-
In order to output probabilistic segmentation masks (as opposed to binary masks), we could implement uncertainty techniques.
Possible avenues include:
- Monte Carlo dropout (cons: will require 10…
-
The _Multilevel Thresholding_ node seems to ignore the dimension selection. I get the same results regardless whether I'm choosing {X,Y} or {X,Y,Z} as dimensions. The result looks a bit strange, it se…
-
Darknet unexpected behaviour: no translational symmetry when detecting.
What I did:
Created a centered red square in a white image and a completely white image
Labeled the red square
Trained a n…
-
I'm trying to implement automatic de-warping of the image by extracting areas of orange from the picture to assume its the plate then using more image processing algorithms to automatically warp the i…
-
Thank you for writing this great macro! Unfortunately, I'm not able to get it to run all the way. Every time I run the code, I'm getting an error after the Thresholding step, with error message:
`'…
-
Automatically generating the screenshots and/or a combination of OCR would improve the setup for different HUD's, screens, graphics cards, brightness settings etc.
This will be a bit of a dev blog …
-
Hi, Xu. I'm now working on sparse coding image denoising, however, I find that in your program, Par.lambda1 is always set to 0, which means you actually don't use ADMM to find the sulotion. So the fun…
ghost updated
5 years ago
-
论文中提到，在进行inference的时候，对FPN上的box进行了过滤@qjadud1994
inference involves simply forwarding an image through the network. To improve speed, we only decode box predictions from at most 1k top-scoring predic…
guker updated
5 years ago
-
I'm using EasyOCR to make very simple banknote recognition for uni project, using Python and OpenCV. If I understand correctly provided examples, code below:
```python
import cv2
import numpy as np…
-
Hello,
First of all, gotta say that this work is insanely good. I've been trying to apply for pictures taken by cameras instead but as this work is mainly aimed at scanned documents, I've been …