OpenCV
OpenCV is a very popular computer vision and image processing library.
There are bindings for C++, Java, JavaScript, and Python
Installation
- Download Python 3
pip install opencv-python
Usage
Getting Started
import cv2
# cv2.IMREAD_ANYCOLOR = 4
# cv2.IMREAD_ANYDEPTH = 2
# cv2.IMREAD_COLOR = 1
# cv2.IMREAD_GRAYSCALE = 0
# Use cv2.IMREAD_GRAYSCALE to read in grayscale
my_image = cv2.imread("my_image.png", cv2.IMREAD_GRAYSCALE)
# Perform some modification
# Do your machine learning here
# Write your output image
cv2.imwrite("my_modified_image.png", my_image)
Resizing an Image
import numpy as np
import cv2
img = cv2.imread('messi5.jpg')
new_img = cv2.resize(img, (500,200), interpolation = cv.INTER_CUBIC)
Video
Reading Video
video_capture = cv2.VideoCapture(path.join(videos_folder, video_filename))
if not video_capture.isOpened():
print("Error opening video stream or file")
sys.exit(0)
frame_num = 0
while video_capture.isOpened() and frame_num < 30:
ret, frame = video_capture.read()
if ret:
cv2.imshow('Frame', frame)
frame_num = frame_num + 1
if cv2.waitKey(25) & 0xFF == ord('q'):
break
else:
break
Writing Video
C++ Video Write
Note that OpenCV does not handle audio.
output_video = cv2.VideoWriter()
codec = cv2.VideoWriter_fourcc(*"avc1")
fps = 15
image_size = (100, 100)
output_video.open("video_output.mp4", codec, fps, image_size, True)
if not output_video.isOpened():
print("Error opening output video")
# Write all of your frames
# while have_frames:
# output_video.write(my_frame)
# Release the video
output_video.release()