validating fashion_mnist train - kamangir/bolt#689

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.51"
+version = "1.1.52"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"

image_classifier/classes.py

@@ -268,7 +268,7 @@ class Image_Classifier(object):
                     "image_classifier",
                     self.object_name,
                     string.pretty_bytes(self.model_size) if self.model_size else "",
-                    string.pretty_size(self.input_shape),
+                    string.pretty_shape(self.input_shape),
                     "/".join(string.shorten(self.class_names)),
                     "took {} / frame".format(
                         string.pretty_duration(
@@ -322,7 +322,7 @@ class Image_Classifier(object):
             if convnet
             else (window_size, window_size)
         )
-        logger.info(f"input_shape:{string.pretty_size(input_shape)}")
+        logger.info(f"input:{string.pretty_shape(input_shape)}")
 
         if convnet and not color:
             train_images = np.expand_dims(train_images, axis=3)