Question

the following python code edits BMP image file to negative but I need help with modifying this code so it turns it the same BMP image file into a black and white instead of a negative. heres python code I have so far [pasted below]

##

# This program processes a digital image by creating a negative of a BMP image.

#

from io import SEEK_CUR

from sys import exit

def main() :

filename = input("Please enter the file name: ")

# Open as a binary file for reading and writing.

imgFile = open(filename, "rb+")

# Extract the image information.

fileSize = readInt(imgFile, 2)

start = readInt(imgFile, 10)

width = readInt(imgFile, 18)

height = readInt(imgFile, 22)

# Scan lines must occupy multiples of four bytes.

scanlineSize = width * 3

if scanlineSize % 4 == 0 :

padding = 0

else :

padding = 4 - scanlineSize % 4

# Make sure this is a valid image.

if fileSize != (start + (scanlineSize + padding) * height) :

sys.exit("Not a 24-bit true color image file.")

# Move to the first pixel in the image.

imgFile.seek(start)

# Process the individual pixels.

for row in range(height) : # For each scan line

for col in range(width) : # For each pixel in the line

processPixel(imgFile)

# Skip the padding at the end.

imgFile.seek(padding, SEEK_CUR)

imgFile.close()

## Processes an individual pixel.

# @param imgFile the binary file containing the BMP image

#

def processPixel(imgFile) :

# Read the pixel as individual bytes.

theBytes = imgFile.read(3)

blue = theBytes[0] 51 green = theBytes[1]

red = theBytes[2]

# Process the pixel.

newBlue = 255 - blue

newGreen = 255 - green

newRed = 255 - red

#Write the pixel.

imgFile.seek(-3, SEEK_CUR) # Go back 3 bytes to the start of the pixel.

imgFile.write(bytes([newBlue, newGreen, newRed]))

## Gets an integer from a binary file.

# @param imgFile the file

# @param offset the offset at which to read the integer

# @return the integer starting at the given offset

#

def readInt(imgFile, offset) :

# Move the file pointer to the given byte within the file.

imgFile.seek(offset)

# Read the 4 individual bytes and build an integer.

theBytes = imgFile.read(4)

result = 0

base = 1

for i in range(4) :

result = result + theBytes[i] * base

base = base * 256

return result

# Start the program.

main()

Answer 1

from matplotlib import pyplot as plt import cv2 import os # Setting Working Directory To Custom os.chdir(os.getcwd() + r'\resources') def image(): # Set ImageName img_name = r'\2.jpg' # Set Image Path image_path = os.getcwd() + img_name # Load Image From Which The Faces Are To Be Detected image = cv2.imread(image_path,0) # Set Color Formatting To 'GRAY / RGB' From 'BGR' (thresh, im_bw) = cv2.threshold(image, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU) thresh = 127 im_bw = cv2.threshold(image, thresh, 255, cv2.THRESH_BINARY)[1] # rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) cv2.imwrite('bw_image.png', im_bw) cv2.waitKey(0) # Start Of Main if __name__ == '__main__': image()

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