| 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) |
