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Commit f30ababb authored by Timothé Boulet's avatar Timothé Boulet :alien:
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maj game.py

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buildEmotionModel.ipynb
+ 135
− 47
View file @ f30ababb
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game.py
+ 9
− 10
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...@@ -7,7 +7,6 @@ from config import emotions ...@@ -7,7 +7,6 @@ from config import emotions
cap = cv2.VideoCapture(0) #0 means we capture the first camera, your webcam probably cap = cv2.VideoCapture(0) #0 means we capture the first camera, your webcam probably
score = 0 score = 0
t = 0
N = 15 N = 15
def smileyRandom(emotionToDodge): def smileyRandom(emotionToDodge):
...@@ -25,8 +24,8 @@ while cap.isOpened(): #or while 1. cap.isOpened() is false if there is a probl ...@@ -25,8 +24,8 @@ while cap.isOpened(): #or while 1. cap.isOpened() is false if there is a probl
if not ret: break if not ret: break
emotionsList = ip.imageProcess(frame, returnEmotion=True) emotionsList = ip.imageProcess(frame, returnEmotion=True)
if len(emotionsList)==1:
if emotionsList[0] == emotion: #If emotion recognized, increase score, reset smiley to mimick and write "GG!" if emotion in emotionsList: #If emotion recognized, increase score, reset smiley to mimick and write "GG!"
score += 1 score += 1
cv2.putText(smiley, "Emotion reconnue !", (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2) cv2.putText(smiley, "Emotion reconnue !", (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2)
cv2.imshow("Smiley", smiley) cv2.imshow("Smiley", smiley)
...@@ -34,13 +33,13 @@ while cap.isOpened(): #or while 1. cap.isOpened() is false if there is a probl ...@@ -34,13 +33,13 @@ while cap.isOpened(): #or while 1. cap.isOpened() is false if there is a probl
cv2.imshow("Caméra", frame) #Show you making emotional faces cv2.imshow("Caméra", frame) #Show you making emotional faces
cv2.putText(smiley, "Score: "+str(score), (20,20), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2) cv2.putText(smiley, "Score: "+str(score), (40,40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2)
cv2.imshow("Smiley", smiley) #Show the smiley to mimic cv2.imshow("Smiley", smiley) #Show the smiley to mimic
if cv2.waitKey(1) & 0xFF == ord('q'): #If you press Q, stop the while and so the capture if cv2.waitKey(1) & 0xFF == ord('q'): #If you press Q, stop the while and so the capture
break break
if cv2.waitKey(1) & 0xFF == ord('p'): #If you press P, pass the smiley but lower your score elif cv2.waitKey(1) & 0xFF == ord('p'): #If you press P, pass the smiley but lower your score
score -= 1 score -= 1
smiley, emotion = smileyRandom(emotion) smiley, emotion = smileyRandom(emotion)
......
