Implement extraction command

Requires !9 (merged)

Closes #9 (closed)

Datasets/dataset_formatters/utils_dataset.py

-import re
-import random
-import cv2
-import json
-random.seed(42)
-
-
-def natural_sort(l):
-    convert = lambda text: int(text) if text.isdigit() else text.lower()
-    alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', key)]
-    return sorted(l, key=alphanum_key)
-
-
-def assign_random_split(train_prob, val_prob):
-    """ 
-    assuming train_prob + val_prob + test_prob = 1
-    """
-    prob = random.random()
-    if prob <= train_prob:
-        return "train"
-    elif prob <= train_prob + val_prob:
-        return "val"
-    else:
-        return "test"
-
-def save_text(path, text):
-    with open(path, 'w') as f:
-        f.write(text)
-
-def save_image(path, image):
-    cv2.imwrite(path, cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
-
-def save_json(path, dict):
-    with open(path, "w") as outfile:
-        json.dump(dict, outfile, indent=4)
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