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How to use register_image method in localstack

Best Python code snippet using localstack_python

routes.py

Source:routes.py

1from flask import request, redirect, render_template, jsonify2from app import app3import os4import io5from io import StringIO6from models import *7import face_recognition8import numpy as np9from PIL import Image10import pickle11import json12from mask_detection import give_predictions13from werkzeug.utils import secure_filename14from sendgrid import SendGridAPIClient15from sendgrid.helpers.mail import Mail16# def allowed_file(register_image):17# 	return '.' in register_image and register_image.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS18@app.route('/', methods=['GET','VIEW'])19def home():20    if request.method=='VIEW':21        return render_template('index.html')22    else:23        return jsonify({'message to the new User': 'Welcome to M-GAP, Go on to the registration page to begin your journey with us.'})24@app.route('/register', methods=['GET'])25def register():26    return jsonify({"API for Registration Page": "Fill in the details"})27    try:28        return render_template('register.html')29    except:30        return None31@app.route('/verify')32def verify():33    return render_template('verify.html')34@app.route('/result')35def result():36    return render_template('final.html')37@app.route('/send_details', methods=['POST', 'GET'])38def index():39    if request.method == 'POST':40        # posted_data = request.get_json()41        register_image = str(Image.open(request.files['register_image'], "r"))42        data = json.load(request.files['data'])43        name = data['name']44        email = data['email']45        gender = data['gender']46        age = data['age']47        contact = data['contact']48        face_encoding = data['face_encoding']49        # # name = request.form['demo-name']50        # # email = request.form['demo-email']51        # # gender = request.form['demo-gender']52        # # age = int(request.form['demo-age'])53        # # contact = request.form['demo-contact']54        # # face_encoding = np.array(json.loads(request.form['encoding']))  #TODO55        # image = request.files['image']56        # register_image = secure_filename(image.register_image)57        # register_image = request.form['register_image']58        new_User = User(name=name, email=email, gender=gender, age=age, contact=contact,59                        register_image=register_image, face_encoding=face_encoding)  # , face_encoding=pickle.dumps(face_encoding))register_image=register_image60        try:61            db.session.add(new_User)62            db.session.commit()63            # return redirect('/register')64            # return jsonify(username=g.user.name,65            #        email=g.user.email,66            #        id=g.user.id)67            return jsonify({'message': 'User has registered with all the details'})68        except Exception as e:69            print(e)70            return 'There was an issue adding the details of the User to your database'71    else:72        # users = User.query.order_by(User.id).all()73        # return render_template('register.html', users=users)74        return jsonify({'name': 'Enter name',75                        'age': 'Enter Age',76                        'contact': 'Enter contact',77                        'email': 'Enter email',78                        'register_image': 'Upload a high resolution picture of your face so that M-GAP can carry out Facial Recognition on it'})79@app.route('/send_email', methods=['POST'])80def sendmail():81    if request.method == 'POST':82        posted_data = request.get_json()83        user_name = posted_data['user_name']84        user_email = posted_data['user_email']85        message = Mail(86            from_email='maintaingap.safetytracker@gmail.com',87            to_emails=user_email,88            subject='You have been registered with M-GAP',89            html_content=f'Hi {user_name} !<br>Thank you for registering with us '90        )91        return jsonify({'response': 'The mail has been sent',92                        'message': 'Hi ' + user_name + '! Thank you for registering with us'})93    try:94        sg = SendGridAPIClient(os.environ.get('SENDGRID_API_KEY'))95        response = sg.send(message)96        return jsonify({'message': 'The mail has been sent to the user'})97        # print(response.body)98        # print(response.headers)99    except Exception as e:100        print(e)101@app.route('/verification_details', methods=['POST', 'PUT', 'PATCH', 'GET'])102def details():103    # temperature = float(request.form['demo-temp'])104    # try:105    #     user_id = int(request.form['user-id'])106    # except:107    #     user_id = None108    if request.method == 'POST':109        temperature = request.args.get('temperature')110        user_id = request.args.get('user_id')111        mask_detected = request.args.get('mask_detected', int)112    # mask_detected = bool(int(request.form['mask-detected']))113        if user_id:114            new_Scan = Scan(mask_detected, temperature, user_id)115            try:116                db.session.add(new_Scan)117                db.session.commit()118                if(new_Scan.temperature < 99.0 and new_Scan.mask_detected == 1):119                    return render_template('verified.html', person=new_Scan.person)120                elif(new_Scan.temperature < 99.0 and new_Scan.mask_detected == 0):121                    return render_template('notmask.html', person=new_Scan.person)122                elif(new_Scan.temperature > 99.0 and new_Scan.mask_detected == 1):123                    return render_template('nottemp.html', person=new_Scan.person)124                else:125                    return render_template('failed.html', person=new_Scan.person)126            except Exception as e:127                print(e)128                return 'There was an issue adding the details of the User to your database'129        else:130            if(temperature < 99.0 and mask_detected == 1):131                return render_template('noface.html')132            elif (temperature > 99.0 and mask_detected == 1):133                return render_template('notemp.html')134            elif (temperature < 99.0 and mask_detected == 0):135                return render_template('nomask.html')136            else:137                return render_template('notverified.html')138    if request.method == 'PATCH':139        temperature = request.args.get('temperature')140        user_id = request.args.get('user_id')141        mask_detected = request.args.get('mask_detected', int)142        if user_id:143            new_Scan = Scan(mask_detected, temperature, user_id)144            try:145                db.session.add(new_Scan)146                db.session.commit()147                if(new_Scan.temperature < 99.0 and new_Scan.mask_detected == 1):148                    return render_template('verified.html', person=new_Scan.person)149                elif(new_Scan.temperature < 99.0 and new_Scan.mask_detected == 0):150                    return render_template('notmask.html', person=new_Scan.person)151                elif(new_Scan.temperature > 99.0 and new_Scan.mask_detected == 1):152                    return render_template('nottemp.html', person=new_Scan.person)153                else:154                    return render_template('failed.html', person=new_Scan.person)155            except Exception as e:156                print(e)157                return 'There was an issue adding the details of the User to your database'158@app.route('/register-image', methods=['POST', 'GET'])159def register_face():160    if request.method == 'POST':161        image = request.files['webcam']162        image = np.array(Image.open(image))163        try:164            face_locations = face_recognition.face_locations(image)165            top, right, bottom, left = face_locations[0]166            face_image = image[top:bottom, left:right]167            face_encoding = face_recognition.face_encodings(face_image)168            dump = pickle.dumps(face_encoding[0])169            return jsonify(face_encoding[0].tolist())170        except:171            return jsonify([])172    if request.method == 'GET':173        image = request.files['webcam']174        image = np.array(Image.open(image))175        try:176            face_locations = face_recognition.face_locations(image)177            top, right, bottom, left = face_locations[0]178            face_image = image[top:bottom, left:right]179            face_encoding = face_recognition.face_encodings(face_image)180            dump = pickle.dumps(face_encoding[0])181            return jsonify({"Image encoding": face_encoding[0].tolist()})182        except:183            return jsonify({"Image encoding": "CREATED"})184@app.route('/verify-face', methods=['POST'])185def verify_face():186    image = request.files['webcam']187    image = np.array(Image.open(image))188    try:189        face_locations = face_recognition.face_locations(image)190        top, right, bottom, left = face_locations[0]191        face_image = image[top:bottom, left:right]192        face_encoding = face_recognition.face_encodings(face_image)193        all_users = User.query.all()194        face_encodings = [pickle.loads(user.face_encoding)195                          for user in all_users]196        user_ids = [user.id for user in all_users]197        results = face_recognition.face_distance(198            face_encodings, face_encoding[0])199        best_match_index = np.argmin(results)200        if results[best_match_index] <= 0.35:201            verified_user_id = user_ids[best_match_index]202            print('Person Verified!', 'User ID:', verified_user_id)203        else:204            print(results[best_match_index])205            raise Exception206        return jsonify({'user_id': verified_user_id})207    except:208        print('No face detected!', flush=True)209        # return jsonify({'user_id': None})210        return jsonify({'Face Detected': 'Yes'})211@app.route('/verify-mask', methods=['POST'])212def verify_mask():213    image = request.files['webcam']214    mask_on = give_predictions(image)...

