set_cropper.py

# Galen Weld, Feb 2019
# Use this to extract sliding window datasets crops and sidecars
# from CSVs produced using make_train_test_sets.ipynb
# row in the csv should be
# Pano ID, SV_x, SV_y, Label, Photog Heading, Heading, Label ID 

from GSVutils.utils import bulk_extract_crops
import os


# use this to make new sliding window crops for analysis
#bulk_extract_crops('sliding_window_crops_to_make.csv', 'sliding_window/new_sliding_window_crops/')

# this to make dataset
#bulk_extract_crops('dataset_csvs/Val.csv', 'new_ds_exports/Val/')

# this to make old dataset
#bulk_extract_crops('new_old_dataset_csvs/Val.csv', '/mnt/e/old_dataset/val/')
#bulk_extract_crops('new_old_dataset_csvs/Train.csv', '/mnt/e/old_dataset/train/')

# this to make newberg centered dataset
#bulk_extract_crops('new_cities/newberg-labels-researchers.csv', '/mnt/g/newberg_center_crops_researchers/', '/mnt/g/scrapes_dump_newberg')
#bulk_extract_crops('new_cities/newberg-labels.csv', '/mnt/e/newberg_center_crops_all/', '/mnt/e/scrapes_dump_newberg')
#bulk_extract_crops('new_cities/newberg-labels-null.csv', '/mnt/g/newberg_center_crops_researchers/', '/mnt/g/scrapes_dump_newberg')

# use this to make seattle centered dataset
#bulk_extract_crops('new_cities/seattle-labels-researcher-plus-validated.csv', '/mnt/g/seattle_center_crops_researchers/', '/mnt/g/scrapes_dump_seattle')
bulk_extract_crops('new_cities/seattle-labels-null.csv', '/mnt/g/seattle_center_crops_researchers/', '/mnt/g/scrapes_dump_seattle')



# use this to make ground truth centered crops dataset
#bulk_extract_crops('ground_truth/ground_truth_labels.csv', '/mnt/g/ground_truth_cc_dataset/')
#bulk_extract_crops('ground_truth/ground_truth_labels-null.csv', '/mnt/g/ground_truth_cc_dataset/')