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I broke the library for a second now it is fixed
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imagepreprocessing/darknet_functions.py

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from shutil import copyfile
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from imagepreprocessing.internal_functions.file_operations import __read_from_file, __write_to_file
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from imagepreprocessing.internal_functions.convert_annotations import __convert_annotations_opencv_to_yolo, __convert_annotations_yolo_to_opencv
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from imagepreprocessing.internal_functions.other_functions import __run_shell_command
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from imagepreprocessing.internal_functions.cfg_templates import __get_cfg_template
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from imagepreprocessing.__file_operations import __read_from_file, __write_to_file
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from imagepreprocessing.__convert_annotations import __convert_annotations_opencv_to_yolo, __convert_annotations_yolo_to_opencv
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from imagepreprocessing.__other_functions import __run_shell_command
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from imagepreprocessing.__cfg_templates import __get_cfg_template
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# yolo functions

imagepreprocessing/keras_functions.py

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import itertools
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from shutil import copyfile
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from imagepreprocessing.internal_functions.file_operations import __read_from_file, __write_to_file
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from imagepreprocessing.__file_operations import __read_from_file, __write_to_file
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# keras functions
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imagepreprocessing/utilities.py

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import pickle
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import itertools
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from imagepreprocessing.internal_functions.file_operations import __read_from_file, __write_to_file
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from imagepreprocessing.__file_operations import __read_from_file, __write_to_file
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# utilities
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def train_test_split(train_x, train_y, test_size=0.2, save_path=None):
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return new_train_x, new_train_y, test_x, test_y
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def create_confusion_matrix2(predictions, actual_values, class_names=None, one_hot=False, normalize=False, cmap_color="Greens"):
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def create_confusion_matrix(predictions, actual_values, class_names=None, one_hot=False, normalize=False, cmap_color="Greens"):
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"""
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Creates a confusion matrix
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setup.py

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setuptools.setup(
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name="imagepreprocessing",
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version="1.6.0",
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version="1.6.1",
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author="Can Kurt",
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author_email="[email protected]",
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description="image preprocessing",

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