When I run the HDR Mertens exposure fusion in Python I get weird colors artifact, that I don't get when I run the exact same function in c++. (I just run the [HDR Tutorial](http://docs.opencv.org/master/d3/db7/tutorial_hdr_imaging.html#gsc.tab=0))
Seems to me like some problem with the data types, but I tried every option and nothing works. Am I doing something wrong?
I'm running Python 3.5 64-bit with OpenCV 3.0.0.
**The exposures images were taken from Wikipedia:** [1/30 sec](https://upload.wikimedia.org/wikipedia/commons/thumb/0/09/StLouisArchMultExpEV-4.72.JPG/640px-StLouisArchMultExpEV-4.72.JPG), [1/4 sec](https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/StLouisArchMultExpEV-1.82.JPG/640px-StLouisArchMultExpEV-1.82.JPG), [2.5 sec](https://upload.wikimedia.org/wikipedia/commons/thumb/8/89/StLouisArchMultExpEV%2B1.51.JPG/640px-StLouisArchMultExpEV%2B1.51.JPG), [15 sec](https://upload.wikimedia.org/wikipedia/commons/thumb/8/8f/StLouisArchMultExpEV%2B4.09.JPG/640px-StLouisArchMultExpEV%2B4.09.JPG).
**The Python code:**
import cv2
import numpy as np
img_fn = ["640px-StLouisArchMultExpEV+4.09.jpg",
"640px-StLouisArchMultExpEV+1.51.jpg",
"640px-StLouisArchMultExpEV-1.82.jpg",
"640px-StLouisArchMultExpEV-4.72.jpg"]
img_list = [cv2.imread(fn) for fn in img_fn]
# Exposure fusion using Mertens
mergeMertens = cv2.createMergeMertens()
resFusion = mergeMertens.process(img_list)
# Convert datatype to 8-bit and save
resFusion_8bit = np.uint8(resFusion*255)
cv2.imwrite("fusion.png", resFusion_8bit)
**The result I get in Python:**
**The result I get in C++:**
↧