I've been working with code to display frames from a movie. The bare bones of the code is as follows:
import cv2
import matplotlib.pyplot as plt
# Read single frame avi
cap = cv2.VideoCapture('singleFrame.avi')
rval, frame = cap.read()
# Attempt to display using cv2 (doesn't work)
cv2.namedWindow("Input")
cv2.imshow("Input", frame)
#Display image using matplotlib (Works)
b,g,r = cv2.split(frame)
frame_rgb = cv2.merge((r,g,b))
plt.imshow(frame_rgb)
plt.title('Matplotlib') #Give this plot a title,
#so I know it's from matplotlib and not cv2
plt.show()
Because I can display the image using matplotlib, I know that I'm successfully reading it in.
I don't understand why my creation of a window and attempt to show an image using cv2 doesn't work. No cv2 window ever appears. Oddly though, if I create a second cv2 window, the 'input' window appears, but it is only a blank/white window.
What am I missing here?
5 Answers
As far as I can see, you are doing it almost good. There is one thing missing:
cv2.imshow('image',img)
cv2.waitKey(0)
So probably your window appears but is closed very very fast.
you can follow following code
import cv2
# read image
image = cv2.imread('path to your image')
# show the image, provide window name first
cv2.imshow('image window', image)
# add wait key. window waits until user presses a key
cv2.waitKey(0)
# and finally destroy/close all open windows
cv2.destroyAllWindows()
I think your job is done then
Since OpenCV reads images with BGR format, you'd convert it to RGB format before pass the image to pyplot
import cv2
import matplotlib.pyplot as plt
image = cv2.imread('YOUR_FILEPATH')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
plt.imshow(image)
plt.show()
While using Jupyter Notebook this one might come in handy
import cv2
import matplotlib.pyplot as plt
# reading image
image = cv2.imread("IMAGE_PATH")
# displaying image
plt.imshow(image)
plt.show()
import cv2
image_path='C:/Users/bakti/PycharmProjects/pythonProject1/venv/resized_mejatv.jpg'
img=cv2.imread(image_path)
img_title="meja tv"
cv2.imshow(img_title,img)
cv2.waitKey(0)
cv2.destroyAllWindows()
