Dinara Issagaliyeva dissagaliyeva

dissagaliyeva / z_score.py

Last active January 25, 2022 07:52

	from scipy import stats
	import numpy as np
	import seaborn as sns
	import matplotlib.pyplot as plt
	sns.set() # for aesthetic purposes


	def viz(mu, std, min, max, score=None):
	# draw a sample
	dist = np.random.normal(mu, std, size=10000)

dissagaliyeva / coco.py

Created January 24, 2022 16:22

	import convert as via2coco

	# set class index (can be either 0 or 1)
	first_class_index = 0

	# for those who decided to go with their own annotations
	# data_path = '/content/annotations/output/'

	# for those who downloaded from github
	data_path = '/content/scrapped_data'

dissagaliyeva / download.py

Created January 24, 2022 16:21

	# download the necessary functionality
	%cd /content/

	!rm -rf VIA2COCO
	!git clone https://github.com/woctezuma/VIA2COCO

	%cd VIA2COCO/

	!git checkout fixes

dissagaliyeva / coco.py

Created January 23, 2022 18:43

	# download the necessary functionality
	%cd /content/

	!rm -rf VIA2COCO
	!git clone https://github.com/woctezuma/VIA2COCO

	%cd VIA2COCO/

	!git checkout fixes

dissagaliyeva / connect.py

Created January 23, 2022 17:30

	from google.colab import drive
	drive.mount('/content/drive')

	# set path to the folder!
	PATH = #

dissagaliyeva / run.py

Created January 23, 2022 16:22

	os.mkdir('annotations') # create the folder to store images in
	PATH = 'annotations'
	download_images('cigarette butts on the beach', PATH, 200)

dissagaliyeva / download_images.py

Created January 23, 2022 16:16

	!wget https://github.com/dissagaliyeva/ocean-garbage-detector/releases/download/v1.0/scrapped_data.zip
	!unzip scrapped_data.zip > /dev/null