validating single image predict for fashion_mnist - kamangir/bolt#692

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.171"
+version = "1.1.172"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"

image_classifier/classes.py

@@ -54,17 +54,15 @@ class Image_Classifier(object):
                 f"{model_path}/image_classifier/model"
             )
         except:
-            from abcli.logging import crash_report
-
-            crash_report("image_classifier.load({}) failed".format(model_path))
+            crash_report("-f image_classifier: load({model_path}): failed.")
             return False
 
         logger.info(
-            "{}.load({}x{}:{}): {}{} class(es): {}".format(
+            "{}.load({}): {}x{} {}{} class(es): {}".format(
                 self.__class__.__name__,
+                model_path,
                 self.params["window_size"],
                 self.params["window_size"],
-                path.name(model_path),
                 "convnet - " if self.params["convnet"] else "",
                 len(self.class_names),
                 ",".join(self.class_names),
@@ -196,9 +194,7 @@ class Image_Classifier(object):
                 )
             )
         except:
-            from abcli.logging import crash_report
-
-            crash_report("image_classifier.predict_frame() crashed.")
+            crash_report("-image_classifier: predict_frame(): failed.")
             return False, -1
 
         prediction_time = time.time() - prediction_time