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e428f6a3fd
* Added face recognition script * Updated README Co-authored-by: Ayush Bhardwaj <classicayush@gmail.com>
57 lines
1.3 KiB
Plaintext
57 lines
1.3 KiB
Plaintext
{
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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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"nbformat": 4,
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"nbformat_minor": 2
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