| import os | |
| import numpy as np | |
| import random | |
| import argparse | |
| import pickle | |
| normalize_geometry_embeddings_list =[] | |
| for n in range(960): | |
| lx = (8/960)*n + 0.5 | |
| geometry_embeddings= [lx,3.5,1.5,8.8,3.5,1.5,9,7,3,0.35] | |
| max_dimension = 5 | |
| normalize_geometry_embeddings =np.divide(geometry_embeddings,max_dimension)-1 | |
| normalize_geometry_embeddings_list.append(normalize_geometry_embeddings) | |
| embeddings_pickle ="example1.pickle" | |
| with open(embeddings_pickle, 'wb') as f: | |
| pickle.dump(normalize_geometry_embeddings_list, f, protocol=2) |