Im trying out this article;
https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066
this is the code copied out of the article;
import cv2 from cv2 import dnn_superres
sr = dnn_superres.DnnSuperResImpl_create()
image = cv2.imread('./input.png')
path = "EDSR_x3.pb" sr.readModel(path)
sr.setModel("edsr", 3)
result = sr.upsample(image)
cv2.imwrite("./upscaled.png", result)
i also tried opencv Super Resolution Tutorial;
https://docs.opencv.org/master/d5/d29/tutorial_dnn_superres_upscale_image_single.html
import cv2 from cv2 import dnn_superres
sr = dnn_superres.DnnSuperResImpl_create()
image = cv2.imread('./image.png')
path = "EDSR_x4.pb" sr.readModel(path)
sr.setModel("edsr", 4)
result = sr.upsample(image)
cv2.imwrite("./upscaled.png", result)
My enviroment is anaconda3 opencv 4.3.0. I either get the error from the title or i get "killed" when i run the opencv example.
*My file directory is all on the same level of the sample codes. I would just change my image file names. I did try to compile opencv and opencv_contrib from cmake but, i didn't know how to have python refer to opencv and opencv_contrib from source. ifollow this documentation to install opencv from source; https://d*ocs.opencv.org/3.4/d2/de6/tutorial_py_setup_in_ubuntu.html
I opted to use anaconda wrapping of opencv 4.3.0 because i ran into too many dependency and wrongly installed package problems.
My friend from a meetup managed to apply the code from the article just as the article depicted while i tried to follow exactly what he did, using an anaconda enviorment. Would my problem stem from my virtual enviorment or opencv package version or the code itself? i did have another colleague run my code from my github branch and he had my exact same problems. How should i apprach the bugs im having and apply the super resolution examples i found?