Emotion Detection Python Easy Tutorial | Emotion Recognition Using CNN | Deep Learning – KERAS

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Hey Guys,
Hope you enjoying my AI tutorials using Keras and Tensorflow.

This is the video for facial emotion recognition using CNN.
Transfer learning is the best way to perform such a complicated task.
For this task, we will classify the emotions from the frame coming directly through your webcam or any external live camera.

This is a realtime emotion detection easy tutorial using python and Keras.

You can use this video as realtime emotion detection using python.

Please do share and subscribe for more interesting videos.

Dataset :- https://drive.google.com/open?id=1E66iZdNz021aUZGsZjtc3EUu3NqAaIq3

Source Code :- https://github.com/code-by-dt/emotion_detection

Facial Landmark Detection OpenCV Too Easy Tutorial https://youtu.be/16bzzVaqKCk

Computer Vision Programs :- https://www.youtube.com/playlist?list=PLgNUGWgXIL4pWASWqSdAvYupEocaktF2D

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Comments

Pavani Dulmali says:

I am unable to download the data set from google drive. Can you please help me with that issue.

Hina Allauddin says:

How to get exactly this output in Android app using Android studio ??

digvijay yadav says:

so any one model is sufficient right ?

Daniel Medrano says:

Hola me sale este error

error: OpenCV(3.4.2) C:Miniconda3conda-bldopencv-suite_1534379934306workmodulesobjdetectsrccascadedetect.cpp:1698: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'

rahul singh says:

i have been trying to contact you from several days but i think there is some kind of problem can you help me up i have some problems to discuss !

Pratik Satpathy says:

only 60% accuracy 🙁 🙁

Pratik Satpathy says:

Epoch 00015: val_loss did not improve from 1.18135

Epoch 16/25

755/755 [==============================] – 409s 542ms/step – loss: 1.0581 – accuracy: 0.5831 – val_loss: 1.2328 – val_accuracy: 0.5881

Restoring model weights from the end of the best epoch

Epoch 00016: val_loss did not improve from 1.18135

Epoch 00016: ReduceLROnPlateau reducing learning rate to 0.00020000000949949026.

Epoch 00016: early stopping
What to do? Please help me 🙁

Aaryneil Red says:

TypeError: can only concatenate tuple (not "list") to tuple

history = model.fit_generator(

I'm getting this error can you help me resolve it?

Thai Hoc Nguyen says:

W0w You was pre-trained model is very nice in my scene

Sajida Ghaffar says:

Lots of error after Epoch 1/25, what should I do?
Also an error on this line "validation_steps=nb_validation_samples//batch_size"

Hounaida Ayari says:

thank you very much for this video, I want to know how did you define the number of convolutional layers, is there a process or you are inspired by an architecture that already exists like vgg16 and ALEXNET

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