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Merged
CoreyEWood merged 22 commits into from
Nov 13, 2024
Merged

Allow specifying an ID when submitting an image query #271

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cb83e7b
update spec and add image_query_id param
CoreyEWood Oct 30, 2024
f0e8449
Automatically reformatting code
Oct 30, 2024
411a105
whitespace
CoreyEWood Oct 30, 2024
31cf7ad
Merge branch 'specify-iq-id' of https://github.com/groundlight/python…
CoreyEWood Oct 30, 2024
62eb124
add simple test
CoreyEWood Oct 30, 2024
6efe7eb
Automatically reformatting code
Oct 30, 2024
dfc5342
move ksuid to dev deps
CoreyEWood Oct 30, 2024
06c740f
push generated code
CoreyEWood Oct 31, 2024
53caf52
invalid id tests and test-dev line
CoreyEWood Nov 9, 2024
233732c
Automatically reformatting code
Nov 9, 2024
22c3ac8
tests for each submit IQ method, and verify metadata
CoreyEWood Nov 9, 2024
34f4998
Merge branch 'specify-iq-id' of https://github.com/groundlight/python…
CoreyEWood Nov 9, 2024
c7a551b
Merge branch 'main' into specify-iq-id
CoreyEWood Nov 11, 2024
176e8dc
verify that id is correct
CoreyEWood Nov 11, 2024
f35aebf
remove image_query_id from methods besides submit_image_query
CoreyEWood Nov 11, 2024
876ba50
Merge branch 'specify-iq-id' of https://github.com/groundlight/python…
CoreyEWood Nov 11, 2024
0359c18
refactor make file a bit
CoreyEWood Nov 11, 2024
3ec1077
fix make formatting
CoreyEWood Nov 11, 2024
76a9d0a
now it works
CoreyEWood Nov 11, 2024
8a4e534
remove tests for other methods
CoreyEWood Nov 11, 2024
1a69442
update docs slightly to remove reference to 'iqe'
CoreyEWood Nov 12, 2024
0b42f9a
remove invalid iq id tests
CoreyEWood Nov 13, 2024
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7 changes: 5 additions & 2 deletions Makefile
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Expand Up @@ -49,10 +49,13 @@ test-4edge: install ## Run tests against the prod API via the edge-endpoint (ne
${PYTEST} ${PROFILING_ARGS} ${TEST_ARGS} ${EDGE_FILTERS} test

test-local: install ## Run tests against a localhost API (needs GROUNDLIGHT_API_TOKEN and a local API server)
GROUNDLIGHT_ENDPOINT="http://localhost:8000/" ${PYTEST} ${TEST_ARGS} ${CLOUD_FILTERS} test
GROUNDLIGHT_ENDPOINT="http://localhost:8000/" $(MAKE) test

test-integ: install ## Run tests against the integ API server (needs GROUNDLIGHT_API_TOKEN)
GROUNDLIGHT_ENDPOINT="https://api.integ.groundlight.ai/" ${PYTEST} ${TEST_ARGS} ${CLOUD_FILTERS} test
GROUNDLIGHT_ENDPOINT="https://api.integ.groundlight.ai/" $(MAKE) test

test-dev: install ## Run tests against a dev API server (needs GROUNDLIGHT_API_TOKEN and properly configured dns-hostmap)
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@CoreyEWood CoreyEWood Nov 9, 2024

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Added this because it seems like it might be useful for the future, but let me know if we don't want this in here.

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@brandon-wada brandon-wada Nov 11, 2024

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I'm indifferent on this one. Only thought I have is that given the above two commands you could instead make these commands set a variable and then call make test using that variable

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@CoreyEWood CoreyEWood Nov 11, 2024

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Good idea, I made some changes accordingly - let me know if those are what you were envisioning.

GROUNDLIGHT_ENDPOINT="https://api.dev.groundlight.ai/" $(MAKE) test

test-docs: install ## Run the example code and tests in our docs against the prod API (needs GROUNDLIGHT_API_TOKEN)
${PYTEST} --markdown-docs ${TEST_ARGS} docs README.md
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4 changes: 2 additions & 2 deletions docs/docs/building-applications/7-edge.md
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Expand Up @@ -14,8 +14,8 @@ and for communicating with the Groundlight cloud service.

To use the edge endpoint, simply configure the Groundlight SDK to use the edge endpoint's URL instead of the cloud endpoint.
All application logic will work seamlessly and unchanged with the Groundlight Edge Endpoint, except some ML answers will
return much faster locally. The only visible difference is that image queries answered at the edge endpoint will have the prefix `iqe_` instead of `iq_` for image queries answered in the cloud. `iqe_` stands for "image query edge". Edge-originated
image queries will not appear in the cloud dashboard.
return much faster locally. Image queries answered at the edge endpoint will not appear in the cloud dashboard unless
specifically configured to do so, in which case the edge prediction will not be reflected on the image query in the cloud.

## Configuring the Edge Endpoint

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2 changes: 1 addition & 1 deletion generated/README.md
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Expand Up @@ -3,7 +3,7 @@ Groundlight makes it simple to understand images. You can easily create computer

This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:

- API version: 0.18.1
- API version: 0.18.2
- Package version: 1.0.0
- Build package: org.openapitools.codegen.languages.PythonClientCodegen

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2 changes: 1 addition & 1 deletion generated/docs/BinaryClassificationResult.md
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Expand Up @@ -6,7 +6,7 @@ Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**label** | **str** | |
**confidence** | **float** | | [optional]
**source** | **str** | Source is optional to support edge v0.2 | [optional]
**source** | **str** | | [optional]
**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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2 changes: 1 addition & 1 deletion generated/docs/CountingResult.md
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Expand Up @@ -6,7 +6,7 @@ Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**count** | **int** | |
**confidence** | **float** | | [optional]
**source** | **str** | Source is optional to support edge v0.2 | [optional]
**source** | **str** | | [optional]
**greater_than_max** | **bool** | | [optional]
**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]

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6 changes: 4 additions & 2 deletions generated/docs/ImageQueriesApi.md
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Expand Up @@ -248,7 +248,7 @@ Name | Type | Description | Notes



Submit an image query against a detector. You must use `\"Content-Type: image/jpeg\"` for the image data. For example: ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\ --header \"Content-Type: image/jpeg\" \\ --data-binary @path/to/filename.jpeg ```
Submit an image query against a detector. You must use `\"Content-Type: image/jpeg\"` or similar (image/png, image/webp, etc) for the image data. For example: ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\ --header \"Content-Type: image/jpeg\" \\ --data-binary @path/to/filename.jpeg ```

