def _load_emoticons(emotions):
"""
Loads emotions images from graphics folder.
:param emotions: Array of emotions names.
:return: Array of emotions graphics.
"""
l=[nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1), mode=None) for emotion in emotions]
for emotion in emotions:
print(emotion,nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1), mode=None))
return l
def _load_emoticons(emotions):
"""
Loads emotions images from graphics folder.
:param emotions: Array of emotions names.
:return: Array of emotions graphics.
"""
return [nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1), mode=None) for emotion in emotions]
def _load_emoticons(emotions):
"""
Loads emotions images from graphics folder.
"""
return [
nparray_as_image(cv2.imread('C:\\faceMoji\\graphics\\%s.png' % emotion,
-1),
mode=None) for emotion in emotions
] #emotions: Array of emotions names which returns Array of emotions graphics
def _load_emoticons(emotions):
"""
carga los emojis desde la carpeta.
:param emotions: Lisa con el nombre de la emociones.
:return: lista de los emojis.
"""
return [
nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1),
mode=None) for emotion in emotions
]
emotion_dict = {
0: "Angry",
1: "Disgusted",
2: "Fearful",
3: "Happy",
4: "Neutral",
5: "Sad",
6: "Surprised"
}
# To load the emoticons emotions
emotions = [
'Angry', 'Disgusted', 'Fearful', 'Happy', 'Neutral', 'Sad', 'Surprised'
]
emoticons = [
nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1), mode=None)
for emotion in emotions
]
# start the webcam feed
print("Start")
url = "http://10.12.139.207:8080/shot.jpg"
#cap = cv2.VideoCapture(0)
while True:
img_resp = requests.get(url)
img_arr = np.array(bytearray(img_resp.content), dtype=np.uint8)
img = cv2.imdecode(img_arr, -1)
def _load_emoticons(emotions):
return [
nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1),
mode=None) for emotion in emotions
]
model.add(Dense(1024, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(7, activation='softmax'))
# emotions will be displayed on your face from the webcam feed
model.load_weights('model5.h5')
# prevents openCL usage and unnecessary logging messages
cv2.ocl.setUseOpenCL(False)
# dictionary which assigns each label an emotion (alphabetical order)
emotion_dict = {0: "Angry", 1: "Disgusted", 2: "Fearful", 3: "Happy", 4: "Neutral", 5: "Sad", 6: "Surprised"}
# To load the emoticons emotions
emotions = ['Angry', 'Disgusted', 'Fearful', 'Happy', 'Neutral', 'Sad', 'Surprised']
emoticons = [nparray_as_image(cv2.imread('graphics/%s.png' % emotion, -1), mode=None) for emotion in emotions]
# start the webcam feed
print("Start")
url = "http://10.12.139.207:8080/shot.jpg"
#cap = cv2.VideoCapture(0)
while True:
img_resp = requests.get(url)
img_arr = np.array(bytearray(img_resp.content), dtype = np.uint8)
img = cv2.imdecode(img_arr, -1)
img = cv2.flip(img, 1)
facecasc = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
