clarifai-datautils

Author: sanjaychelliah

README.md

@@ -27,7 +27,7 @@ This is a collection of utilities for handling various types of multimedia data.
 Install from PyPi:
 
 ```bash
-pip install clarifai-utils
+pip install clarifai-datautils
 ```
 
 Install from Source:
@@ -46,7 +46,7 @@ pip3 install -r requirements.txt
 Quick intro to Image Annotation Conversion feature
 
 ```python
-from clarifai_utils import ImageAnnotations
+from clarifai_datautils import ImageAnnotations
 
 annotated_dataset = ImageAnnotations.import_from(path= 'folder_path', format= 'annotation_format')
 ```
@@ -63,7 +63,7 @@ annotated_dataset = ImageAnnotations.import_from(path= 'folder_path', format= 'a
 ## Usage
 ### Image Annotation conversion
 ```python
-from clarifai_utils import ImageAnnotations
+from clarifai_datautils import ImageAnnotations
 #import from folder
 coco_dataset = ImageAnnotations.import_from(path='folder_path',format= 'coco_detection')
 

clarifai_datautils/__init__.py

@@ -0,0 +1,3 @@
+from clarifai_datautils.image.annotation_conversion.annotations import ImageAnnotations
+
+__all__ = ['ImageAnnotations']

clarifai_utils/constants/annotations.py renamed to clarifai_datautils/constants/annotations.py

@@ -7,7 +7,7 @@ A framework to load, export and analyze different annotated datasets.
 
 ### Features
 ```python
-from clarifai_utils import ImageAnnotations
+from clarifai_datautils import ImageAnnotations
 #import from folder
 coco_dataset = ImageAnnotations.import_from(path='folder_path',format= 'coco_detection')
 
@@ -26,7 +26,7 @@ coco_dataset.export_to('voc_detection')
 
 ### With Clarifai Python SDK
 ```python
-from clarifai_utils import ImageAnnotations
+from clarifai_datautils import ImageAnnotations
 coco_dataset = ImageAnnotations.import_from(path='folder_path',format= 'coco_detection')
 
 #clarifai SDK

clarifai_utils/errors.py renamed to clarifai_datautils/errors.py

@@ -4,14 +4,14 @@
 from datumaro.components.errors import (DatasetError, DatasetImportError, DatasetNotFoundError,
                                         MultipleFormatsMatchError)
 
-from clarifai_utils.constants.annotations import (IMAGE_ANNOTATION_FORMATS,
-                                                  IMAGE_ANNOTATION_FORMATS_TO_TASKS,
-                                                  IMAGE_FORMAT_MAP)
-from clarifai_utils.errors import AnnotationsDatasetError, AnnotationsFormatError
-from clarifai_utils.image.annotation_conversion.base import ClarifaiDataLoader
-from clarifai_utils.image.annotation_conversion.loaders import (ClassificationDataLoader,
-                                                                DetectionDataLoader,
-                                                                SegmentationDataLoader)
+from clarifai_datautils.constants.annotations import (IMAGE_ANNOTATION_FORMATS,
+                                                      IMAGE_ANNOTATION_FORMATS_TO_TASKS,
+                                                      IMAGE_FORMAT_MAP)
+from clarifai_datautils.errors import AnnotationsDatasetError, AnnotationsFormatError
+from clarifai_datautils.image.annotation_conversion.base import ClarifaiDataLoader
+from clarifai_datautils.image.annotation_conversion.loaders import (ClassificationDataLoader,
+                                                                    DetectionDataLoader,
+                                                                    SegmentationDataLoader)
 
 
 class ImageAnnotations():
@@ -47,7 +47,7 @@ def import_from(cls, path: str, format: str) -> Dataset:
         A dataset object.
 
     Example:
-        >>> from clarifai_utils import ImageAnnotations
+        >>> from clarifai_datautils import ImageAnnotations
         >>> format = ImageAnnotations.import_from(path=folder_path, format = 'coco_detection')
     """
     if format not in IMAGE_ANNOTATION_FORMATS:
@@ -71,7 +71,7 @@ def get_info(self,) -> Dict[str, Any]:
         A dictionary containing the information about the dataset.
 
     Example:
-        >>> from clarifai_utils import ImageAnnotations
+        >>> from clarifai_datautils import ImageAnnotations
         >>> format = ImageAnnotations.import_from(path=folder_path, format = 'coco_detection')
         >>> info = format.get_info()
     """
@@ -92,7 +92,7 @@ def export_to(self, path: str, format: str) -> None:
         format (str): The format of the dataset.
 
     Example:
-        >>> from clarifai_utils import ImageAnnotations
+        >>> from clarifai_datautils import ImageAnnotations
         >>> format = ImageAnnotations.import_from(path=folder_path, format = 'coco_detection')
         >>> format.export_to(path=output_folder_path, format = 'voc_detection')
     """
@@ -116,7 +116,7 @@ def detect_format(path: str) -> str:
         The format of the dataset.
 
     Example:
-        >>> from clarifai_utils import ImageAnnotations
+        >>> from clarifai_datautils import ImageAnnotations
         >>> format = ImageAnnotations.detect_format(path=folder_path)
     """
     try:
@@ -138,7 +138,7 @@ def dataloader(self) -> ClarifaiDataLoader:
         A ClarifaiDataloader object.
 
     Example:
-        >>> from clarifai_utils import ImageAnnotations
+        >>> from clarifai_datautils import ImageAnnotations
         >>> format = ImageAnnotations.import_from(path=folder_path, format = 'coco_detection')
         >>> clarifai_dataset_loader = format.dataloader
     """