models/exp906/keras_metadata.pb 0 → 100644
+ 25
− 0
View file @ f30ababb
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root.layer_with_weights-0"_tf_keras_layer*
{"name": "conv2d", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": {"class_name": "__tuple__", "items": [null, 48, 48, 1]}, "stateful": false, "must_restore_from_config": false, "class_name": "Conv2D", "config": {"name": "conv2d", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 48, 48, 1]}, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 2}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 3, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1}}, "shared_object_id": 50}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 48, 48, 1]}}2
 root.layer-1"_tf_keras_layer*{"name": "max_pooling2d", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "shared_object_id": 4, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 52}}2
root.layer_with_weights-1"_tf_keras_layer*{"name": "batch_normalization", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "BatchNormalization", "config": {"name": "batch_normalization", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 5}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 6}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 7}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 8}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "shared_object_id": 9, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 32}}, "shared_object_id": 53}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 23, 23, 32]}}2
root.layer_with_weights-2"_tf_keras_layer* {"name": "conv2d_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 10}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 11}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 12, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 32}}, "shared_object_id": 54}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 23, 23, 32]}}2
 root.layer-4"_tf_keras_layer*{"name": "max_pooling2d_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "shared_object_id": 13, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 55}}2
root.layer_with_weights-3"_tf_keras_layer*{"name": "batch_normalization_1", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "BatchNormalization", "config": {"name": "batch_normalization_1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 14}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 15}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 16}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 17}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "shared_object_id": 18, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 64}}, "shared_object_id": 56}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 10, 10, 64]}}2
root.layer_with_weights-4"_tf_keras_layer* {"name": "conv2d_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 19}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 20}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 21, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 64}}, "shared_object_id": 57}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 10, 10, 64]}}2
 root.layer-7"_tf_keras_layer*{"name": "max_pooling2d_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "shared_object_id": 22, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 58}}2
 root.layer_with_weights-5"_tf_keras_layer*{"name": "batch_normalization_2", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "BatchNormalization", "config": {"name": "batch_normalization_2", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 23}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 24}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 25}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 26}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "shared_object_id": 27, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}, "shared_object_id": 59}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 4, 4, 128]}}2

root.layer_with_weights-6"_tf_keras_layer* {"name": "conv2d_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "valid", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 28}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 29}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 30, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}, "shared_object_id": 60}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 4, 4, 128]}}2
  root.layer-10"_tf_keras_layer*{"name": "max_pooling2d_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_3", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "valid", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "shared_object_id": 31, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}, "shared_object_id": 61}}2
 root.layer_with_weights-7"_tf_keras_layer*{"name": "batch_normalization_3", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "BatchNormalization", "config": {"name": "batch_normalization_3", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 32}, "gamma_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 33}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 34}, "moving_variance_initializer": {"class_name": "Ones", "config": {}, "shared_object_id": 35}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "shared_object_id": 36, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}, "shared_object_id": 62}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 1, 1, 256]}}2
  root.layer-12"_tf_keras_layer*{"name": "flatten", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "shared_object_id": 37, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 1, "axes": {}}, "shared_object_id": 63}}2
root.layer_with_weights-8"_tf_keras_layer*{"name": "dense", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 38}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 39}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 40, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 256}}, "shared_object_id": 64}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 256]}}2
 root.layer-14"_tf_keras_layer*{"name": "dropout", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dropout", "config": {"name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}, "shared_object_id": 41}2
root.layer_with_weights-9"_tf_keras_layer*{"name": "dense_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 42}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 43}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 44, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 128}}, "shared_object_id": 65}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 128]}}2
 root.layer-16"_tf_keras_layer*{"name": "dropout_1", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}, "shared_object_id": 45}2
root.layer_with_weights-10"_tf_keras_layer*{"name": "dense_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 7, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 46}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 47}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 48, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 64}}, "shared_object_id": 66}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 64]}}2
root.keras_api.metrics.0"_tf_keras_metric*{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 67}2
root.keras_api.metrics.1"_tf_keras_metric*{"class_name": "MeanMetricWrapper", "name": "accuracy", "dtype": "float32", "config": {"name": "accuracy", "dtype": "float32", "fn": "categorical_accuracy"}, "shared_object_id": 51}2
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models/exp906/variables/variables.data-00000-of-00001 0 → 100644
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test.py
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import numpy as np
A = np.array([ [[1,2],[3,4]] , [[5,6],[7,8]] , [[1,2],[3,4]]]) import cv2
B = np.array([ [[1,2],[3,4]] , [[5,6],[7,8]] ]) while 1:
A = A.tolist() if cv2.waitKey(0) & 0xFF== ord('q'): #If you press Q, stop the while and so the capture
B = B.tolist() break
C = np.stack(A+B, axis = 0)
print(C.shape) if cv2.waitKey(1) & 0xFF == ord('p'): #If you press P, pass the smiley but lower your score
\ No newline at end of file score -= 1
smiley, emotion = smileyRandom(emotion)
print(1)
cv2.waitKey(2)
\ No newline at end of file
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