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0),3)\n",
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" \n",
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"resize_img = cv2.resize(img, (int(img.shape[1]/2), int(img.shape[0]/2)))\n",
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"\n",
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"cv2.imshow(\"Gray\",resize_img)\n",
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"\n",
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"cv2.waitKey(0)\n",
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"\n",
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"cv2.destroyAllWindow(Gray)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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Face_recognition/README.md
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Face_recognition/README.md
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{\rtf1\ansi\ansicpg1252\cocoartf1671\cocoasubrtf600
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{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
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{\colortbl;\red255\green255\blue255;}
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{\*\expandedcolortbl;;}
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\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0
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\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0
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\f0\fs24 \cf0 # Description\
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Code for Face recognition build by using OpenCv-Python. It uses cascade classifier as the database for the recognition which is an xml file.\
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\
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# Requirements\
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Python version 3 and above can be used\
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pip install cv2\
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\
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# Usage \
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Can be run easily using terminal or command prompt ( I used Jupyter Notebook for the code)\
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Run `python3 image_recognition.ipynb` \
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}
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Face_recognition/haarcascade_frontalface_default.xml
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Face_recognition/haarcascade_frontalface_default.xml
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Face_recognition/morgan.jpg
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Face_recognition/morgan.jpg
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Face_recognition/requirements.txt
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Face_recognition/requirements.txt
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{\rtf1\ansi\ansicpg1252\cocoartf1671\cocoasubrtf600
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{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
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{\colortbl;\red255\green255\blue255;}
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{\*\expandedcolortbl;;}
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\paperw11900\paperh16840\margl1440\margr1440\vieww10800\viewh8400\viewkind0
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\pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardirnatural\partightenfactor0
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\f0\fs24 \cf0 OpenCV- Python\
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Cascade Classifier}
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README.md
62
README.md
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@ -11,6 +11,68 @@ So far, the following projects have been integrated to this repo:
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| Project Name | Contributors |
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|--|--|
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||||
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||||
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|
||||
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|
||||
| [Automated emails](automated_email) | [Suvigya](https://github.com/SuvigyaJain1) |
|
||||
|
|
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