After successfully training the network, I used the .evaluate_network(config_path) command and I got an error in the plotting of the images. Therefore, I could only see the evaluation numerically (Below is the error message in the plotting), which seem to have very good error values (0.7pixels). I tried to use .check_labels(config_path), but it couldn’t find the labels files in the GUI.
Done and results stored for snapshot: snapshot-1030000 Results for 1030000 training iterations: 95 1 train error: 0.7 pixels. Test error: 1.36 pixels. With pcutoff of 0.1 train error: 0.7 pixels. Test error: 1.36 pixels Thereby, the errors are given by the average distances between the labels by DLC and the scorer. Plotting... Could not load matplotlib icon: can't use "pyimage901" as iconphoto: not a photo image Could not load matplotlib icon: can't use "pyimage919" as iconphoto: not a photo image . . (list continues for another 50 pictures…) . Could not load matplotlib icon: can't use "pyimage1765" as iconphoto: not a photo image The network is evaluated and the results are stored in the subdirectory 'evaluation_results'.
Since error values seemed fine, I then proceeded to analyse the video and create a labelled video with the recognized patterns. Here I realized that 1 of the 5 was placed in an entire different region than it should during the whole video. So I tried to redefine that wrong label using .refine_labels(config_path), but the same error of ‘could not load pyimage’ pupped up and couldn’t go further.
So now I can’t fix the wrong label to re-train the network.
Do you have any idea of what might the problem be?