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Recognition

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-33334

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Face_Recognition

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+14

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`‎Face_Recognition/Recognition.py‎`

Lines changed: 4 additions & 3 deletions

Original file line number	Diff line number	Diff line change
`@@ -13,7 +13,7 @@`
`13`	`13`	`# We are using the trained yml file.`
`14`	`14`	`face_recognizer.read('face_trained.yml')`
`15`	`15`
`16`		`-# img = cv.imread(r'images\henry13円.jpg')`
	`16`	`+img = cv.imread(r'images\henry13円.jpg')`
`17`	`17`
`18`	`18`	`gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)`
`19`	`19`	`cv.imshow('Person', gray)`
`@@ -24,8 +24,9 @@`
`24`	`24`	`faces = gray[y:y+h, x:x+h]`
`25`	`25`
`26`	`26`	`label, confidence = face_recognizer.predict(faces)`
`27`		`- cv.putText(img, str(people[label]), (20, 20), cv.FONT_HERSHEY_COMPLEX, 1.0,`
`28`		`- (0, 255, 0), thickness=2)`
	`27`	`+ print(f'Label = {people[label]} with a confidence of {confidence}')`
	`28`	`+`
	`29`	`+ cv.putText(img, str(people[label]), (20, 20), cv.FONT_HERSHEY_COMPLEX, 1.0,(0, 255, 0), thickness=2)`
`29`	`30`	`cv.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), thickness=2)`
`30`	`31`
`31`	`32`	`cv.imshow('detected face', img)`

`‎Face_Recognition/face_train.py‎`

Lines changed: 10 additions & 17 deletions

Original file line number	Diff line number	Diff line change
`@@ -18,31 +18,25 @@`
`18`	`18`	`features = []`
`19`	`19`	`labels = []`
`20`	`20`
`21`		`-`
`22`		`-def train_face():`
	`21`	`+def train_face(features):`
`23`	`22`	`for person in people:`
`24`	`23`	`path = os.path.join(DIR, person)`
`25`	`24`	`label = people.index(person)`
`26`	`25`
`27`	`26`	`for img in os.listdir(path):`
`28`	`27`	`img_path = os.path.join(path,img)`
`29`		`-`
	`28`	`+`
`30`	`29`	`img_arr = cv.imread(img_path, flags=None)`
`31`		`- if img_arr is None:`
`32`		`- continue`
`33`		`- gray = cv.cvtColor(img_arr, cv.COLOR_BGR2GRAY)`
	`30`	`+ img_arr = np.array(img_arr)`
	`31`	`+ gray = cv.cvtColor(np.float32(img_arr), cv.COLOR_BGR2GRAY)`
`34`	`32`
`35`	`33`	`face_rect = haar_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=4)`
`36`	`34`
`37`	`35`	`for (x, y, w, h) in face_rect:`
`38`	`36`	`face = gray[y:y+h, x:x+w]`
`39`		`- # remove below 2 lines comment`
`40`		`- #features.append(face)`
`41`		`- #labels.append(label)`
`42`		`-`
`43`		`-`
`44`		`-train_face()`
`45`		`-`
	`37`	`+ features.append(face)`
	`38`	`+ labels.append(label)`
	`39`	`+train_face(features)`
`46`	`40`	`# Feature and labels numpy array`
`47`	`41`	`features = np.array(features, dtype='object')`
`48`	`42`	`labels = np.array(labels)`
`@@ -51,14 +45,13 @@ def train_face():`
`51`	`45`	`face_recognizer = cv.face.LBPHFaceRecognizer_create()`
`52`	`46`
`53`	`47`	`# Trained on features and the labels list`
`54`		`-face_recognizer.train(features,labels)`
	`48`	`+face_recognizer.train(features,labels)`
`55`	`49`
`56`	`50`	`# Just like haar cascade yml file, we can save this file in yml format so that`
`57`	`51`	`# we can easily access this trained model`
`58`	`52`	`face_recognizer.save('face_trained.yml')`
`59`	`53`
`60`	`54`	`# save the features and labels into the numpy file`
`61`	`55`	`# simply remove the comments of the below 2 line`
`62`		`-#`
`63`		`-# np.save('features.npy', features)`
`64`		`-# np.save('labels.npy',labels)`
	`56`	`+np.save('features.npy', features)`
	`57`	`+np.save('labels.npy',labels)`

`‎Face_Recognition/features.npy‎`

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Commit 81e7238

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5 files changed

`‎Face_Recognition/Recognition.py‎`

`‎Face_Recognition/face_train.py‎`

`‎Face_Recognition/features.npy‎`

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