[{"title":"( 15 个子文件 326KB ) 面部表情识别使用CNN:使用Opencv和Tensorflow进行深度面部表情识别。 从图像或相机流中识别面部表情-源码","children":[{"title":"facial-expression-recognition-using-cnn-master","children":[{"title":"train.py <span style='color:#111;'> 6.99KB </span>","children":null,"spread":false},{"title":"lbpcascade_frontalface.xml <span style='color:#111;'> 50.64KB </span>","children":null,"spread":false},{"title":"parameters.py <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"optimize_hyperparams.py <span style='color:#111;'> 3.86KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"FER2013_strange_samples.png <span style='color:#111;'> 62.02KB </span>","children":null,"spread":false},{"title":"fer2013_incorrect_labels.png <span style='color:#111;'> 174.92KB </span>","children":null,"spread":false},{"title":"CNN_models_architecture.png <span style='color:#111;'> 65.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"convert_fer2013_to_images_and_landmarks.py <span style='color:#111;'> 6.52KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 7.42KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 3.94KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 34.32KB </span>","children":null,"spread":false},{"title":"predict-from-video.py <span style='color:#111;'> 3.40KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"readme.md <span style='color:#111;'> 9.10KB </span>","children":null,"spread":false},{"title":"data_loader.py <span style='color:#111;'> 4.30KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]