




'''simple docstring'''





import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
__SCREAMING_SNAKE_CASE 						=(720, 1_280)  # Height, Width
__SCREAMING_SNAKE_CASE 						=(0.4, 0.6)  # if height or width lower than this scale, drop it.
__SCREAMING_SNAKE_CASE 						=1 / 100
__SCREAMING_SNAKE_CASE 						=""""""
__SCREAMING_SNAKE_CASE 						=""""""
__SCREAMING_SNAKE_CASE 						=""""""
__SCREAMING_SNAKE_CASE 						=250

def 			a   ():
							SCREAMING_SNAKE_CASE_   	=    get_dataset(SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_     )
							for index in range(SCREAMING_SNAKE_CASE_     ):
														SCREAMING_SNAKE_CASE_   	=    random.sample(range(len(SCREAMING_SNAKE_CASE_     )     )  ,    4     )
														SCREAMING_SNAKE_CASE_   	=    update_image_and_anno(
														    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_  ,    filter_scale=SCREAMING_SNAKE_CASE_  ,    )

														# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
														SCREAMING_SNAKE_CASE_   	=    random_chars(3_2     )
														SCREAMING_SNAKE_CASE_   	=    path.split(os.sep     )[-1].rsplit('''.'''  ,    1     )[0]
														SCREAMING_SNAKE_CASE_   	=    F"{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"
														cva.imwrite(F"{file_root}.jpg"  ,    SCREAMING_SNAKE_CASE_  ,    [cva.IMWRITE_JPEG_QUALITY, 8_5]     )
														print(F"Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"     )
														SCREAMING_SNAKE_CASE_   	=    []
														for anno in new_annos:
																					SCREAMING_SNAKE_CASE_   	=    anno[3] - anno[1]
																					SCREAMING_SNAKE_CASE_   	=    anno[4] - anno[2]
																					SCREAMING_SNAKE_CASE_   	=    anno[1] + width / 2
																					SCREAMING_SNAKE_CASE_   	=    anno[2] + height / 2
																					SCREAMING_SNAKE_CASE_   	=    F"{anno[0]} {x_center} {y_center} {width} {height}"
																					annos_list.append(SCREAMING_SNAKE_CASE_     )
														with open(F"{file_root}.txt"  ,    '''w'''     ) as outfile:
																					outfile.write('''\n'''.join(line for line in annos_list     )     )

def 			a   (_lowerCAmelCase  ,    _lowerCAmelCase     ):
							SCREAMING_SNAKE_CASE_   	=    []
							SCREAMING_SNAKE_CASE_   	=    []
							for label_file in glob.glob(os.path.join(SCREAMING_SNAKE_CASE_  ,    '''*.txt'''     )     ):
														SCREAMING_SNAKE_CASE_   	=    label_file.split(os.sep     )[-1].rsplit('''.'''  ,    1     )[0]
														with open(SCREAMING_SNAKE_CASE_     ) as in_file:
																					SCREAMING_SNAKE_CASE_   	=    in_file.readlines()
														SCREAMING_SNAKE_CASE_   	=    os.path.join(SCREAMING_SNAKE_CASE_  ,    F"{label_name}.jpg"     )

														SCREAMING_SNAKE_CASE_   	=    []
														for obj_list in obj_lists:
																					SCREAMING_SNAKE_CASE_   	=    obj_list.rstrip('''\n'''     ).split(''' '''     )
																					SCREAMING_SNAKE_CASE_   	=    float(obj[1]     ) - float(obj[3]     ) / 2
																					SCREAMING_SNAKE_CASE_   	=    float(obj[2]     ) - float(obj[4]     ) / 2
																					SCREAMING_SNAKE_CASE_   	=    float(obj[1]     ) + float(obj[3]     ) / 2
																					SCREAMING_SNAKE_CASE_   	=    float(obj[2]     ) + float(obj[4]     ) / 2

																					boxes.append([int(obj[0]     ), xmin, ymin, xmax, ymax]     )
														if not boxes:
																					continue
														img_paths.append(SCREAMING_SNAKE_CASE_     )
														labels.append(SCREAMING_SNAKE_CASE_     )
							return img_paths, labels

def 			a   (_lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase = 0.0  ,    ):
							SCREAMING_SNAKE_CASE_   	=    np.zeros([output_size[0], output_size[1], 3]  ,    dtype=np.uinta     )
							SCREAMING_SNAKE_CASE_   	=    scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
							SCREAMING_SNAKE_CASE_   	=    scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
							SCREAMING_SNAKE_CASE_   	=    int(scale_x * output_size[1]     )
							SCREAMING_SNAKE_CASE_   	=    int(scale_y * output_size[0]     )

