recognizer.train(x_train, np.array(y_labels)) cv2.error

[devchacha]

recognizer.train(x_train, np.array(y_labels)) cv2.error: OpenCV(4.0.1) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

How can I fix it?

[Rohitshrimal]

@devchacha it worked for me when i removed the "scaleFactor=1.5" from the below line . faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5)

[ganeshkarthik77]

recognizer.train(x_train, np.array(y_labels)) cv2.error: OpenCV(4.0.1) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

How can I fix it

[Abderrahmen33]

same problem

[georgiakais]

@ganeshkarthik77 and @Abderrahmen33
hello guys..i had the same problem and it worked with this: recognition=cv2.face.LBPHFaceRecognizer_create()

p.s: in the file face-train change the recognicer to recognition.

[brysonnoble]

Neither of these solutions worked for me. I will try to find another solution but if anyone found another fix, please help.

Edit: After further testing, I have found that large images will not work. I do not know the limit, but keeping each image under 200kb seems to work.

[Abderrahmen33]

i change the plan in using library face_recognition but problem in cmake always we find problem lol but i think with importing face_recognition its easy

[Abderrahmen33]

@georgiakais thnks alot anyway

[AndroidUnissula]

cv2.error: OpenCV(4.1.2) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

How can I fix it

[ZeusThe4th]

Hey Abderrahmen33. I see from the thread that you managed to solve the error. Mind helping? same error.

[gusck1997]

Same error, how can i fix it?

[piyush-creator]

Use more than one folder of images

[kajal86]

Traceback (most recent call last): File "c:/Users/Kajal/Visual studio/Automated-Attendance-System-By-Real-Time-Face-Reccognition-master/scripts/train.py", line 54, in recognizer.train(faces,np.array(faceid)) cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

having same error tried all the solutions above. plz help

[Abderrahmen33]

https://www.youtube.com/watch?v=TOUMUzVy24A this a video that i made

[image: Mailtrack] https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5& Sender notified by Mailtrack https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5& 12/06/20 à 12:04:41

On Fri, Jun 12, 2020 at 11:46 AM kajal86 notifications@github.com wrote:

Traceback (most recent call last): File "c:/Users/Kajal/Visual studio/Automated-Attendance-System-By-Real-Time-Face-Reccognition-master/scripts/train.py", line 54, in recognizer.train(faces,np.array(faceid)) cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

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[gauravtak077]

Abderrahmen plzzz help me i have save code as u but still i face this problem TypeError: Expected Ptr for argument 'labels'

[Abderrahmen33]

gauravtak077 contact me in may email abderrahmen.melliti@esprit.tn

[MiguelCodes]

I looked closely at the error, and I found the solution. (probably)

Removing minNeighbors and scaleFactor worked.

[gauravtak077]

I was try that but....error remain same...

On Wed, Jun 24, 2020, 12:36 AM MiguelCodes notifications@github.com wrote:

I looked closely at the error, and I found the solution. (probably)

Removing minNeighbors and scaleFactor worked.

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[Ruhan123]

OpenCV(4.3.0) C:\projects\opencv-python\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train' i am also facing this problem any one can help me

[Neerajms25]

more than one sample means

[SuatKrky]

recognizer.train(x_train, np.array(y_labels))

Traceback (most recent call last): File "C:\Users\LENOVO\Desktop\OpenCV\faces-train.py", line 47, in recognizer.train(x_train, np.array(y_labels)) cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-rwld3ghi\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

please help me I tried all the solutions but it's not working

[gauravtak077]

What is tha problem ...

On Sun, Sep 13, 2020, 8:45 PM SuatKrky notifications@github.com wrote:

recognizer.train(x_train, np.array(y_labels))

Traceback (most recent call last): File "C:\Users\LENOVO\Desktop\OpenCV\faces-train.py", line 47, in recognizer.train(x_train, np.array(y_labels)) cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-rwld3ghi\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

please help me I tried all the solutions but it's not working

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[LazarLeonard]

line 48, in recognizer.train(x_train, np.array(y_labels))

cv2.error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-5rb_9df3\opencv_contrib\modules\face\src\lbph_faces.cpp:265: error: (-213:The function/feature is not implemented) Using Original Local Binary Patterns for feature extraction only works on single-channel images (given 16). Please pass the image data as a grayscale image! in function 'cv::face::elbp'

How can I fix this problem?

[mosfiqunnahid]

recognizer.train(faces, np.array(Ids)) cv2.error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-r2ue8w6k\opencv_contrib\modules\face\src\lbph_faces.cpp:362: error: (-210:Unsupported format or combination of formats) Empty training data was given. You'll need more than one sample to learn a model. in function 'cv::face::LBPH::train'

How can I fix this problem?

[hritikhanda4]

The problem is rising because the classifier is getting more than one channel image(even you are using gray images) Solution is to again convert your image into Gray before training

Ex: def trainData( ): face_recognizer = cv2.face.LBPHFaceRecognizer_create() img=cv2.imread("data/1.jpg") face_recognizer.train([img],np.array([1])) return face_recognizer

Above code is giving error

Fix: def trainData( ): face_recognizer = cv2.face.LBPHFaceRecognizer_create() img=cv2.imread("data/1.jpg") img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # use this line to convert images into gray face_recognizer.train([img],np.array([1])) return face_recognizer

[ghost]

fix 'cv::face::LBPH::train' change size photo to "910x1137"

[mosfiqunnahid]

Thank You

On Fri, Jun 11, 2021 at 5:58 AM Zakaria Karim @.***> wrote:

fix 'cv::face::LBPH::train' change size photo to "910x1137"

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[Karthiktmv]

@devchacha it worked for me when i removed the "scaleFactor=1.5" from the below line . faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5)

@Rohitshrimal Thanks, It worked for me as well

[Rohitshrimal]

@Karthiktmv pleasure to know. Thanks

[ameermuhammed7777]

when i run this code "face_recognizer=cv2.face.LBPHFaceRecognizer_create()" i get an error "AttributeError: module 'cv2' has no attribute 'face'",how to fix it?