PersonGroupPersonOperations Class

PersonGroupPersonOperations operations.

You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute.

Inheritance
builtins.object
PersonGroupPersonOperations

Constructor

PersonGroupPersonOperations(client, config, serializer, deserializer)

Parameters

client
Required

Client for service requests.

config
Required

Configuration of service client.

serializer
Required

An object model serializer.

deserializer
Required

An object model deserializer.

Methods

add_face_from_stream

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.
  • The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.
  • Different 'detectionModel' values can be provided. To use and compare different detection models, please refer to How to specify a detection model.
add_face_from_url

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.
  • The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.
  • Different 'detectionModel' values can be provided. To use and compare different detection models, please refer to How to specify a detection model.
create

Create a new person in a specified person group.

delete

Delete an existing person from a person group. The persistedFaceId, userData, person name and face feature in the person entry will all be deleted.

delete_face

Delete a face from a person in a person group by specified personGroupId, personId and persistedFaceId.
Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.

get

Retrieve a person's information, including registered persisted faces, name and userData.

get_face

Retrieve information about a persisted face (specified by persistedFaceId, personId and its belonging personGroupId).

list

List all persons in a person group, and retrieve person information (including personId, name, userData and persistedFaceIds of registered faces of the person).

update

Update name or userData of a person.

update_face

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.

add_face_from_stream

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.
  • The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.
  • Different 'detectionModel' values can be provided. To use and compare different detection models, please refer to How to specify a detection model.
add_face_from_stream(person_group_id, person_id, image, user_data=None, target_face=None, detection_model='detection_01', custom_headers=None, raw=False, callback=None, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

image
<xref:Generator>
Required

An image stream.

user_data
str
Required
default value: None

User-specified data about the face for any purpose. The maximum length is 1KB.

target_face
list[int]
Required
default value: None

A face rectangle to specify the target face to be added to a person in the format of "targetFace=left,top,width,height". E.g. "targetFace=10,10,100,100". If there is more than one face in the image, targetFace is required to specify which face to add. No targetFace means there is only one face detected in the entire image.

detection_model
str or DetectionModel
Required
default value: detection_01

Name of detection model. Detection model is used to detect faces in the submitted image. A detection model name can be provided when performing Face - Detect or (Large)FaceList - Add Face or (Large)PersonGroup - Add Face. The default value is 'detection_01', if another model is needed, please explicitly specify it. Possible values include: 'detection_01', 'detection_02', 'detection_03'

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

callback
<xref:Callable>[<xref:Bytes>, <xref:response=None>]
Required
default value: None

When specified, will be called with each chunk of data that is streamed. The callback should take two arguments, the bytes of the current chunk of data and the response object. If the data is uploading, response will be None.

operation_config
Required

Operation configuration overrides.

Returns

PersistedFace or ClientRawResponse if raw=true

Return type

Exceptions

add_face_from_url

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.
  • The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.
  • Different 'detectionModel' values can be provided. To use and compare different detection models, please refer to How to specify a detection model.
add_face_from_url(person_group_id, person_id, url, user_data=None, target_face=None, detection_model='detection_01', custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

url
str
Required

Publicly reachable URL of an image

user_data
str
Required
default value: None

User-specified data about the face for any purpose. The maximum length is 1KB.

target_face
list[int]
Required
default value: None

A face rectangle to specify the target face to be added to a person in the format of "targetFace=left,top,width,height". E.g. "targetFace=10,10,100,100". If there is more than one face in the image, targetFace is required to specify which face to add. No targetFace means there is only one face detected in the entire image.

detection_model
str or DetectionModel
Required
default value: detection_01

Name of detection model. Detection model is used to detect faces in the submitted image. A detection model name can be provided when performing Face - Detect or (Large)FaceList - Add Face or (Large)PersonGroup - Add Face. The default value is 'detection_01', if another model is needed, please explicitly specify it. Possible values include: 'detection_01', 'detection_02', 'detection_03'

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

PersistedFace or ClientRawResponse if raw=true

Return type

Exceptions

create

Create a new person in a specified person group.

create(person_group_id, name=None, user_data=None, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

name
str
Required
default value: None

User defined name, maximum length is 128.

user_data
str
Required
default value: None

User specified data. Length should not exceed 16KB.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

Person or ClientRawResponse if raw=true

Return type

Exceptions

delete

Delete an existing person from a person group. The persistedFaceId, userData, person name and face feature in the person entry will all be deleted.

delete(person_group_id, person_id, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

None or ClientRawResponse if raw=true

Return type

None,

Exceptions

delete_face

Delete a face from a person in a person group by specified personGroupId, personId and persistedFaceId.
Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.

delete_face(person_group_id, person_id, persisted_face_id, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

persisted_face_id
str
Required

Id referencing a particular persistedFaceId of an existing face.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

None or ClientRawResponse if raw=true

Return type

None,

Exceptions

get

Retrieve a person's information, including registered persisted faces, name and userData.

get(person_group_id, person_id, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

Person or ClientRawResponse if raw=true

Return type

Exceptions

get_face

Retrieve information about a persisted face (specified by persistedFaceId, personId and its belonging personGroupId).

get_face(person_group_id, person_id, persisted_face_id, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

persisted_face_id
str
Required

Id referencing a particular persistedFaceId of an existing face.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

PersistedFace or ClientRawResponse if raw=true

Return type

Exceptions

list

List all persons in a person group, and retrieve person information (including personId, name, userData and persistedFaceIds of registered faces of the person).

list(person_group_id, start=None, top=None, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

start
str
Required
default value: None

Starting person id to return (used to list a range of persons).

top
int
Required
default value: None

Number of persons to return starting with the person id indicated by the 'start' parameter.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

list or ClientRawResponse if raw=true

Return type

Exceptions

update

Update name or userData of a person.

update(person_group_id, person_id, name=None, user_data=None, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

name
str
Required
default value: None

User defined name, maximum length is 128.

user_data
str
Required
default value: None

User specified data. Length should not exceed 16KB.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

None or ClientRawResponse if raw=true

Return type

None,

Exceptions

update_face

Add a face to a person into a person group for face identification or verification. To deal with an image contains multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature will be stored on server until PersonGroup PersonFace - Delete, PersonGroup Person - Delete or PersonGroup - Delete is called.
Note persistedFaceId is different from faceId generated by [Face

Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).

  • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from Face - Detect, there’s no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting faces to/from different persons are processed in parallel.
update_face(person_group_id, person_id, persisted_face_id, user_data=None, custom_headers=None, raw=False, **operation_config)

Parameters

person_group_id
str
Required

Id referencing a particular person group.

person_id
str
Required

Id referencing a particular person.

persisted_face_id
str
Required

Id referencing a particular persistedFaceId of an existing face.

user_data
str
Required
default value: None

User-provided data attached to the face. The size limit is 1KB.

custom_headers
dict
Required
default value: None

headers that will be added to the request

raw
bool
Required
default value: False

returns the direct response alongside the deserialized response

operation_config
Required

Operation configuration overrides.

Returns

None or ClientRawResponse if raw=true

Return type

None,

Exceptions

Attributes

models

models = <module 'azure.cognitiveservices.vision.face.models' from 'c:\\hostedtoolcache\\windows\\python\\3.6.8\\x64\\lib\\site-packages\\azure\\cognitiveservices\\vision\\face\\models\\__init__.py'>