Update classification.py

classification.py

@@ -20,7 +20,7 @@ def inferring(encoding, model):
 
 
 # #testing 
-# def infrecing(encoding,model):
+# def inferring(encoding,model):
 #     with torch.no_grad():
 #         outputs = model(**encoding)
 #     logits = outputs.logits
@@ -51,10 +51,10 @@ def pipes(image,categories):
         # Define functions to run the models in parallel
         with concurrent.futures.ThreadPoolExecutor() as executor:
             futures = {
-                executor.submit(infrecing, encoding, top_wear_model): "topwear",
-                executor.submit(infrecing, encoding, pattern_model): "patterns",
-                executor.submit(infrecing, encoding, print_model): "prints",
-                executor.submit(infrecing, encoding, sleeve_length_model): "sleeve_length"
+                executor.submit(inferring, encoding, top_wear_model): "topwear",
+                executor.submit(inferring, encoding, pattern_model): "patterns",
+                executor.submit(inferring, encoding, print_model): "prints",
+                executor.submit(inferring, encoding, sleeve_length_model): "sleeve_length"
             }
     
             results = {}
@@ -72,10 +72,10 @@ def pipes(image,categories):
         # Define functions to run the models in parallel
         with concurrent.futures.ThreadPoolExecutor() as executor:
             futures = {
-                executor.submit(infrecing, encoding, full_wear_model): "fullwear",
-                executor.submit(infrecing, encoding, pattern_model): "patterns",
-                executor.submit(infrecing, encoding, print_model): "prints",
-                executor.submit(infrecing, encoding, sleeve_length_model): "sleeve_length"
+                executor.submit(inferring, encoding, full_wear_model): "fullwear",
+                executor.submit(inferring, encoding, pattern_model): "patterns",
+                executor.submit(inferring, encoding, print_model): "prints",
+                executor.submit(inferring, encoding, sleeve_length_model): "sleeve_length"
             }
     
             results = {}
@@ -93,7 +93,7 @@ def pipes(image,categories):
         # Define functions to run the models in parallel
         with concurrent.futures.ThreadPoolExecutor() as executor:
             futures = {
-                executor.submit(infrecing, encoding, bottom_wear_model): "lowerwear",
+                executor.submit(inferring, encoding, bottom_wear_model): "lowerwear",
             }
     
             results = {}
@@ -111,7 +111,7 @@ def pipes(image,categories):
         # Define functions to run the models in parallel
         with concurrent.futures.ThreadPoolExecutor() as executor:
             futures = {
-                executor.submit(infrecing, encoding, neck_style_model): "Neckstyle",
+                executor.submit(inferring, encoding, neck_style_model): "Neckstyle",
             }
     
             results = {}