Use OpenFace to extract features from gif dataset, preform clustering using knn methods Choose one social signal to create a training (80%) and test set (20%) . In order to test the performance,dataset should include confounding GIFs that are not the chosen social signal.
Use K-Nearest Neighbours (K=1 is acceptable) and 5-fold cross-validation to report the performance of K-NN classification and multidimensional DTW on created dataset
OpencvComputer visionArtificial intelligenceSklearnData science in python
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