Things you should check first
Okay, something has gone wrong, and you’re not quite sure what to do.
Here are some good steps.
- Go back and run the demos
If those don’t work, it’s unlikely that anything else will work, so you need to fix this first. Good things to try here are:
- Check if there are updates to Python and the packages
- See the last update step on the install Python page
- try the demos
- Check if the Python_MyoVision program has been updated
- open the Python_MyoVision repository in GitHub Desktop and check for updates
- pull them to your desktop if there are
- retry your demos
- If that doesn’t help, consider
- deleting the entire Python_MyoVision folder
- starting again with a clean install
- this should fix the problem if your files got disorganized
If the demos work, but you are running into other problems
- Try a simpler version of your task
- If you are trying to analyze 30 image files
- analyze just 1 instead
- once that’s working, adjust your configuration file by adding more tasks
- If you are trying to analyze a very big image
- crop the image so that you just have 30 or 40 fibers
- make sure you can analyze the small image first
- Remember that Python_MyoVision dumps image files as it goes
- use these to track the source of your problem
- for example, if you can’t see robust edges in the Frangi filter image, the program won’t be able to perform a robust initial segmentation.
- in this case, reading the documentation, will help you to see that changing the
percent_saturationparameter in your configuration file might help.
- in this case, reading the documentation, will help you to see that changing the
- If you are trying to analyze 30 image files
If you’re still stuck, check whether somebody has alerted us to the same problem
- Go to the Python_MyoVision respository
- Click on the Issues tab
If so, we know about it, and are probably working on it.