udaram / real-time-facial-expression-recognition

Real Time Facial Expression Recognition with Deep Learning with keras

Real time Facial Expression Recogniser

This repository contains the real time facial Expression recogniser.

It can predict the 7 below expressions

• 0:"Angry",
• 1:"Disgust",
• 2:"Fear",
• 3:"Happy",
• 4:"Sad",
• 5:"Surprise",
• 6:"Neutral" of the person in real time (person standing infront of camera)

The Deep Learning model is trainind on the around 29,000 imges of persons with different facial expressions. Link :-https://drive.google.com/file/d/1mvoYppdeiOSLx2lGE7Ow6rGlU5IIXxy6/view?usp=sharing

Results

real-time-facial-expression-recognition's Issues

csv file does not exist.

It is saying that " File b'fer2013.csv' does not exist ". How to get the csv file.

Image.Reshape Error

On cell # 6 , Image.Reshape(image.reshape[0] is giving the error to the array can not transform.

create convolutional model error

i use jupyter notebook with anaconda, my problem happen when i run the code below
#####################
classes=7
model = create_convolutional_model(classes)
model.summary()
######################

AttributeError Traceback (most recent call last)
in
1 classes=7
----> 2 model = create_convolutional_model(classes)
3 model.summary()

in create_convolutional_model(classes)
1 def create_convolutional_model(classes):
2 model = Sequential()
----> 3 model.add(Conv2D(32,kernel_size=(2,2),strides=(1,1),activation='relu',input_shape=(48,48,1)))
4 model.add(BatchNormalization())
5 model.add(MaxPooling2D(pool_size=(2,2),strides=(2,2)))

~\anaconda3\envs\tf\lib\site-packages\keras\engine\sequential.py in add(self, layer)
164 # and create the node connecting the current layer
165 # to the input layer we just created.
--> 166 layer(x)
167 set_inputs = True
168 else:

~\anaconda3\envs\tf\lib\site-packages\keras\backend\tensorflow_backend.py in symbolic_fn_wrapper(*args, **kwargs)
73 if _SYMBOLIC_SCOPE.value:
74 with get_graph().as_default():
---> 75 return func(*args, **kwargs)
76 else:
77 return func(*args, **kwargs)

~\anaconda3\envs\tf\lib\site-packages\keras\engine\base_layer.py in call(self, inputs, **kwargs)
444 # Raise exceptions in case the input is not compatible
445 # with the input_spec specified in the layer constructor.
--> 446 self.assert_input_compatibility(inputs)
447
448 # Collect input shapes to build layer.

~\anaconda3\envs\tf\lib\site-packages\keras\engine\base_layer.py in assert_input_compatibility(self, inputs)
308 for x in inputs:
309 try:
--> 310 K.is_keras_tensor(x)
311 except ValueError:
312 raise ValueError('Layer ' + self.name + ' was called with '

~\anaconda3\envs\tf\lib\site-packages\keras\backend\tensorflow_backend.py in is_keras_tensor(x)
693 ```
694 """
--> 695 if not is_tensor(x):
696 raise ValueError('Unexpectedly found an instance of type ' + 697 str(type(x)) + '. '

~\anaconda3\envs\tf\lib\site-packages\keras\backend\tensorflow_backend.py in is_tensor(x)
701
702 def is_tensor(x):
--> 703 return isinstance(x, tf_ops._TensorLike) or tf_ops.is_dense_tensor_like(x)
704
705

AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'

xml file is not provided

please send the xml file.