cv2.namedWindow("input")
while(True):
f, img = capture.read()
faces=self.mfaces.get_faces_from_image(img)
for face in faces:
face=self.mfaces.normalize(face)
prediction=self.mfaces.predict_actor_from_face_image(face)
print prediction
if int(prediction[0])==int(actor_index):
cv2.imshow("input",face)
cv2.waitKey(1)
#img=self.mfaces.normalize(img)
#prediction=self.mfaces.predict_actors_from_image(img)
#print prediction
#cv2.imshow("input", img)
#cv2.waitKey(1)
def __init__(self,faces,data_path="/tmp/videos/"):
self.mdata_path=data_path
self.mfaces=faces
self.mfaces.index_actors()
if not os.path.exists(self.mdata_path):
os.makedirs(self.mdata_path)
if __name__=='__main__':
mfaces=Faces()
mfaces.train()
mvideo=Video(mfaces)
# mvideo.get_actor_from_video("/home/volcan/Desktop/development/FlyingCircus/videos/JohnCleese/John_Cleese_Carefully_Considers_Your_Futile_Comments.avi"
mvideo.get_actor_from_video("/home/volcan/Desktop/development/FlyingCircus/videos/JohnCleese/The_Brain.flv"
,"nm0000092")
