├── 5-celebrity-faces-dataset.npz ├── README.md ├── dataset ├── train │ ├── ben_afflek │ │ ├── httpcsvkmeuaeccjpg.jpg │ │ ├── httpimagesfandangocomrImageRendererredesignstaticimgnoxportraitjpgpcpcpcimagesmasterrepositoryperformerimagespjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxdbbdbbbececacdecdcdfjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxdfdfadcfeabjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxedaedabcbefbcbabbjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxeebdfdbaaajpg.jpg │ │ ├── httpssmediacacheakpinimgcomxeeedcacddeccccacfjpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsthumbddBenAffleckbyGageSkidmorejpgpxBenAffleckbyGageSkidmorejpg.jpg │ │ ├── httptrwebimgacstanetcxbdddmediasnmediajpg.jpg │ │ ├── httpwwwaceshowbizcomimagesphotobenaffleckjpg.jpg │ │ ├── httpwwwallposterscomimagesPostersPFjpg.jpg │ │ ├── httpwwwfilmscoopitcgibinattoriBENAFFLECKBENAFFLECKjpg.jpg │ │ ├── httpwwwhillsindcomstorebenjpg.jpg │ │ └── httpwwwrumenewscomwpcontentuploadsbenafflekxpng.jpg │ ├── elton_john │ │ ├── httpftqncomymusicLxZeltonjohnjpg.jpg │ │ ├── httpiamediaimdbcomimagesMMVBMTAxNDUMzUwOTdeQTJeQWpwZBbWUMDUOTAyNTIVUXCRALjpg.jpg │ │ ├── httpimagesmtvcomurimgidfiledocrootvhcomsitewideflipbooksimgdailyjpgenlargefalsemattetruematteColorblackquality.jpg │ │ ├── httpimggalpmdstaticnetfithttpAFFwwwEgalaEfrFvarFgalFstorageFimagesFmediaFmultiuploaddufevrierFeltonjohnFfreFRFeltonjohnEjpgxqualityeltonjohnjpg.jpg │ │ ├── httpmediacacheecpinimgcomxffeffbcefjpg.jpg │ │ ├── httpmediapopsugarassetscomfilescbffewltonjpg.jpg │ │ ├── httpsdfrpwlycscloudfrontnetdeltonjohnjpg.jpg │ │ ├── httpspmctvlinefileswordpresscomeltonjohnjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxfcfcbaeaeddabbjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxfecfecaefaadfebejpg.jpg │ │ ├── httpssmediacacheakpinimgcomxfefdacfbfdeadajpg.jpg │ │ ├── httpsticketmnettmenusdamabbacdaebeafdbbCUSTOMjpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsthumbEltonJohninsjpgpxEltonJohninsjpg.jpg │ │ ├── httpwwwdeadlinecomvimgnetwpcontentuploadseltonjpg.jpg │ │ ├── httpwwweonlinecomresizewwweonlinecomeolimagesEntireSitersxEltonJohnJRjpg.jpg │ │ ├── httpwwwjohnpauljonesarenacomeventimagesEltonCalendarVjpg.jpg │ │ └── httpwwwlautdeEltonJohneltonjohnjpg.jpg │ ├── jerry_seinfeld │ │ ├── httpgraphicsnytimescomimagessectionmoviesfilmographyWireImagejpg.jpg │ │ ├── httpikinjaimgcomgawkermediaimageuploadsWmIuhdsrcedidjpgjpg.jpg │ │ ├── httpimagescontactmusiccomnewsimagesjerryseinfeldjpg.jpg │ │ ├── httpimagesrottentomatoescomimagesspotlightsnewsjerryseinfeldjpg.jpg │ │ ├── httpimgthedrumcomsfspublicnewstmpjerryseinfeldjpg.jpg │ │ ├── httpimgtimeincnetpeopleinewsjerryseinfeldjpg.jpg │ │ ├── httpmediapopsugarassetscomfilesusersxlargejpg.jpg │ │ ├── httppfodcompchannelslegacyprofilejerryseinfeldpodcastjpg.jpg │ │ ├── httpsmedialivenationcomartiststapjpg.jpg │ │ ├── httpsrobertaccetturacomwpcontentuploadsjerryseinfeldheadshotjpg.jpg │ │ ├── httpstatictherichestimagescomcdncwpcontentuploadsJerrySeinfeldjpg.jpg │ │ ├── httpsticketmnettmenusdbimagesajpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsthumbbJerrySeinfeldjpgpxJerrySeinfeldjpg.jpg │ │ ├── httpsuswestamazonawscomblogsprodmediausuploadsJerrySeinfeldkidsxjpg.jpg │ │ ├── httpswwwticketscomuploadsartistsjerryseinfeldbilletsjpg.jpg │ │ ├── httpwwweonlinecomresizewwweonlinecomeolimagesEntireSitersxjerryseinfeldjulialouisdreyfusjwjpg.jpg │ │ ├── httpwwwnndbcompeoplejerryseinfeldaujpg.jpg │ │ ├── httpwwwpictureszimbiocomgpJerrySeinfeldJessicaSeinfeldmarriedBczSipMdNMQljpg.jpg │ │ ├── httpwwwpsychiatrictimescomsitesdefaultfilesimagesmediaPTMofficSeinfeldjpg.jpg │ │ ├── httpwwwslatecomcontentdamslateblogsbrowbeatseinfeldjpgCROParticlemediumjpg.jpg │ │ └── httpwwwwatchidcomsitesdefaultfilesuploadsightingBreitlingwatchJerrySeinfeldjpg.jpg │ ├── madonna │ │ ├── httpiamediaimdbcomimagesMMVBMTANDQNTAxNDVeQTJeQWpwZBbWUMDIMjQOTYVUXCRALjpg.jpg │ │ ├── httpimagegaladevcmseamadonnaprivatdetektivsquaretopsquarejpgv.jpg │ │ ├── httpimgclosermagfrvarclosermagstorageimagesactupeoplebiodestarsmadonnamadonnafreFRmadonnaexactxljpg.jpg │ │ ├── httpmediavoguecomrwblondesdarkbrowsmadonnajpg.jpg │ │ ├── httpresizeparismatchladmediafrrffffffcentermiddleimgvarnewsstorageimagesparismatchpeopleazmadonnafreFRMadonnajpg.jpg │ │ ├── httpssmediacacheakpinimgcomxaaeaaeecccaedfebdbjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxafafedebcbjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxdcfdcfedfaedadjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxfeebfdccajpg.jpg │ │ ├── httpssmediacacheakpinimgcomxffabffabbbcfbceaedjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxffeabacaaejpg.jpg │ │ ├── httpssmediacacheakpinimgcomxffecfafddjpg.jpg │ │ ├── httpssvagalumecommadonnaimagesmadonnajpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsMadonnathAnnualGoldenGlobesAwardscroppedjpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsthumbaaMadonnaatthepremiereofIAmBecauseWeArejpgpxMadonnaatthepremiereofIAmBecauseWeArejpg.jpg │ │ ├── httpuploadwikimediaorgwikipediacommonsthumbaMadonnaRotterdamjpgpxMadonnaRotterdamjpg.jpg │ │ ├── httpwwwbeastiemaniacomwhoismadonnamadonnajpg.jpg │ │ ├── httpwwwblackdogfilmscomwordpresswpcontentuploadsmadonnacelebrationxjpg.jpg │ │ └── httpwwwetonlinecomphotomadonnabdayjpg.jpg │ └── mindy_kaling │ │ ├── httpgonetworthcomwpcontentuploadsthumbsjpg.jpg │ │ ├── httpgraphicsnytimescomimagesmagazinekalingkalingarticleInlinejpg.jpg │ │ ├── httpimagesnymagcomimagesdailymindykalingxjpg.jpg │ │ ├── httpmediaonsugarcomfilesbabaaaaaMindyInterviewxxxlargejpg.jpg │ │ ├── httppixelnymagcomimgsfashiondailymindykalingwhjpg.jpg │ │ ├── httpsamazonawscomkidzworldphotoimagesbccdddaaadgallerymindykalinggalleryjpg.jpg │ │ ├── httpsimagesnasslimagesamazoncomimagesIAQdwKvFILUXjpg.jpg │ │ ├── httpsimgbuzzfeedcombuzzfeedstaticstaticcampaignimageswebdradorableetsyitemsallmindykalingfansneedbigjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxafaffbbbbdbcbdddjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxbabafeacbaaacabffjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxbbfcbdedfbfdbjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxcccccddbbfedabjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxccccdabeaadjpg.jpg │ │ ├── httpssmediacacheakpinimgcomxededbebccdajpg.jpg │ │ ├── httpssmediacacheakpinimgcomxeedccadejpg.jpg │ │ ├── httpsuploadwikimediaorgwikipediacommonsthumbMindyBKalingBPaleyFestBNewBYorkBBMindyBIqZgUWvbljpgpxMindyBKalingBPaleyFestBNewBYorkBBMindyBIqZgUWvbljpg.jpg │ │ ├── httpwwwadweekcomfilesimagecachenodeinlinemindykalingprofilehedjpg.jpg │ │ ├── httpwwwbooksforbetterlivingcomwpcontentuploadsMindyKalingAuthorPhotojpg.jpg │ │ ├── httpwwweonlinecomeolimagesEntireSiteregKalingCancermhjpg.jpg │ │ ├── httpwwwimpropercomimagesuploadsusercontentimagesSoroffMindyjpg.jpg │ │ ├── httpwwwpictureszimbiocomfpMindyKalingfBgaONVFDFmjpg.jpg │ │ └── httpwwwpictureszimbiocomgiMindyKalingLkvEhTwDeJmjpg.jpg └── val │ ├── ben_afflek │ ├── httpabsolumentgratuitfreefrimagesbenaffleckjpg.jpg │ ├── httpafilesbiographycomimageuploadcfillcssrgbdprgfacehqwMTENDgMDUODczNDcNTcjpg.jpg │ ├── httpbpblogspotcomedLMjVpRGkSWexgsXjkNIAAAAAAAADWgFFtAUqBlhAsjpg.jpg │ ├── httpcsvkmeuaafdfjpg.jpg │ └── httpcsvkmeuadecafjpg.jpg │ ├── elton_john │ ├── httpafilesbiographycomimageuploadcfillcssrgbdprgfacehqwMTEODAOTcxNjcMjczMjkzjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlineseltonjohnemmysperformancewatchnowjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlineseltonjohnstillstandingbrooklynnewyearsjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlineseltonjohnsupportsbrucejennerstransitiontowomanjpg.jpg │ └── httpcdnlyricssongonlyricsnetwpcontentuploadsEltonJohnDiscographyCDreleasesjpg.jpg │ ├── jerry_seinfeld │ ├── httpafilesbiographycomimageuploadcfillcssrgbdprgfacehqwMTIwNjANjMMDINzIxNjcjpg.jpg │ ├── httpaurorasblogcomwpcontentuploadsjerryseinfeldpublicityshotjpg.jpg │ ├── httpblognjcomentertainmentimpactcelebritiesmediumjerrybjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlinesjerryseinfeldmakesbrianwilliamsjokejpg.jpg │ └── httpcdnssninsidercomwpcontentuploadsjerryseinfeldxjpg.jpg │ ├── madonna │ ├── httpassetsrollingstonecomassetsarticlemadonnadavidbowiechangedthecourseofmylifeforeversmallsquarexmadonnabowiejpg.jpg │ ├── httpassetsrollingstonecomassetsimagesalbumreviewaffaceabdcccaeedjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlinesmadonnatalksparisattackstearsjpg.jpg │ ├── httpcdnfuncheapcomwpcontentuploadsVOGUEjpg.jpg │ └── httpecximagesamazoncomimagesIfmaBKWLACULSRjpg.jpg │ └── mindy_kaling │ ├── httpafilesbiographycomimageuploadcfillcssrgbdprgfacehqwMTIOTcwODQNTUzNjQMzcjpg.jpg │ ├── httpcdncdnjustjaredcomwpcontentuploadsheadlinesmindykalingcomedypilotjpg.jpg │ ├── httpcdnpastemagazinecomwwwarticlesmindykalingndbookjpg.jpg │ ├── httpcdnpastemagazinecomwwwarticlesmindyprojectjpg.jpg │ └── httpdbrbzkkbdsdcloudfrontnetwpcontentuploadsMindyKalingjpg.jpg ├── extract_faces.py ├── face_classification.py ├── face_embeddings.py ├── facenet_keras.h5 ├── faces-embeddings.npz ├── images └── screenshot.png └── requirements.txt /5-celebrity-faces-dataset.npz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saadhaxxan/Face-Classification-using-FaceNet-and-MTCNN/eb4e29d85890be45861b697f2bd8da0ac1c97012/5-celebrity-faces-dataset.npz -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

Face Recognition and Classification Using FaceNet and MTCNN

2 | 3 |
4 | 5 |
6 | 7 | 8 | [![Build Status](https://img.shields.io/badge/Build-Passing-brightgreen.svg?style=for-the-badge&logo=appveyor)](#) 9 | [![Open Source Love svg1](https://badges.frapsoft.com/os/v1/open-source.svg?v=103)](#) 10 | [![GitHub Forks](https://img.shields.io/github/forks/saadhaxxan/Visual-and-EDA-of-Corona-Virus.svg?style=social&label=Fork&maxAge=2592000)](https://github.com/saadhaxxan/Face-Classification-Using-FaceNet-and-Keras/fork) 11 | [![GitHub Issues](https://img.shields.io/github/issues/saadhaxxan/Visual-and-EDA-of-Corona-Virus.svg?style=flat&label=Issues&maxAge=2592000)](https://github.com/saadhaxxan/Face-Classification-Using-FaceNet-and-Keras/issues) 12 | [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat&label=Contributions&colorA=red&colorB=black )](#) 13 | 14 | ## Usage 15 | 16 | Installing requirements and dependencies 17 | ``` 18 | git clone https://github.com/saadhaxxan/Face-Classification-using-FaceNet-and-MTCNN.git 19 | cd Face-Classification-using-FaceNet-and-MTCNN 20 | pip install --user -r requirements.txt 21 | ``` 22 | 23 | Extracting Faces from Dataset using MTCNN 24 | ``` 25 | python extract_faces.py 26 | ``` 27 | 28 | Extracting Face Embeding from the Dataset using FaceNet Model. 