Yong Zhun Hung zhunhung

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zhunhung / DockerFile

Created January 18, 2020 02:29

Selenium Linux DockerFile

	FROM ubuntu:latest

	RUN apt-get update \
	&& apt-get install -y python3-pip python3-dev \
	&& cd /usr/local/bin \
	&& ln -s /usr/bin/python3 python \
	&& pip3 install --upgrade pip

	# INSTALL DEPENDENCIES
	RUN apt-get install -y curl unzip openjdk-8-jre-headless xvfb libxi6 libgconf-2-4

zhunhung / test_selenium.py

Created January 13, 2020 13:04

Script to verify selenium works

	from selenium import webdriver
	from selenium.webdriver.chrome.options import Options

	CHROMEDRIVER_PATH = '/usr/local/bin/chromedriver'
	WINDOW_SIZE = "1920,1080"

	chrome_options = Options()
	chrome_options.add_argument("--headless")
	chrome_options.add_argument("--window-size=%s" % WINDOW_SIZE)
	chrome_options.add_argument('--no-sandbox')

zhunhung / setup.sh

Last active June 30, 2022 11:29

Install packages for selenium, chrome and chromedriver in Linux VM

	# Remove existing downloads and binaries so we can start from scratch.
	sudo apt-get remove google-chrome-stable
	rm ~/selenium-server-standalone-*.jar
	rm ~/chromedriver_linux64.zip
	sudo rm /usr/local/bin/chromedriver
	sudo rm /usr/local/bin/selenium-server-standalone.jar

	# Install dependencies.
	sudo apt-get update
	sudo apt-get install -y unzip openjdk-8-jre-headless xvfb libxi6 libgconf-2-4

zhunhung / template_matching_unit.py

Created October 17, 2019 16:26

Match template to unit bounding box at different orientation

	# load base image and template
	img = cv2.imread(sample_img_path, 0)
	template = cv2.imread(template_path, 0)

	# canny edge detection to get edges of base image
	edged = cv2.Canny(img, 50, 200)

	# define the orientations
	methods_arr = [('original',0), ('original',90), ('original',180), ('original',270),
	('flipped',0), ('flipped',90), ('flipped',180), ('flipped',270)]

zhunhung / contour_detection.py

Created October 17, 2019 15:13

Find contours in an image

	# convert image to grayscale
	imgray = cv2.cvtColor(img, cv.COLOR_BGR2GRAY)
	# apply threshold
	thresh = cv2.threshold(imgray, 127, 255, 0)[1]
	# find contours
	contours, hierarchy = cv.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
	# draw contours on image
	cv2.drawContours(img, contours, -1, (0, 255, 0), 3)

zhunhung / color_segmentation.py

Last active October 17, 2019 15:01

Example of using OpenCV colour segmentation

	color = [211, 227, 191]
	# Convert our image from BGR to HSV
	hsv_img = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
	limit = np.uint8([[color]])
	# Convert our color of choice to HSV as well
	limit = cv2.cvtColor(limit,cv2.COLOR_BGR2HSV)[0][0]
	mask = cv2.inRange(hsv_img, limit, limit)
	# Filter for the colour
	res = cv2.bitwise_and(img,img, mask= mask)