### Example

Expand Down Expand Up @@ -283,6 +283,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
api_instance = image_queries_api.ImageQueriesApi(api_client)
detector_id = "detector_id_example" # str | Choose a detector by its ID.
human_review = "human_review_example" # str | If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident. (optional)
image_query_id = "image_query_id_example" # str | The ID to assign to the created image query. (optional)
inspection_id = "inspection_id_example" # str | Associate the image query with an inspection. (optional)
metadata = "metadata_example" # str | A dictionary of custom key/value metadata to associate with the image query (limited to 1KB). (optional)
patience_time = 3.14 # float | How long to wait for a confident response. (optional)
Expand All @@ -299,7 +300,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
# example passing only required values which don't have defaults set
# and optional values
try:
api_response = api_instance.submit_image_query(detector_id, human_review=human_review, inspection_id=inspection_id, metadata=metadata, patience_time=patience_time, want_async=want_async, body=body)
api_response = api_instance.submit_image_query(detector_id, human_review=human_review, image_query_id=image_query_id, inspection_id=inspection_id, metadata=metadata, patience_time=patience_time, want_async=want_async, body=body)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->submit_image_query: %s\n" % e)
Expand All @@ -312,6 +313,7 @@ Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**detector_id** | **str**| Choose a detector by its ID. |
**human_review** | **str**| If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident. | [optional]
**image_query_id** | **str**| The ID to assign to the created image query. | [optional]
**inspection_id** | **str**| Associate the image query with an inspection. | [optional]
**metadata** | **str**| A dictionary of custom key/value metadata to associate with the image query (limited to 1KB). | [optional]
**patience_time** | **float**| How long to wait for a confident response. | [optional]
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2 changes: 1 addition & 1 deletion generated/docs/LabelValue.md
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Expand Up @@ -9,9 +9,9 @@ Name | Type | Description | Notes
**annotations_requested** | **[bool, date, datetime, dict, float, int, list, str, none_type]** | | [readonly]
**created_at** | **datetime** | | [readonly]
**detector_id** | **int, none_type** | | [readonly]
**source** | **bool, date, datetime, dict, float, int, list, str, none_type** | | [readonly]
**text** | **str, none_type** | Text annotations | [readonly]
**rois** | [**[ROI], none_type**](ROI.md) | | [optional]
**source** | **bool, date, datetime, dict, float, int, list, str, none_type** | | [optional] [readonly]
**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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2 changes: 1 addition & 1 deletion generated/docs/MultiClassificationResult.md
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Expand Up @@ -6,7 +6,7 @@ Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**label** | **str** | |
**confidence** | **float** | | [optional]
**source** | **str** | Source is optional to support edge v0.2 | [optional]
**source** | **str** | | [optional]
**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/__init__.py
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Expand Up @@ -5,7 +5,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/actions_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/detector_groups_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/detector_reset_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/detectors_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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9 changes: 7 additions & 2 deletions generated/groundlight_openapi_client/api/image_queries_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
Expand Down Expand Up @@ -171,6 +171,7 @@ def __init__(self, api_client=None):
"all": [
"detector_id",
"human_review",
"image_query_id",
"inspection_id",
"metadata",
"patience_time",
Expand All @@ -190,6 +191,7 @@ def __init__(self, api_client=None):
"openapi_types": {
"detector_id": (str,),
"human_review": (str,),
"image_query_id": (str,),
"inspection_id": (str,),
"metadata": (str,),
"patience_time": (float,),
Expand All @@ -199,6 +201,7 @@ def __init__(self, api_client=None):
"attribute_map": {
"detector_id": "detector_id",
"human_review": "human_review",
"image_query_id": "image_query_id",
"inspection_id": "inspection_id",
"metadata": "metadata",
"patience_time": "patience_time",
Expand All @@ -207,6 +210,7 @@ def __init__(self, api_client=None):
"location_map": {
"detector_id": "query",
"human_review": "query",
"image_query_id": "query",
"inspection_id": "query",
"metadata": "query",
"patience_time": "query",
Expand Down Expand Up @@ -406,7 +410,7 @@ def list_image_queries(self, **kwargs):
def submit_image_query(self, detector_id, **kwargs):
"""submit_image_query # noqa: E501

Submit an image query against a detector. You must use `\"Content-Type: image/jpeg\"` for the image data. For example: ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\ --header \"Content-Type: image/jpeg\" \\ --data-binary @path/to/filename.jpeg ``` # noqa: E501
Submit an image query against a detector. You must use `\"Content-Type: image/jpeg\"` or similar (image/png, image/webp, etc) for the image data. For example: ```Bash $ curl https://api.groundlight.ai/device-api/v1/image-queries?detector_id=det_abc123 \\ --header \"Content-Type: image/jpeg\" \\ --data-binary @path/to/filename.jpeg ``` # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True

Expand All @@ -418,6 +422,7 @@ def submit_image_query(self, detector_id, **kwargs):

Keyword Args:
human_review (str): If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident.. [optional]
image_query_id (str): The ID to assign to the created image query.. [optional]
inspection_id (str): Associate the image query with an inspection.. [optional]
metadata (str): A dictionary of custom key/value metadata to associate with the image query (limited to 1KB).. [optional]
patience_time (float): How long to wait for a confident response.. [optional]
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/labels_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/notes_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api/user_api.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/api_client.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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4 changes: 2 additions & 2 deletions generated/groundlight_openapi_client/configuration.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
Expand Down Expand Up @@ -419,7 +419,7 @@ def to_debug_report(self):
"Python SDK Debug Report:\n"
"OS: {env}\n"
"Python Version: {pyversion}\n"
"Version of the API: 0.18.1\n"
"Version of the API: 0.18.2\n"
"SDK Package Version: 1.0.0".format(env=sys.platform, pyversion=sys.version)
)

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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/exceptions.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/action.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/action_list.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/all_notes.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/annotations_requested_enum.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/b_box_geometry.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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2 changes: 1 addition & 1 deletion generated/groundlight_openapi_client/model/b_box_geometry_request.py
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Expand Up @@ -3,7 +3,7 @@

Groundlight makes it simple to understand images. You can easily create computer vision detectors just by describing what you want to know using natural language. # noqa: E501

The version of the OpenAPI document: 0.18.1
The version of the OpenAPI document: 0.18.2
Contact: support@groundlight.ai
Generated by: https://openapi-generator.tech
"""
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