Complete the fillColor function which sets the image pointed to by data to the color represented by its Color parameter. The image will have 4-bytes-per pixel in the form RGBA. graphics.cpp 1 using uc = unsigned char; /** Fills an image with a particular color. Assume data is laid out as rgba. @param data the bytes of the image @param width the width of the image @param height the height of the image @param color the color to use for each pixel 3 4 7 9 10 */ 11 struct Color { uc red, green, blue, alpha; }; 12 void fillColor (uc* const data, int width, int height, Color color) 13 { 14 15 16 17 } CodeCheck Reset

Complete the fillColor function which sets the image pointed to by data to the color represented by its Color parameter. The image will have 4-bytes-per pixel in the form RGBA. graphics.cpp 1 using uc = unsigned char; /** Fills an image with a particular color. Assume data is laid out as rgba. @param data the bytes of the image @param width the width of the image @param height the height of the image @param color the color to use for each pixel 3 4 7 9 10 / 11 struct Color { uc red, green, blue, alpha; }; 12 void fillColor (uc const data, int width, int height, Color color) 13 { 14 15 16 17 } CodeCheck Reset

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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Describe the different types of basic data types.
In python, Old-fashioned photographs from the nineteenth century are not quite black and white and not quite color, but seem to have shades of gray, brown, and blue. This effect is known as sepia, as shown in the figures below. Original Sepia Original Image & Sepia Image Write and test a function named sepia that converts a color image to sepia. This function should first call grayscale to convert the color image to grayscale. A code segment for transforming the grayscale values to achieve a sepia effect follows.Note that the value for green does not change. (red, green, blue) = image.getPixel(x, y)if red < 63: red = int(red * 1.1) blue = int(blue * 0.9)elif red < 192: red = int(red * 1.15) blue = int(blue * 0.85)else: red = min(int(red * 1.08), 255) blue = int(blue * 0. 1. GUI TEST 2. CUSTOM TEST 3. IMAGE TEST
The array fileSize contains the sizes of all files stored in a folder. Fill in the blank with a line of code that outputs the fifth array element from the beginning of the array.
2- Assume that you are developer for photogrammetry and image processing in a company. You are given a task to develop a method that deals with the objects in a scene. Assume that a camera captured binary images, as shown below. The objects do not overlap or not in contact, but may be close to each other. They can be in any size or shape. Binary image Write the pseudo-code algorithm that automatically counts only the number of objects with hole(s) and the shape of the object is not circle. Also present a block diagram of your algorithm to make easy to understand your answer. If there any, please also define any assumptions you perform in your algorithm (about the size/shape/tone/hole etc. of the object). code!) (No need to implement a python
Answer both questions!
Declare a variable as a 20 MyStruct object array.
Q3 / create multiple graphs with single call to plot, these statements plot three related functions of x : t1 = 2sinc (x), t2 = sinc (x), and t3 = 0.5sinc (x), in the interval O < x < 2n . The graphs must be contain desired title , axis labels , and annotations , with symbols for color , style , and marker respectively.
Create a function that returns which chapter is nearest to the page you're on. If two chapters are equidistant, return the chapter with the higher page number. Examples nearestChapter({ "Chapter 1" : 1, "Chapter 2" : 15, "Chapter 3" : 37 }, 10) "Chapter 2" nearestChapter({ "New Beginnings": 1, "Strange Developments" : 62, "The End?" : 194, "The True Ending": 460 }, 200) → "The End?"
• • Asks the user for their name and store it in an array Asks the user for their age and store it in a variable Determines how many years before they can retire at age 67. If user is 67 then it will indicate that the user should retire now. If user is over 67 it will indicate that the user should have already retired If the user is under 67 then it will indicate number of years before retirement Ends with a thank you message. Example of Output Welcome to nameage Please enter name: (user enters a value like Pat) Please enter your age: (user enters a value like 69) Hi Pat. You should already be retired. Thank you for using nameage. Bye!
A bracket "()" symbol is attached to a variable to create an array. True False
In Python: The Broadway dataset contains data for Broadway shows' Capacity (percentage of the theatre filled) and Gross Potential (maximum amount that can be earned) for multiple shows in a specific month and year. Given a CSV file name read from user input, write a program that performs the following tasks: Read in the CSV file as a dataframe. Insert a new column labelled "Size" at the end of the dataframe. The "Size" column contains values in column "Gross Potential" divided by 2. Output the dataframe using the print() function. Create a scatter plot of "Gross Potential" vs "Capacity" with the following marker styling parameters: markers: 'x' color: orange size: values in column "Size" Add the x-label ("Capacity", fontsize = 10), y-label ("Gross Potential", fontsize = 10), and title ("Gross Potential vs Capacity", fontsize = 16) to the figure. Add gridlines to the figure using '--' as linestyle. Save the figure as output_fig.png. Click here to view Input and Output Example
The grayscale2 function is already written, you just need to write inside it how to convert an image to grayscale using the crude average of RGB: from images import Image def grayscale1(image): """Converts an image to grayscale using the psychologically accurate transformations.""" for y inrange(image.getHeight()): for x inrange(image.getWidth()): (r, g, b) = image.getPixel(x, y) r = int(r * 0.299) g = int(g * 0.587) b = int(b * 0.114) lum = r + g + b image.setPixel(x, y, (lum, lum, lum)) def grayscale2(image): """Converts an image to grayscale using the crude average of the r, g, and b""" pass def main(): filename = input("Enter the image file name: ") image = Image(filename) grayscale2(image) image.draw() if __name__ == "__main__": main()