test_register_image.py

Source:test_register_image.py

...11    return reference, image, -np.array(dydx)[::-1]12def test_error(data):13    reference, image, dxdy = data14    with pytest.raises(ValueError) as err:15        register_image(image, reference, maxshift=[1, 2, 3])16    assert "Invalid maxshift length" in str(err.value)17    with pytest.raises(ValueError) as err:18        register_image(image, reference, shift0=[1, 2, 3])19    assert "Invalid shift0 length" in str(err.value)20    with pytest.raises(ValueError) as err:21        register_image(image, reference[:-1])22    assert "Image shape does not match" in str(err.value)23def test_expected(data):24    reference, image, dxdy = data25    result = register_image(image, reference, upsample=1)26    assert np.allclose(result, [-2, -4]), 'pixel resolution'27    result = register_image(image, reference, upsample=10)28    assert np.allclose(result, dxdy), 'sub-pixel resolution'29def test_maxshift(data):30    reference, image, dxdy = data31    result = register_image(image, reference, maxshift=10)32    assert np.allclose(result, [-2, -4])33    result = register_image(image, reference, maxshift=5)34    assert np.allclose(result, [-2, -4])35    result = register_image(image, reference, maxshift=[0, 0])36    assert np.allclose(result, 0)37def test_shift0(data):38    reference, image, dxdy = data39    result = register_image(image, reference, shift0=dxdy)40    assert np.allclose(result, [-2, -4])41    result = register_image(image, reference, shift0=100, upsample=10)42    assert not np.allclose(result, [-2, -4])43def test_line():44    line1 = np.zeros((100, 1))45    line1[50] = 146    line2 = np.zeros((100, 1))47    line2[53] = 148    result = register_image(line1, line2)...

models.py

Source:models.py

1from app import app2from datetime import datetime3from flask_sqlalchemy import SQLAlchemy4db = SQLAlchemy(app)5class User(db.Model):6    __tablename__ = "User"7    id = db.Column(db.Integer, primary_key=True)8    name = db.Column(db.String(255), nullable=False)9    email = db.Column(db.String(255), nullable=False)10    gender = db.Column(db.String(255), nullable=False)11    age = db.Column(db.Integer, nullable=False)12    contact = db.Column(db.String(255), nullable=False)13    face_encoding = db.Column(db.Text, nullable=True)14    register_image = db.Column(db.Text, nullable=False)15    scans = db.relationship('Scan', backref='person', lazy=True)16    def __init__(self, name, email, gender, age, contact, register_image, face_encoding):17        self.name = name18        self.email = email19        self.gender = gender20        self.age = age21        self.contact = contact22        self.register_image = register_image23        self.face_encoding = face_encoding24    def __repr__(self):25        return '<User %r %r %r %r %r' % (self.name, self.email, self.gender, self.age, self.contact, self.register_image)26class Scan(db.Model): 27    __tablename__ = "Scan"28    id = db.Column(db.Integer, primary_key=True)29    check_in_time = db.Column(db.DateTime)30    mask_detected = db.Column(db.Integer, nullable=False)31    temperature = db.Column(db.Float,nullable=False)32    person_id = db.Column(db.Integer, db.ForeignKey('User.id'), nullable=True)33    def __init__(self, mask_detected, temperature, person_id):34        self.check_in_time = datetime.now()35        self.mask_detected = mask_detected36        self.temperature = temperature37        self.person_id = person_id38    def __repr__(self):39        return '<Scan %r %r %r %r' % (self.check_in_time, self.mask_detected, self.temperature)...

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