CL will fix the typos in the tasks files

PiperOrigin-RevId: 522240681

mediapipe/model_maker/python/core/data/dataset.py

@@ -84,7 +84,7 @@ class Dataset(object):
         create randomness during model training.
       preprocess: A function taking three arguments in order, feature, label and
         boolean is_training.
-      drop_remainder: boolean, whether the finaly batch drops remainder.
+      drop_remainder: boolean, whether the finally batch drops remainder.
 
     Returns:
       A TF dataset ready to be consumed by Keras model.

mediapipe/model_maker/python/core/hyperparameters.py

@@ -32,7 +32,7 @@ class BaseHParams:
     epochs: Number of training iterations over the dataset.
     steps_per_epoch: An optional integer indicate the number of training steps
       per epoch. If not set, the training pipeline calculates the default steps
-      per epoch as the training dataset size devided by batch size.
+      per epoch as the training dataset size divided by batch size.
     shuffle: True if the dataset is shuffled before training.
     export_dir: The location of the model checkpoint files.
     distribution_strategy: A string specifying which Distribution Strategy to

mediapipe/model_maker/python/vision/gesture_recognizer/BUILD

@@ -21,7 +21,7 @@ package(
     default_visibility = ["//mediapipe:__subpackages__"],
 )
 
-# TODO: Remove the unncessary test data once the demo data are moved to an open-sourced
+# TODO: Remove the unnecessary test data once the demo data are moved to an open-sourced
 # directory.
 filegroup(
     name = "testdata",

mediapipe/model_maker/python/vision/object_detector/dataset.py

@@ -155,8 +155,8 @@ class Dataset(classification_dataset.ClassificationDataset):
       ObjectDetectorDataset object.
     """
     # Get TFRecord Files
-    tfrecord_file_patten = cache_prefix + '*.tfrecord'
-    matched_files = tf.io.gfile.glob(tfrecord_file_patten)
+    tfrecord_file_pattern = cache_prefix + '*.tfrecord'
+    matched_files = tf.io.gfile.glob(tfrecord_file_pattern)
     if not matched_files:
       raise ValueError('TFRecord files are empty.')
 

mediapipe/model_maker/python/vision/object_detector/dataset_util.py

@@ -345,7 +345,7 @@ def _coco_annotations_to_lists(
   Args:
     bbox_annotations: List of dicts with keys ['bbox', 'category_id']
     image_height: Height of image
-    image_width: Width of iamge
+    image_width: Width of image
 
   Returns:
     (data, num_annotations_skipped) tuple where data contains the keys: