def setUp(self):
# we open the sheets
# we get the hash table with correspondences
self.fields_correspondences = get_correspondences()
pass
import pyexcel as pe
from correspondences import get_correspondences
def process_english_db(fields_correspondences,
filename="data/bd-inglesa.xlsx"):
## Read the sheet (we need to specify the correct sheet of the book)
sheet = pe.get_sheet(file_name=filename, sheet_name="Proximates")
# Get field names
row_names = sheet.row[0]
n_fields = len(row_names)
for i in range(n_fields):
row_names[i] = fields_correspondences[row_names[i]]
# Save all the changes
sheet.row[0] = row_names
sheet.save_as("data/processed-english-db.xlsx")
pass
if __name__ == "__main__":
fields_correspondences = get_correspondences()
process_english_db(fields_correspondences)
# driver function
if __name__ == "__main__":
DEBUG = False
if len(sys.argv) > 1:
if sys.argv[1] == 'debug':
DEBUG == True
if not DEBUG:
image1_path = get_image_path("Select first image")
image2_path = get_image_path("Select second image")
dialog = mb.askyesno(
'Mark Points', 'Mark points on images?(No: Load from text file)')
if dialog:
first_image_positions, second_image_positions = get_correspondences(
image1_path, image2_path)
else:
root = tk.Tk()
dummy = root.withdraw()
points_path = filedialog.askopenfilename(
initialdir=".",
title='Load points file',
filetypes=(("all files", "*.*"), ("png files", "*.png"),
("txt files", "*.txt")))
first_image_positions, second_image_positions = load_correspondences(
points_path)
stitched_image = stitch_image(image1_path, image2_path,
first_image_positions,
second_image_positions)