validating fashion_mnist train - kamangir/bolt#689

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.64"
+version = "1.1.65"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"

image_classifier/classes.py

@@ -155,18 +155,16 @@ class Image_Classifier(object):
         max_index = test_images.shape[0]
         if page_count != -1:
             max_index = min(24 * page_count, max_index)
-        offset = int(np.max(np.array(objects.list_of_frames(output_path) + [-1]))) + 1
-        logger.info(
-            "image_classifier.predict(offset={}): rendering {} frame(s)...".format(
-                offset, max_index
-            )
-        )
+        logger.info(f"image_classifier.predict(): rendering {max_index} frame(s)...")
         for index in tqdm(range(0, max_index, 24)):
             self.render(
                 predictions[index : index + 24],
                 None if test_labels is None else test_labels[index : index + 24],
                 test_images[index : index + 24],
-                "{}/Data/{}/info.jpg".format(output_path, int(index / 24) + offset),
+                "{}/image_classifier/prediction_output/{:05d}.jpg".format(
+                    output_path,
+                    int(index / 24),
+                ),
                 prediction_time,
             )