Recognition Version

Version object

Definition

A recognition version implements a specification: this is the link between a specification and a neural network.

Attribute	Type	Attributes	Description
id	int	read-only	The ID of the recognition version.
spec_id	int	immutable	The ID of the parent recognition specification.
network_id	int	immutable	The ID of the neural network which will cary on the computation.
post_processings	object	immutable	The post-processing object that defines some network specific adjustments like the output tensor, some thresholds, etc. The length of this array must exactly match the length of the outputs field of the parent specification and the i-th post-processing will be matched to the i-th output.
spec_name	string	read-only	The name of the recognition specification corresponding to spec_id. This is convenient for display purposes.
network_name	string	read-only	The name of the neural network corresponding to network_id. This is convenient for display purposes.
update_date	string	read-only	Date time (ISO 8601 format) of the creation specification version.

Post-processing

The fields of this object are mutually exclusive: you must specify exactly one of them.

Attribute	Type	Description
classification	object	A post-processing of type classification for an output of type labels.
detection	object	A post-processing of type detection for an output of type labels.

Classification post-processing

Attribute	Type	Description
thresholds	array(float)	A list of threshold for each label of the recognition specification. The label will be considered present if its score is greater than the threshold. The length of this array must exactly match the length of the labels field of the parent labels specification and the i-th threshold will be matched to the i-th label.

Detection post-processing

You must specify exactly one of the anchored_output, direct_output or yolo_output fields. When we specify an expected tensor size in the description of those fields, we omit the first dimension of the tensor (i.e. the batch size).

Attribute	Type	Description
thresholds	array(float)	A list of threshold for each label of the recognition specification. The label will be considered present if its score is greater than the threshold. The length of this array must exactly match the length of the labels field of the parent labels specification and the i-th threshold will be matched to the i-th label.
nms_threshold	float	The Jaccard index threshold that will be applied to NMS to decide if two boxes of the same label represent the same object.

Definition

Creates a new recognition version.

cURL

POST https://api.deepomatic.com/v0.7/recognition/versions

Arguments

Parameter	Type	Default	Description
spec_id	int		The ID of the parent recognition specification.
network_id	int		The ID of the neural network which will cary on the computation.
post_processings	object		The post-processing object that defines some network specific adjustments like the output tensor, some thresholds, etc. The length of this array must exactly match the length of the outputs field of the parent specification and the i-th post-processing will be matched to the i-th output.

Code sample

cURL

curl https://api.deepomatic.com/v0.7/recognition/versions \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}" \
-d '{
"spec_id": 42,
"network_id": 123,
"post_processings": [{"classification": {"output_tensor": "inception_v3/logits/predictions", "thresholds": [0.025, 0.025]}}]
}' \
-H "Content-Type: application/json"

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

client.RecognitionVersion.create(
    spec_id=42,
    network_id=123,
    post_processings=[{
        "classification": {
            "output_tensor": "inception_v3/logits/predictions",
            "thresholds": [
                0.5,
                0.5
            ]
        }
    }]
)

Response

A recognition version object.

JSON

{
    "id": 1,
    "spec_id": 42,
    "spec_name": "hot-dog VS not hot-dog classifier",
    "network_id": 123,
    "network_name": "hot-dog VS not hot-dog classifier",
    "update_date": "2018-03-09T18:30:43.404610Z",
    "post_processings": [{
        "classification": {
            "output_tensor": "inception_v3/logits/predictions",
            "thresholds": [
                0.5,
                0.5
            ]
        }
    }]
}

List versions

Definition

Get the list of existing recognition versions.

cURL

# To access all your versions, use:
GET https://api.deepomatic.com/v0.7/recognition/versions

# To access versions attached to a given recognition spec, use:
GET https://api.deepomatic.com/v0.7/recognition/specs/{SPEC_ID}/versions

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

# To access all your versions, use:
client.RecognitionVersion.list()

# To access versions attached to a given recognition spec, use:
client.RecognitionSpec.retrieve({SPEC_ID}).versions()

Code sample

cURL

# To access all your versions:
curl https://api.deepomatic.com/v0.7/recognition/versions \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}"

# To access versions attached to a given recognition spec, use:
curl https://api.deepomatic.com/v0.7/recognition/specs/42/versions \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}"

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

# To access all your versions, use:
for version in client.RecognitionVersion.list():
    print(version)

# To access versions attached to a given recognition spec, use:
for version in client.RecognitionSpec.retrieve(42).versions():
    print(version)

Response

A paginated list of responses.

Attribute	Type	Description
count	int	The total number of results.
next	string	The URL to the next page.
previous	string	The URL to the previous page.
results	array(object)	A list of your recognition version objects. Please note that the post_processings field is not present.

JSON

{
    "count": 2,
    "next": null,
    "previous": null,
    "results": [
        {
            "id": 1,
            "spec_id": 42,
            "spec_name": "hot-dog VS not hot-dog classifier",
            "network_id": 123,
            "network_name": "hot-dog VS not hot-dog classifier",
            "update_date": "2018-03-09T18:30:43.404610Z"
        },
        ...
    ]
}

Retrieve a version

Definition

Retrieve a recognition version by ID.

cURL

GET https://api.deepomatic.com/v0.7/recognition/versions/{VERSION_ID}

Arguments

Parameter	Type	Default	Description
version_id	int		The ID of the version to retrieve.

Code sample

cURL

curl https://api.deepomatic.com/v0.7/recognition/versions/1 \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}"

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

client.RecognitionVersion.retrieve(1)

Response

A recognition version object.

Delete a version

Definition

Permanently deletes a recognition version.

cURL

DELETE https://api.deepomatic.com/v0.7/recognition/versions/{VERSION_ID}

This cannot be undone.

Arguments

Parameter	Type	Default	Description
version_id	int		The ID of the version to delete.

Code sample

cURL

curl https://api.deepomatic.com/v0.7/recognition/versions/42 \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}" \
-X DELETE

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

version = client.RecognitionVersion.retrieve(42)
version.delete()

Response

Return 204 (no content).

Version inference

Definition

Run inference on this specification version. This endpoint returns a task ID. Please refer to the Specification Inference to have a comprehensive list of the inference request arguments and response.

cURL

POST https://api.deepomatic.com/v0.7/recognition/versions/{VERSION_ID}/inference

Code sample

cURL

curl https://api.deepomatic.com/v0.7/recognition/versions/1/inference \
-X POST
-H "Content-Type: application/json" \
-H "X-API-KEY: ${DEEPOMATIC_API_KEY}" \
-d '{"inputs": [{"image": {"source": "https://static.deepomatic.com/resources/demos/api-clients/dog2.jpg"}}]}'

Python

import os
from deepomatic.api.client import Client
client = Client(api_key=os.getenv('DEEPOMATIC_API_KEY'))

version = client.RecognitionVersion.retrieve(1)
url = "https://static.deepomatic.com/resources/demos/api-clients/dog2.jpg"
version.inference(inputs=[deepomatic.ImageInput(url)])

Response

A task JSON.

JSON

{
    "task_id": "123"
}