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| import numpy as np | |
| import os | |
| import sys | |
| abs_barc_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..',)) | |
| # stanext dataset | |
| # (1) path to stanext dataset | |
| STAN_V12_ROOT_DIR = abs_barc_dir + '/datasets/StanfordExtra_V12/' | |
| IMG_V12_DIR = os.path.join(STAN_V12_ROOT_DIR, 'StanExtV12_Images') | |
| JSON_V12_DIR = os.path.join(STAN_V12_ROOT_DIR, 'labels', "StanfordExtra_v12.json") | |
| STAN_V12_TRAIN_LIST_DIR = os.path.join(STAN_V12_ROOT_DIR, 'labels', 'train_stanford_StanfordExtra_v12.npy') | |
| STAN_V12_VAL_LIST_DIR = os.path.join(STAN_V12_ROOT_DIR, 'labels', 'val_stanford_StanfordExtra_v12.npy') | |
| STAN_V12_TEST_LIST_DIR = os.path.join(STAN_V12_ROOT_DIR, 'labels', 'test_stanford_StanfordExtra_v12.npy') | |
| # (2) path to related data such as breed indices and prepared predictions for withers, throat and eye keypoints | |
| STANEXT_RELATED_DATA_ROOT_DIR = os.path.join(os.path.dirname(__file__), '..', '..', 'data', 'stanext_related_data') | |
| # image crop dataset (for demo, visualization) | |
| TEST_IMAGE_CROP_ROOT_DIR = os.path.join(os.path.dirname(__file__), '..', '..', 'datasets', 'test_image_crops') | |