saya mengalami kesulitan untuk memahami fungsi dari training wajah dibawah ini

@login_required
def train(request):
	if request.user.username!='admin':
		return redirect('not-authorised')

	training_dir='face_recognition_data/training_dataset'



	count=0
	for person_name in os.listdir(training_dir):
		curr_directory=os.path.join(training_dir,person_name)
		if not os.path.isdir(curr_directory):
			continue
		for imagefile in image_files_in_folder(curr_directory):
			count+=1

	X=[]
	y=[]
	i=0

	for person_name in os.listdir(training_dir):
		print(str(person_name))
		curr_directory=os.path.join(training_dir,person_name)
		if not os.path.isdir(curr_directory):
			continue
		for imagefile in image_files_in_folder(curr_directory):
			print(str(imagefile))
			image=cv2.imread(imagefile)
			try:
				X.append((face_recognition.face_encodings(image)[0]).tolist())



				y.append(person_name)
				i+=1
			except:
				print("removed")
				os.remove(imagefile)



	targets=np.array(y)
	encoder = LabelEncoder()
	encoder.fit(y)
	y=encoder.transform(y)
	X1=np.array(X)
	print("shape: "+ str(X1.shape))
	np.save('face_recognition_data/classes.npy', encoder.classes_)
	svc = SVC(kernel='linear',probability=True)
	svc.fit(X1,y)
	svc_save_path="face_recognition_data/svc.sav"
	with open(svc_save_path, 'wb') as f:
		pickle.dump(svc,f)


	vizualize_Data(X1,targets)

	messages.success(request, f'Training Complete.')

	return render(request,"recognition/train.html")

avatar fikrinurfadillah
@fikrinurfadillah

2 Kontribusi 0 Poin

Dipost 3 tahun yang lalu

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