Error message for UniqueImagesValidator does not tell the user which images are duplicates

evalutils version: 0.4.2
Python version: 3.11
Operating System: Linux

Description

The error that UniqueImagesValidator produces doesn't tell the user which images are duplicates. This is somewhat problematic when end-users/clinicians run into the error, as finding the duplicates can turn into manual labor for people who don't know how to script this search.

The error message is generated here:

evalutils/evalutils/validators.py

Lines 60 to 69 in a5a9f5e

    
           try: 
        
               hashes = df["hash"] 
        
           except KeyError: 
        
               raise ValidationError("Column `hash` not found in DataFrame.") 
        
           if len(set(hashes)) != len(hashes): 
        
               raise ValidationError( 
        
                   "The images are not unique, please submit a unique image for " 
        
                   "each case." 
        
               )

You can override this exception in your own code if you like, or please feel free to submit a PR with an enhancement.

	try:
	hashes = df["hash"]
	except KeyError:
	raise ValidationError("Column `hash` not found in DataFrame.")

	if len(set(hashes)) != len(hashes):
	raise ValidationError(
	"The images are not unique, please submit a unique image for "
	"each case."
	)