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Hussam Hourani's video: Python in Arabic 60 FaceDetection Facial Emotion Recognition

@Python in Arabic #60 FaceDetection, Facial Emotion Recognition اكتشاف الوجوه وتعابير الوجوه والاشخاص
https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/ https://towardsdatascience.com/mtcnn-face-detection-cdcb20448ce0 https://github.com/ipazc/mtcnn/blob/master/example.py https://github.com/abhijeet3922/FaceEmotion_ID https://github.com/abhijeet3922/FaceEmotion_ID/tree/master/test https://appliedmachinelearning.blog/2018/11/28/demonstration-of-facial-emotion-recognition-on-real-time-video-using-cnn-python-keras/ https://github.com/abhijeet3922/FaceEmotion_ID/tree/master/models https://github.com/abhijeet3922/FaceEmotion_ID/tree/master/haarcascade_files https://appliedmachinelearning.blog/2018/11/28/demonstration-of-facial-emotion-recognition-on-real-time-video-using-cnn-python-keras/ https://appliedmachinelearning.blog/2018/11/28/demonstration-of-facial-emotion-recognition-on-real-time-video-using-cnn-python-keras/ https://github.com/abhijeet3922/FaceEmotion_ID/blob/master/facial_emotion_image.py https://github.com/abhijeet3922/FaceEmotion_ID/blob/master/real_time_video.py https://github.com/abhijeet3922/FaceEmotion_ID/blob/master/train_emotion_classifier.py https://machinelearningmastery.com/how-to-perform-face-recognition-with-vggface2-convolutional-neural-network-in-keras/

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This video was published on 2019-10-09 21:14:58 GMT by @Hussam-Hourani on Youtube. Hussam Hourani has total 51.2K subscribers on Youtube and has a total of 288 video.This video has received 236 Likes which are higher than the average likes that Hussam Hourani gets . @Hussam-Hourani receives an average views of 2.2K per video on Youtube.This video has received 23 comments which are higher than the average comments that Hussam Hourani gets . Overall the views for this video was lower than the average for the profile.

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