Given the following information about vertexpositions:Vertex g_vertices[] = {-0.7f, 0.8f, 0.Of,-0.5f, 0.6f, 0.0f,-0.6f, -0.6f, 0.Of,-0.2f, -0.5f, 0.Of,0.0f, -0.4f, 0.0f};Which of the following lines will draw a line from (-0.5f,0.6f, 0.0f) to (-0.6f, -0.6f, 0.0f)?Select one:a.None of the other choices are correctO b. glDrawArrays (GL_LINES, 1, 2);c. glDrawArrays (GL_LINES, 0, 2);d.glDrawArrays(GL_LINES, 1, 1);e. glDrawArrays (GL_LINES, 0, 1);|||O< Which of the following statements aboutenvironment mapping is/are TRUE?1. Produces inaccurate reflections.2. Is based on Phong shading.3. Uses the samplerCube uniform variable.Select one:a.b. 1 onlyC.1, 2 and 3e.1 and 2O d. 2 and 31 and 3|||O<

The correct option to draw a line from (-0.5f, 0.6f, 0.0f) to (-0.6f, -0.6f, 0.0f) using the given…

Given the following information about vertex positions: Vertex g_vertices[] = { -0.7f, 0.8f, 0.0f, -0.5f, 0.6f, 0.0f, -0.6f, -0.6f, 0.Of, -0.2f, -0.5f, 0.Of, 0.0f, -0.4f, 0.0f }; Which of the following lines will draw a line from (- 0.6f, 0.0f) to (-0.6f, -0.6f, 0.0f)? Select one: None of the other choices are correct

Given the following information about vertex positions: Vertex g_vertices[] = { -0.7f, 0.8f, 0.0f, -0.5f, 0.6f, 0.0f, -0.6f, -0.6f, 0.Of, -0.2f, -0.5f, 0.Of, 0.0f, -0.4f, 0.0f }; Which of the following lines will draw a line from (- 0.6f, 0.0f) to (-0.6f, -0.6f, 0.0f)? Select one: None of the other choices are correct

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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explain this code for me please import cv2 as cv import numpy as np from matplotlib import pyplot as plt def lanesDetection(img): height = img.shape[0] width = img.shape[1] region_of_interest_vertices = [ (200, height), (width/2, height/1.37), (width-300, height) ] gray_img = cv.cvtColor(img, cv.COLOR_RGB2GRAY) edge = cv.Canny(gray_img, 50, 100, apertureSize=3) cropped_image = region_of_interest( edge, np.array([region_of_interest_vertices], np.int32)) lines = cv.HoughLinesP(cropped_image, rho=2, theta=np.pi/180, threshold=50, lines=np.array([]), minLineLength=10, maxLineGap=30) image_with_lines = draw_lines(img, lines) return image_with_lines def region_of_interest(img, vertices): mask = np.zeros_like(img) match_mask_color = (255) cv.fillPoly(mask, vertices, match_mask_color) masked_image = cv.bitwise_and(img, mask) return masked_image def draw_lines(img, lines): img…
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