





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

import cva
import numpy as np

# Parrameters
__A				:    int       =   (720, 1_280)  # Height, Width
__A				:    Tuple       =   (0.4, 0.6)  # if height or width lower than this scale, drop it.
__A				:    Union[str, Any]       =   1 / 100
__A				:    Any       =   ""
__A				:    Any       =   ""
__A				:    Optional[Any]       =   ""
__A				:    Dict       =   250





def 						__SCREAMING_SNAKE_CASE  (				)  ->				None:







			'''simple docstring'''

			UpperCAmelCase		,			UpperCAmelCase   		=				get_dataset(UpperCamelCase__			,			UpperCamelCase__ )
			for index in range(UpperCamelCase__ ):
						UpperCAmelCase   		=				random.sample(range(len(UpperCamelCase__ ) )			,			4 )
						UpperCAmelCase		,			UpperCAmelCase		,			UpperCAmelCase   		=				update_image_and_anno(
						    UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			filter_scale=UpperCamelCase__			,			)

						# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
						UpperCAmelCase   		=				random_chars(32 )
						UpperCAmelCase   		=				path.split(os.sep )[-1].rsplit('''.'''			,			1 )[0]
						UpperCAmelCase   		=				F"""{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"""
						cva.imwrite(F"""{file_root}.jpg"""			,			UpperCamelCase__			,			[cva.IMWRITE_JPEG_QUALITY, 85] )
						print(F"""Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}""" )
						UpperCAmelCase   		=				[]
						for anno in new_annos:
									UpperCAmelCase   		=				anno[3] - anno[1]
									UpperCAmelCase   		=				anno[4] - anno[2]
									UpperCAmelCase   		=				anno[1] + width / 2
									UpperCAmelCase   		=				anno[2] + height / 2
									UpperCAmelCase   		=				F"""{anno[0]} {x_center} {y_center} {width} {height}"""
									annos_list.append(UpperCamelCase__ )
						with open(F"""{file_root}.txt"""			,			'''w''' ) as outfile:
									outfile.write('''\n'''.join(line for line in annos_list ) )





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__ )  ->				tuple[list, list]:







			'''simple docstring'''

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

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

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





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ = 0.0			,			)  ->				tuple[list, list, str]:







			'''simple docstring'''

			UpperCAmelCase   		=				np.zeros([output_size[0], output_size[1], 3]			,			dtype=np.uinta )
			UpperCAmelCase   		=				scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
			UpperCAmelCase   		=				scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
			UpperCAmelCase   		=				int(scale_x * output_size[1] )
			UpperCAmelCase   		=				int(scale_y * output_size[0] )

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







			'''simple docstring'''

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


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










from datetime import datetime

import requests





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__ )  ->				bytes:







			'''simple docstring'''

			UpperCAmelCase   		=				'''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
			UpperCAmelCase   		=				requests.get(base_url + url ).json()[0]['''urls'''][0]['''src''']
			return requests.get(UpperCamelCase__ ).content


if __name__ == "__main__":
				__A				:    Union[str, Any]       =   input("Enter Video/IGTV url: ").strip()
				__A				:    Tuple       =   F'{datetime.now():%Y-%m-%d_%H:%M:%S}.mp4'
				with open(file_name, "wb") as fp:
								fp.write(download_video(url))
				print(F'Done. Video saved to disk as {file_name}.')



