I wrote two sh files based on your run_defect.sh file from the author. One is the file for training
After the training was completed, I verified the images with a validation file. Here I have validated only the bottle class from mvtec data. sh file is shown below.
Then I run the sh file to get the following.
But my thought was that if I wanted to save the picture results of my reasoning.
Let's say I want to reason about just one image, then how should I go about saving the result? Can I do the reasoning with the help of eval.py? Or do I need to write my own script to reason about a single image?
But when I run it again it produces an error
In a nutshell, my aim is that I want to use a trained model to achieve inference on images and to save the inferred images, how can this be achieved?
I wrote two sh files based on your run_defect.sh file from the author. One is the file for training After the training was completed, I verified the images with a validation file. Here I have validated only the bottle class from mvtec data. sh file is shown below. Then I run the sh file to get the following. But my thought was that if I wanted to save the picture results of my reasoning. Let's say I want to reason about just one image, then how should I go about saving the result? Can I do the reasoning with the help of eval.py? Or do I need to write my own script to reason about a single image? But when I run it again it produces an error In a nutshell, my aim is that I want to use a trained model to achieve inference on images and to save the inferred images, how can this be achieved?