In order to evaluate the performance of a classification model, we have to draw a roc curve based on fpr and tpr. In this tutorial, we will introduce you how to do.
sklearn.metrics.roc_curve() can allow us to compute receiver operating characteristic (ROC) easily. In this tutorial, we will use some examples to show you how to use it.
In this tutorial, we will introduce how to extract audio or voice from a video file in python with mono or stereo. We will use python moviepy library to extract.
When we are comparing two images, we have to compute the similarity score between them. In this tutorial, we will compute its similarity score using python opencv sift.
When we are using python opencv to compare the similarity of two images, we may get this error: AttributeError: module ‘cv2’ has no attribute ‘xfeatures2d’.
In speaker verification task, we often use EER to measure the performance of a deep learning model. However, if you also need to compute Recall, we will tell you how to do in this tutorial.