|
|
| from skimage import io |
| from glob import glob |
| import numpy as np |
| import json |
| import os |
| import ipdb |
|
|
|
|
| class NpEncoder(json.JSONEncoder): |
| def default(self, obj): |
| if isinstance(obj, np.integer): |
| return int(obj) |
| elif isinstance(obj, np.floating): |
| return float(obj) |
| elif isinstance(obj, np.ndarray): |
| return obj.tolist() |
| else: |
| return super(NpEncoder, self).default(obj) |
|
|
| def build_split_files(): |
| root = '/Users/seolen/Seolen-Project/_group/gaozht/Dataset/JSRT_noise/' |
| phases = ['train', 'val'] |
| for phase in phases: |
| src_dir = root + phase + '/image/' |
| tar_path = root + 'split/%s.txt' % phase |
| sample_ids = sorted(os.listdir(src_dir)) |
| sample_ids = [sample_id[:-4] for sample_id in sample_ids if sample_id[0]!='.'] |
| with open(tar_path, 'w') as f: |
| for sample_id in sample_ids: |
| f.write(sample_id + '\n') |
|
|
