Merge pull request #10259 from AUTOMATIC1111/ruff

Ruff

1 files changed, 3 insertions, 4 deletions

diff --git a/modules/interrogate.py b/modules/interrogate.py
index 9f7d657f..111b1322 100644
--- a/modules/interrogate.py
+++ b/modules/interrogate.py
@@ -11,7 +11,6 @@ import torch.hub
 from torchvision import transforms

 from torchvision.transforms.functional import InterpolationMode

 

-import modules.shared as shared

 from modules import devices, paths, shared, lowvram, modelloader, errors

 

 blip_image_eval_size = 384

@@ -160,7 +159,7 @@ class InterrogateModels:
             text_array = text_array[0:int(shared.opts.interrogate_clip_dict_limit)]

 

         top_count = min(top_count, len(text_array))

-        text_tokens = clip.tokenize([text for text in text_array], truncate=True).to(devices.device_interrogate)

+        text_tokens = clip.tokenize(list(text_array), truncate=True).to(devices.device_interrogate)

         text_features = self.clip_model.encode_text(text_tokens).type(self.dtype)

         text_features /= text_features.norm(dim=-1, keepdim=True)

 

@@ -208,8 +207,8 @@ class InterrogateModels:
 

                 image_features /= image_features.norm(dim=-1, keepdim=True)

 

-                for name, topn, items in self.categories():

-                    matches = self.rank(image_features, items, top_count=topn)

+                for cat in self.categories():

+                    matches = self.rank(image_features, cat.items, top_count=cat.topn)

                     for match, score in matches:

                         if shared.opts.interrogate_return_ranks:

                             res += f", ({match}:{score/100:.3f})"