python data augmentation for IMDB dataset

Dear python experts, I need to create a male/female dataset using the publicly available IMDB dataset. IMDB: "download faces only" 7 GB and also download meta data [login to view URL] Use Python’s SciPy library to parse the meta data. Following information is present in meta data dob: date of birth (MATLAB serial date number) photo_taken: year when the photo was taken full_path: path to the image gender: 0 for Female and 1 for Male, NaN if unknown face_score: detector score (the higher the better). second_face_score: detector score of the face with the second highest score. (useful to ignore images with more than one face). And this is NaN if no second face was detected. Do the basic clean up mentioned in the following url. [login to view URL] subtitle: Cleaning up noisy labels Copy all the male face into a directory named "male" and female faces into "female" directory. While copying resize the image into square size of 224x244. Deliver the python code to me and I will try the same at my end. Thanks