given a folder, including images, and csvfile that show real condition. use python design two types of $$machine learning models $($KNN$$is $$not allowed$)$to $$predict the location of $$wound area$$or $$the $4$values: x$,$y$,$xwidth$,$ ywidth from the animal model image:

$*$Implement a Python program $($trainer$)$that can be $$used to $$import historical data from image files, prepare the data and train ML $$models to $$predict $4$location$-$related values. Then the program will save the trained models.

$*$Implement another Python program $($tester$)$that can be $$used to $$import the test data from a folder and use the saved ML $$model to $$predict wound location from images in $$the folder. Demonstrate the performance of $$these models on $$the test data in $$this program. $($This $$means we $$have ground truth of $$test images in $$a csv $$file for your reference$)$