1) added Blob_Features.py -- compute 'kay + team' blob features for any one rgb image (ie uploaded by user from local computer) save features to csv and make multi panel plot of Blobs produced in each filter and save that to png in tmp/, 2) updated machine_learn.py -- given the features csv for uploaded image it now makes RandomForest classifer using oringinal Training Data and loads in features csv to predict if uploaded image contains people or food