Achyut-Krishna

import cv2 as cv
# img = cv.imread('../Resources/Photos/cat.jpg')
# cv.imshow('Cat', img)
def rescaleFrame(frame, scale=0.75):
# Images, Videos and Live Video
width = int(frame.shape[1] * scale)
height = int(frame.shape[0] * scale)
dimensions = (width,height)
return cv.resize(frame, dimensions, interpolation=cv.INTER_AREA)
def changeRes(width,height):

Achyut-Krishna

capture = cv.VideoCapture('../Resources/Videos/dog.mp4')
while True:
isTrue, frame = capture.read()
# if cv.waitKey(20) & 0xFF==ord('d'):
# This is the preferred way - if `isTrue` is false (the frame could
# not be read, or we're at the end of the video), we immediately
# break from the loop.
if isTrue:
cv.imshow('Video', frame)
if cv.waitKey(20) & 0xFF==ord('d'):

Achyut-Krishna

while(vid_capture.isOpened()):
	# vCapture.read() methods returns a tuple, first element is a bool 
	# and the second is frame

	ret, frame = vid_capture.read()
	if ret == True:
		cv2.imshow('Frame',frame)
		k = cv2.waitKey(20)
		# 113 is ASCII code for q key
		if k == 113:

Achyut-Krishna

# Release the objects
vid_capture.release()
cv2.destroyAllWindows()

Achyut-Krishna

if (vid_capture.isOpened() == False):
	print("Error opening the video file")
else:
	# Get frame rate information

	fps = int(vid_capture.get(5))
	print("Frame Rate : ",fps,"frames per second")	

	# Get frame count
	frame_count = vid_capture.get(7)

Achyut-Krishna

# Create a video capture object, in this case we are reading the video from a file
vid_capture = cv2.VideoCapture('Resources/Cars.mp4')

Achyut-Krishna

import cv2 

# Create a video capture object, in this case we are reading the video from a file
vid_capture = cv2.VideoCapture('Resources/Cars.mp4')

if (vid_capture.isOpened() == False):
	print("Error opening the video file")
# Read fps and frame count
else:
	# Get frame rate information

Achyut-Krishna

#library is imported
import cv2 as cv
# Read in an image
img = cv.imread('../Resources/Photos/park.jpg')
cv.imshow('Park', img)
# Cropping
cropped = img[50:200, 200:400]
cv.imshow('Cropped', cropped)

Achyut-Krishna

#library is imported
import cv2 as cv
# Read in an image
img = cv.imread('../Resources/Photos/park.jpg')
cv.imshow('Park', img)
# Resize
resized = cv.resize(img, (500,500), interpolation=cv.INTER_CUBIC)
cv.imshow('Resized', resized)

Achyut-Krishna

import cv2  
import numpy as np  
img = cv2.imread(r'C:\Users\Achyut Krishna\baloon.jpg', 1)  
kernel = np.ones((5,5), np.uint8)  
img_erosion = cv2.erode(img, kernel, iterations=1)  
img_dilation = cv2.dilate(img, kernel, iterations=1)  
cv2.imshow('Input', img)  
cv2.imshow('Erosion', img_erosion)  
cv2.waitKey(0)