29 | ``` 30 | python face_embeddings.py 31 | ``` 32 | 33 | Classifying Faces to their respective classes using Linear Support Vector Machine 34 | ``` 35 | python face_classification.py 36 | ``` 37 | 38 | ## Author 39 | You can get in touch with me on my LinkedIn Profile: 40 | 41 | #### Saad Hassan 42 | [![LinkedIn Link](https://img.shields.io/badge/Connect-saadhaxxan-blue.svg?logo=linkedin&longCache=true&style=social&label=Connect 43 | )](https://www.linkedin.com/in/saadhaxxan) 44 | 45 | You can also follow my GitHub Profile to stay updated about my latest projects: [![GitHub Follow](https://img.shields.io/badge/Connect-saadhaxxan-blue.svg?logo=Github&longCache=true&style=social&label=Follow)](https://github.com/saadhaxxan) 46 | 47 | If you liked the repo then kindly support it by giving it a star ⭐! 48 | 49 | If you find any bug in the code or have any improvements in mind then feel free to generate a pull request. 50 | 51 | If you face any issue, you can create a new issue in the Issues Tab and I will be glad to help you out. 52 | 53 | ## LICENSE 54 | - MIT (2021) 55 | -------------------------------------------------------------------------------- /dataset/train/ben_afflek/httpcsvkmeuaeccjpg.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saadhaxxan/Face-Classification-using-FaceNet-and-MTCNN/eb4e29d85890be45861b697f2bd8da0ac1c97012/dataset/train/ben_afflek/httpcsvkmeuaeccjpg.jpg -------------------------------------------------------------------------------- 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# detect faces in the image 19 | results = detector.detect_faces(pixels) 20 | # extract the bounding box from the first face 21 | x1, y1, width, height = results[0]['box'] 22 | # bug fix 23 | x1, y1 = abs(x1), abs(y1) 24 | x2, y2 = x1 + width, y1 + height 25 | # extract the face 26 | face = pixels[y1:y2, x1:x2] 27 | # resize pixels to the model size 28 | image = Image.fromarray(face) 29 | image = image.resize(required_size) 30 | face_array = asarray(image) 31 | return face_array 32 | 33 | #Uncomment this to show extracted faces in a plot 34 | # # specify folder to plot 35 | # folder = '5-celebrity-faces-dataset/train/ben_afflek/' 36 | # i = 1 37 | # # enumerate files 38 | # for filename in listdir(folder): 39 | # # path 40 | # path = folder + filename 41 | # # get face 42 | # face = extract_face(path) 43 | # print(i, face.shape) 44 | # # plot 45 | # pyplot.subplot(2, 7, i) 46 | # pyplot.axis('off') 47 | # pyplot.imshow(face) 48 | # i += 1 49 | # pyplot.show() 50 | 51 | def load_faces(directory): 52 | faces = list() 53 | for filename in listdir(directory): 54 | path = directory+filename 55 | face = extract_face(path) 56 | faces.append(face) 57 | return faces 58 | 59 | def load_dataset(directory): 60 | X,Y = list(),list() 61 | for subdir in listdir(directory): 62 | path = directory+subdir+"/" 63 | faces = load_faces(path) 64 | labels = [subdir for _ in range(len(faces))] 65 | print('>loaded %d examples for class: %s' % (len(faces), subdir)) 66 | X.extend(faces) 67 | Y.extend(labels) 68 | return asarray(X),asarray(Y) 69 | 70 | 71 | # load train dataset 72 | trainX, trainy = load_dataset('dataset/train/') 73 | print(trainX.shape, trainy.shape) 74 | # load test dataset 75 | testX, testy = load_dataset('dataset/val/') 76 | print(testX.shape, testy.shape) 77 | # save arrays to one file in compressed format 78 | np.savez_compressed('5-celebrity-faces-dataset.npz', trainX, trainy, testX, testy) -------------------------------------------------------------------------------- /face_classification.py: -------------------------------------------------------------------------------- 1 | from random import choice 2 | from numpy import load 3 | from numpy import expand_dims 4 | from sklearn.preprocessing