While developing Computer Vision functions in our custom package, I was reminded of the benefits that Visual programming brings to users. When I stumbled into OpenCV in python at the beginning, I was simply coding along with tutorials… not knowing the significance of most input variables.
Take Canny for example (See below documentation), for a layman like myself, I’d never have understood what each “threshold” parameters signified unless I spent some time researching about it. I remember changing the threshold values a number of times for comparison between the still images in my Jupyter notebook.
Now, using Dynamo as a Visual Programming platform (See below), we can simply use a number slider to help us quickly get an intuition of each input variable. Which then allow users to determine a suitable value for it!
I believe that there’s probably other such cases where software developers can help users learn and execute more intuitively in a “visual” manner (I think Scratch is an excellent example).
On a side note, Sobel and Laplacian edge detection nodes have been added since the last post!
If you have any ideas that you hope to get implemented, please leave a comment or drop me a DM! We certainly need help from experts. You can also show your support by buying us a coffee at Patreon to help accelerate this project to realization!
Good day!
I got the following error in a node ComputerVision.Canny
Предупреждение:ComputerVision.Canny операция не выполнена.
Не удалось загрузить файл или сборку “Emgu.CV.World, Version=4.1.1.3497, Culture=neutral, PublicKeyToken=7281126722ab4438” либо одну из их зависимостей. Не удается найти указанный файл.
Could not load file or assembly ‘Emgu.CV.World, Version = 4.1.1.3497, Culture = neutral, PublicKeyToken = 7281126722ab4438 ’or one of its dependencies. The system cannot find the file specified.
How can this problem be solved?
Thank you!
Looks like an installation problem, have you tried the latest download ?
https://github.com/AectechSG/Aectech-Dynamo-Package/releases/tag/v2.008.0134