reduce datasize for 4GB GPU ram

make_sample.py

@@ -0,0 +1,22 @@
+import numpy as np
+from util import shuffle_dataset
+
+data_path = '/Users/ryanzotti/Documents/repos/Self_Driving_RC_Car'
+npzfile = np.load(data_path+'/final_processed_data_3_channels.npz')
+
+train_predictors = npzfile['train_predictors']
+train_targets = npzfile['train_targets']
+train_predictors, train_targets = shuffle_dataset(train_predictors, train_targets)
+train_predictors = train_predictors[:5000]
+train_targets = train_targets[:5000]
+
+validation_predictors = npzfile['validation_predictors']
+validation_targets = npzfile['validation_targets']
+validation_predictors, validation_targets = shuffle_dataset(validation_predictors, validation_targets)
+validation_predictors = validation_predictors[:2000]
+validation_targets = validation_targets[:2000]
+
+np.savez(data_path + '/training', predictors=train_predictors,targets=train_targets)
+np.savez(data_path + '/validation', predictors=validation_predictors,targets=validation_targets)
+
+print("Finished")