to yolo

transform.py

import re

with open("labels_imagenes.csv", "r") as inp:
    content = inp.read()

out = open('algo.csv', 'a')
out_dict = dict()
for line in content.split('\n')[1:-1]:
    file, x, y, w, h, class_id = tuple(*re.findall(r'"(.+?),.+?x""""\:(\d+?)\b.+?y""""\:(\d+?)\b.+width"""":(\d+?)\b.+height"""":(\d+?)\b.+?idf"""":""""(.+?)"', line))
    xmax = int(x) + int(w)
    ymax = int(y) + int(h)
    object = f'{x},{y},{xmax},{ymax},{class_id}'    
    if file in out_dict:
        out_dict[file].append(object)
    else:
        out_dict[file] = [object]
for k, v in out_dict.items():
    out.write(f'{k} {" ".join(v)}\n')
out.close()