import LabelEncoder 5 | from sklearn.preprocessing import Normalizer 6 | from sklearn.svm import SVC 7 | from matplotlib import pyplot 8 | 9 | # load extracted faces 10 | data = load('5-celebrity-faces-dataset.npz') 11 | testX_faces = data['arr_2'] 12 | # load face embeddings 13 | data = load('faces-embeddings.npz') 14 | trainX, trainy, testX, testy = data['arr_0'], data['arr_1'], data['arr_2'], data['arr_3'] 15 | # normalize input vectors 16 | input_encoder = Normalizer(norm='l2') 17 | trainX = input_encoder.transform(trainX) 18 | testX = input_encoder.transform(testX) 19 | # label encode targets 20 | output_encoder = LabelEncoder() 21 | output_encoder.fit(trainy) 22 | trainy = output_encoder.transform(trainy) 23 | testy = output_encoder.transform(testy) 24 | # fit model 25 | model = SVC(kernel='linear', probability=True) 26 | model.fit(trainX, trainy) 27 | # test model on a random example from the test dataset 28 | selection = choice([i for i in range(testX.shape[0])]) 29 | random_face_pixels = testX_faces[selection] 30 | random_face_emb = testX[selection] 31 | random_face_class = testy[selection] 32 | random_face_name = output_encoder.inverse_transform([random_face_class]) 33 | # prediction for the face 34 | samples = expand_dims(random_face_emb, axis=0) 35 | yhat_class = model.predict(samples) 36 | yhat_prob = model.predict_proba(samples) 37 | # get name 38 | class_index = yhat_class[0] 39 | class_probability = yhat_prob[0,class_index] * 100 40 | predict_names = output_encoder.inverse_transform(yhat_class) 41 | print('Predicted: %s (%.3f)' % (predict_names[0], class_probability)) 42 | print('Expected: %s' % random_face_name[0]) 43 | # plot for fun 44 | pyplot.imshow(random_face_pixels) 45 | title = '%s (%.3f)' % (predict_names[0], class_probability) 46 | pyplot.title(title) 47 | pyplot.show() -------------------------------------------------------------------------------- /face_embeddings.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | from keras.models import load_model 3 | 4 | # load the extracted faces dataset 5 | data = np.load('5-celebrity-faces-dataset.npz') 6 | trainX, trainy, testX, testy = data['arr_0'], data['arr_1'], data['arr_2'], data['arr_3'] 7 | print('Loaded: ', trainX.shape, trainy.shape, testX.shape, testy.shape) 8 | 9 | 10 | model = load_model('facenet_keras.h5') 11 | print('Loaded Model') 12 | model.summary() 13 | # This specific implementation of the FaceNet model expects that the pixel values are standardized 14 | # So, Standardizing the inputs 15 | # scale pixel values 16 | def get_embedding(model,face_pixels): 17 | face_pixels = face_pixels.astype('float32') 18 | # standardize pixel values across channels (global) 19 | mean, std = face_pixels.mean(), face_pixels.std() 20 | face_pixels = (face_pixels - mean) / std 21 | 22 | # To make predictions with FaceNet input vector needs to be in one sample 23 | # transform face into one sample 24 | samples = np.expand_dims(face_pixels, axis=0) 25 | 26 | # using model predictions to get face embedding for the images 27 | yhat = model.predict(samples) 28 | embedding = yhat[0] 29 | return embedding 30 | 31 | newtrainX = list() 32 | newtestX = list() 33 | for face_pixels in trainX: 34 | embedding = get_embedding(model,face_pixels) 35 | newtrainX.append(embedding) 36 | newtrainX = np.asarray(newtrainX) 37 | 38 | for face_pixels in testX: 39 | embedding = get_embedding(model,face_pixels) 40 | newtestX.append(embedding) 41 | newtestX = np.asarray(newtestX) 42 | 43 | np.savez_compressed('faces-embeddings.npz',newtrainX,trainy,newtestX,testy) 44 | 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