							SCREAMING_SNAKE_CASE_   	=    []
							SCREAMING_SNAKE_CASE_   	=    []
							for i, index in enumerate(SCREAMING_SNAKE_CASE_     ):
														SCREAMING_SNAKE_CASE_   	=    all_img_list[index]
														path_list.append(SCREAMING_SNAKE_CASE_     )
														SCREAMING_SNAKE_CASE_   	=    all_annos[index]
														SCREAMING_SNAKE_CASE_   	=    cva.imread(SCREAMING_SNAKE_CASE_     )
														if i == 0:  # top-left
																					SCREAMING_SNAKE_CASE_   	=    cva.resize(SCREAMING_SNAKE_CASE_  ,    (divid_point_x, divid_point_y)     )
																					SCREAMING_SNAKE_CASE_   	=    img
																					for bbox in img_annos:
																												SCREAMING_SNAKE_CASE_   	=    bbox[1] * scale_x
																												SCREAMING_SNAKE_CASE_   	=    bbox[2] * scale_y
																												SCREAMING_SNAKE_CASE_   	=    bbox[3] * scale_x
																												SCREAMING_SNAKE_CASE_   	=    bbox[4] * scale_y
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]     )
														elif i == 1:  # top-right
																					SCREAMING_SNAKE_CASE_   	=    cva.resize(SCREAMING_SNAKE_CASE_  ,    (output_size[1] - divid_point_x, divid_point_y)     )
																					SCREAMING_SNAKE_CASE_   	=    img
																					for bbox in img_annos:
																												SCREAMING_SNAKE_CASE_   	=    scale_x + bbox[1] * (1 - scale_x)
																												SCREAMING_SNAKE_CASE_   	=    bbox[2] * scale_y
																												SCREAMING_SNAKE_CASE_   	=    scale_x + bbox[3] * (1 - scale_x)
																												SCREAMING_SNAKE_CASE_   	=    bbox[4] * scale_y
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]     )
														elif i == 2:  # bottom-left
																					SCREAMING_SNAKE_CASE_   	=    cva.resize(SCREAMING_SNAKE_CASE_  ,    (divid_point_x, output_size[0] - divid_point_y)     )
																					SCREAMING_SNAKE_CASE_   	=    img
																					for bbox in img_annos:
																												SCREAMING_SNAKE_CASE_   	=    bbox[1] * scale_x
																												SCREAMING_SNAKE_CASE_   	=    scale_y + bbox[2] * (1 - scale_y)
																												SCREAMING_SNAKE_CASE_   	=    bbox[3] * scale_x
																												SCREAMING_SNAKE_CASE_   	=    scale_y + bbox[4] * (1 - scale_y)
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]     )
														else:  # bottom-right
																					SCREAMING_SNAKE_CASE_   	=    cva.resize(
																					    SCREAMING_SNAKE_CASE_  ,    (output_size[1] - divid_point_x, output_size[0] - divid_point_y)     )
																					SCREAMING_SNAKE_CASE_   	=    img
																					for bbox in img_annos:
																												SCREAMING_SNAKE_CASE_   	=    scale_x + bbox[1] * (1 - scale_x)
																												SCREAMING_SNAKE_CASE_   	=    scale_y + bbox[2] * (1 - scale_y)
																												SCREAMING_SNAKE_CASE_   	=    scale_x + bbox[3] * (1 - scale_x)
																												SCREAMING_SNAKE_CASE_   	=    scale_y + bbox[4] * (1 - scale_y)
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]     )

    # Remove bounding box small than scale of filter
							if filter_scale > 0:
														SCREAMING_SNAKE_CASE_   	=    [
														    anno
														    for anno in new_anno
														    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
														]

							return output_img, new_anno, path_list[0]

def 			a   (_lowerCAmelCase     ):
							assert number_char > 1, "The number of character should greater than 1"
							SCREAMING_SNAKE_CASE_   	=    ascii_lowercase + digits
							return "".join(random.choice(SCREAMING_SNAKE_CASE_     ) for _ in range(SCREAMING_SNAKE_CASE_     )     )


if __name__ == "__main__":
			main()
			print("""DONE ✅""")








import requests

def 			a   (_lowerCAmelCase  ,    _lowerCAmelCase     ):
							SCREAMING_SNAKE_CASE_   	=    {'''Content-Type''': '''application/json'''}
							SCREAMING_SNAKE_CASE_   	=    requests.post(_lowerCAmelCase  ,    json={'''text''': message_body}  ,    headers=_lowerCAmelCase     )
							if response.status_code != 2_0_0:
														SCREAMING_SNAKE_CASE_   	=    (
														    '''Request to slack returned an error '''
														    F"{response.status_code}, the response is:\n{response.text}"
														)
														raise ValueError(_lowerCAmelCase     )


if __name__ == "__main__":
			# Set the slack url to the one provided by Slack when you create the webhook at
			# https://my.slack.com/services/new/incoming-webhook/
			send_slack_message("""<YOUR MESSAGE BODY>""", """<SLACK CHANNEL URL>""")


