I can read jpg file using cv2 as
import cv2
import numpy as np
import urllib
url = r'http://www.mywebsite.com/abc.jpg'
req = urllib.request.urlopen(url)
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
img = cv2.imdecode(arr,-1)
cv2.imshow('abc',img)
However, when I do it with gif file, it returns an error:
error: (-215) size.width>0 && size.height>0 in function cv::imshow
How to solve this problem?
Steps:
urllib to read the gif from web, imageio.mimread to load the gif to nump.ndarray(s).numpy or OpenCV.OpenCV Code example:
import imageio
import urllib.request
url = "https://i.sstatic.net/lui1A.gif"
fname = "tmp.gif"
## Read the gif from the web, save to the disk
imdata = urllib.request.urlopen(url).read()
imbytes = bytearray(imdata)
open(fname,"wb+").write(imdata)
## Read the gif from disk to `RGB`s using `imageio.miread`
gif = imageio.mimread(fname)
nums = len(gif)
print("Total {} frames in the gif!".format(nums))
# convert form RGB to BGR
imgs = [cv2.cvtColor(img, cv2.COLOR_RGB2BGR) for img in gif]
## Display the gif
i = 0
while True:
cv2.imshow("gif", imgs[i])
if cv2.waitKey(100)&0xFF == 27:
break
i = (i+1)%nums
cv2.destroyAllWindows()
Note. I use the gif in my another answer. Video Stabilization with OpenCV
The result:
>>> Total 76 frames!
One of the gif-frames displayed:
gif2numpy. It's a nice library based on kaitaistruct binary struct descriptor. And it'll be better if it supports multi-frames gif. Great job!