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Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial expression data sets have achieved good results. The speed is 78 fps on NVIDIA 1080Ti. If only face detection is performed, the speed can reach 158 fps. Finally, an emotional monitoring system was developed based on it.

Python 100.00%
face-detection facial-expression-recognition keras real-time tensorflow

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real-time-facial-expression-recognition-and-fast-face-detection's Issues

what is the accuracy of the test dataset?

Hello, thank you for the code you provided, I am very happy to run your code, may I ask what is the accuracy of your model in fer2013 data set? I run your plot_confusion _mat result is 68.9,and My environment is set up like yours.In addition,In addition, can your code be used for single image detection and video detection,Looking forward to your reply.

Unknown activation function:relu6

你好,我在运行 real_time_video(old).py 报错了,谷歌了一大圈,没有找到可以解决的方案,不知道是为啥,这边tensorflow 和 keras的版本都是按照你那边的要求安装的。希望能得到回复,感谢

cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:3718: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

Hi! I am kinda new to programming and whenever I try to run train_again_emotion.py, I get the following error:
File "train_again_emotion.py", line 81, in
crop_face=True
File "K:\ayesha 1\Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection-master\Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection-master\load_retrain_data.py", line 33, in load_retrain_data
image = cv2.resize(image, image_size, interpolation=cv2.INTER_AREA)
cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:3718: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

Could you please tell me, why this is happening? Thanks in advance :)

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