Fixed length error for if N objects < topX

general_bias_measurement.py

@@ -208,6 +208,8 @@ def evaluate_t2i_model_images(images, prompts, progressBar, debugging, evalType)
     return (sortedDistributionBiasDict, normalisedDistribution, B_D, hallucinationBiases, CLIPMissRates, CLIPErrors)
 def output_eval_results(metrics, evalID, topX, evalType):
     sortedDistributionBiasList = list(metrics[0].items())
+    if len(sortedDistributionBiasList) < topX:
+        topX = len(sortedDistributionBiasList)
     th_props = [
         ('font-size', '16px'),
         ('font-weight', 'bold'),