[formrecognizer] Adding comment about image/bmp being accepted (#17130)

* adding comment about image/bmp being accepted

* add comments on async clients

* update changelog

sdk/formrecognizer/azure-ai-formrecognizer/CHANGELOG.md

@@ -2,6 +2,10 @@
 
 ## 3.1.0b4 (Unreleased)
 
+**New features**
+
+- Content-type `image/bmp` now supported by custom forms and training methods.
+
 **Dependency Updates**
 
 - Bumped `msrest` requirement from `0.6.12` to `0.6.21`.

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_form_recognizer_client.py

@@ -597,10 +597,10 @@ def begin_recognize_custom_forms(self, model_id, form, **kwargs):
         """Analyze a custom form with a model trained with or without labels. The form
         to analyze should be of the same type as the forms that were used to train the model.
         The input document must be of one of the supported content types - 'application/pdf',
-        'image/jpeg', 'image/png', or 'image/tiff'.
+        'image/jpeg', 'image/png', 'image/tiff', or 'image/bmp'.
 
         :param str model_id: Custom model identifier.
-        :param form: JPEG, PNG, PDF, or TIFF type file stream or bytes.
+        :param form: JPEG, PNG, PDF, TIFF, or BMP type file stream or bytes.
         :type form: bytes or IO[bytes]
         :keyword bool include_field_elements:
             Whether or not to include all lines per page and field elements such as lines, words,
@@ -687,7 +687,7 @@ def begin_recognize_custom_forms_from_url(self, model_id, form_url, **kwargs):
 
         :param str model_id: Custom model identifier.
         :param str form_url: The URL of the form to analyze. The input must be a valid, encoded URL
-            of one of the supported formats: JPEG, PNG, PDF, or TIFF.
+            of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
         :keyword bool include_field_elements:
             Whether or not to include all lines per page and field elements such as lines, words,
             and selection marks for each form field.

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_form_training_client.py

@@ -86,7 +86,7 @@ def begin_training(self, training_files_url, use_training_labels, **kwargs):
         externally accessible Azure storage blob container URI (preferably a Shared Access Signature URI). Note that
         a container URI (without SAS) is accepted only when the container is public.
         Models are trained using documents that are of the following content type - 'application/pdf',
-        'image/jpeg', 'image/png', 'image/tiff'. Other types of content in the container is ignored.
+        'image/jpeg', 'image/png', 'image/tiff', or 'image/bmp'. Other types of content in the container is ignored.
 
         :param str training_files_url: An Azure Storage blob container's SAS URI. A container URI (without SAS)
             can be used if the container is public. For more information on setting up a training data set, see:

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_recognizer_client_async.py

@@ -608,10 +608,10 @@ async def begin_recognize_custom_forms(
         """Analyze a custom form with a model trained with or without labels. The form
         to analyze should be of the same type as the forms that were used to train the model.
         The input document must be of one of the supported content types - 'application/pdf',
-        'image/jpeg', 'image/png', or 'image/tiff'.
+        'image/jpeg', 'image/png', 'image/tiff', or 'image/bmp'.
 
         :param str model_id: Custom model identifier.
-        :param form: JPEG, PNG, PDF, or TIFF type file stream or bytes.
+        :param form: JPEG, PNG, PDF, TIFF, or BMP type file stream or bytes.
         :type form: bytes or IO[bytes]
         :keyword bool include_field_elements:
             Whether or not to include all lines per page and field elements such as lines, words,
@@ -701,7 +701,7 @@ async def begin_recognize_custom_forms_from_url(
 
         :param str model_id: Custom model identifier.
         :param str form_url: The URL of the form to analyze. The input must be a valid, encoded URL
-            of one of the supported formats: JPEG, PNG, PDF, or TIFF.
+            of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
         :keyword bool include_field_elements:
             Whether or not to include all lines per page and field elements such as lines, words,
             and selection marks for each form field.

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_training_client_async.py

@@ -80,7 +80,7 @@ async def begin_training(
         externally accessible Azure storage blob container URI (preferably a Shared Access Signature URI). Note that
         a container URI (without SAS) is accepted only when the container is public.
         Models are trained using documents that are of the following content type - 'application/pdf',
-        'image/jpeg', 'image/png', 'image/tiff'. Other types of content in the container is ignored.
+        'image/jpeg', 'image/png', 'image/tiff', or 'image/bmp'. Other types of content in the container is ignored.
 
         :param str training_files_url: An Azure Storage blob container's SAS URI. A container URI (without SAS)
             can be used if the container is public. For more information on setting up a training data set, see: