Imageio python package should do what you want. Here is a python snippet using this package: import pylab import imageio filename=”/tmp/file.mp4″ vid = imageio.get_reader(filename, ‘ffmpeg’) nums = [10, 287] for num in nums: image = vid.get_data(num) fig = pylab.figure() fig.suptitle(‘image #{}’.format(num), fontsize=20) pylab.imshow(image) pylab.show() You can also directly iterate over the images in the file … Read more
I found the solution. As this question is unique and not covered anywhere. So, posting the answer. #from skimage.measure import structural_similarity as ssim from skimage import measure . . . #s = ssim(imageA, imageB) s = measure.compare_ssim(imageA, imageB) Change commented line to uncommented line.
From your input image, you need to make text as white, and background as black You need then to compute the rotation angle of your bill. A simple approach is to find the minAreaRect of all white points (findNonZero), and you get: Then you can rotate your bill, so that text is horizontal: Now you … Read more
Since a cv2 image is not a string (save a Unicode one, yucc), but a NumPy array, – use cv2 and NumPy to achieve it: import cv2 import urllib import numpy as np req = urllib.urlopen(‘http://answers.opencv.org/upfiles/logo_2.png’) arr = np.asarray(bytearray(req.read()), dtype=np.uint8) img = cv2.imdecode(arr, -1) # ‘Load it as it is’ cv2.imshow(‘lalala’, img) if cv2.waitKey() & … Read more
How to fix the error There are two potential causes for this error to happen: The file name is misspelled. The image file is not in the current working directory. To fix this issue you should make sure the filename is correctly spelled (do case sensitive check just in case) and the image file is … Read more
For axis-aligned bounding boxes it is relatively simple. “Axis-aligned” means that the bounding box isn’t rotated; or in other words that the boxes lines are parallel to the axes. Here’s how to calculate the IoU of two axis-aligned bounding boxes. def get_iou(bb1, bb2): “”” Calculate the Intersection over Union (IoU) of two bounding boxes. Parameters … Read more
To change the “%matplotlib inline” figure resolution on the notebook do: import matplotlib as mpl mpl.rcParams[‘figure.dpi’]= dpi I recommend setting the dpi somewhere between 150 and 300 if you are going to download/print the notebook. Ensure that %matplotlib inline runs before the mpl.rcParams[‘figure.dpi’]= dpi otherwise the magic command resets the dpi to its default value … Read more
The following code should get you started. You may want to play around with the parameters at the top of the program to fine-tune your extraction: import cv2 import numpy as np #== Parameters ======================================================================= BLUR = 21 CANNY_THRESH_1 = 10 CANNY_THRESH_2 = 200 MASK_DILATE_ITER = 10 MASK_ERODE_ITER = 10 MASK_COLOR = (0.0,0.0,1.0) # In … Read more
I updated my skimage package. pip install –upgrade scikit-image And the problem was solved. It’s a problem of version of Skimage, which is solved in 0.14.2. PLus, this version is quite stable. Installing collected packages: dask, scikit-image Found existing installation: dask 0.19.1 Uninstalling dask-0.19.1: Successfully uninstalled dask-0.19.1 Found existing installation: scikit-image 0.13.0 Uninstalling scikit-image-0.13.0: Successfully … Read more
You can use pip install scikit-image. Also see the recommended procedure.