All URIs are relative to https://api.groundlight.ai/device-api
Method | HTTP request | Description |
---|---|---|
get_image | GET /v1/image-queries/{id}/image | |
get_image_query | GET /v1/image-queries/{id} | |
list_image_queries | GET /v1/image-queries | |
submit_image_query | POST /v1/image-queries |
file_type get_image(id)
Retrieve an image by its ID.
- Api Key Authentication (ApiToken):
import time
import groundlight_openapi_client
from groundlight_openapi_client.api import image_queries_api
from pprint import pprint
# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
# See configuration.py for a list of all supported configuration parameters.
configuration = groundlight_openapi_client.Configuration(
host = "https://api.groundlight.ai/device-api"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiToken
configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiToken'] = 'Bearer'
# Enter a context with an instance of the API client
with groundlight_openapi_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = image_queries_api.ImageQueriesApi(api_client)
id = "id_example" # str | Retrieve the image associated with the image query ID.
# example passing only required values which don't have defaults set
try:
api_response = api_instance.get_image(id)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->get_image: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
id | str | Retrieve the image associated with the image query ID. |
file_type
- Content-Type: Not defined
- Accept: image/jpeg
Status code | Description | Response headers |
---|---|---|
200 | - |
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ImageQuery get_image_query(id)
Retrieve an image-query by its ID.
- Api Key Authentication (ApiToken):
import time
import groundlight_openapi_client
from groundlight_openapi_client.api import image_queries_api
from groundlight_openapi_client.model.image_query import ImageQuery
from pprint import pprint
# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
# See configuration.py for a list of all supported configuration parameters.
configuration = groundlight_openapi_client.Configuration(
host = "https://api.groundlight.ai/device-api"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiToken
configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiToken'] = 'Bearer'
# Enter a context with an instance of the API client
with groundlight_openapi_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = image_queries_api.ImageQueriesApi(api_client)
id = "id_example" # str | Choose an image query by its ID.
# example passing only required values which don't have defaults set
try:
api_response = api_instance.get_image_query(id)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->get_image_query: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
id | str | Choose an image query by its ID. |
- Content-Type: Not defined
- Accept: application/json
Status code | Description | Response headers |
---|---|---|
200 | - |
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PaginatedImageQueryList list_image_queries()
Retrieve a list of image-queries.
- Api Key Authentication (ApiToken):
import time
import groundlight_openapi_client
from groundlight_openapi_client.api import image_queries_api
from groundlight_openapi_client.model.paginated_image_query_list import PaginatedImageQueryList
from pprint import pprint
# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
# See configuration.py for a list of all supported configuration parameters.
configuration = groundlight_openapi_client.Configuration(
host = "https://api.groundlight.ai/device-api"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiToken
configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiToken'] = 'Bearer'
# Enter a context with an instance of the API client
with groundlight_openapi_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = image_queries_api.ImageQueriesApi(api_client)
detector_id = "detector_id_example" # str | Optionally filter image queries by detector ID. (optional)
page = 1 # int | A page number within the paginated result set. (optional)
page_size = 1 # int | Number of items to return per page. (optional)
# example passing only required values which don't have defaults set
# and optional values
try:
api_response = api_instance.list_image_queries(detector_id=detector_id, page=page, page_size=page_size)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->list_image_queries: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
detector_id | str | Optionally filter image queries by detector ID. | [optional] |
page | int | A page number within the paginated result set. | [optional] |
page_size | int | Number of items to return per page. | [optional] |
- Content-Type: Not defined
- Accept: application/json
Status code | Description | Response headers |
---|---|---|
200 | - |
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ImageQuery submit_image_query(detector_id)
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
- Api Key Authentication (ApiToken):
import time
import groundlight_openapi_client
from groundlight_openapi_client.api import image_queries_api
from groundlight_openapi_client.model.image_query import ImageQuery
from pprint import pprint
# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
# See configuration.py for a list of all supported configuration parameters.
configuration = groundlight_openapi_client.Configuration(
host = "https://api.groundlight.ai/device-api"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure API key authorization: ApiToken
configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['ApiToken'] = 'Bearer'
# Enter a context with an instance of the API client
with groundlight_openapi_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = image_queries_api.ImageQueriesApi(api_client)
detector_id = "detector_id_example" # str | Choose a detector by its ID.
confidence_threshold = 0 # float | The confidence threshold for the image query. (optional)
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)
want_async = "want_async_example" # str | If \"true\" then submitting an image query returns immediately without a result. The result will be computed asynchronously and can be retrieved later. (optional)
body = open('/path/to/file', 'rb') # file_type | (optional)
# example passing only required values which don't have defaults set
try:
api_response = api_instance.submit_image_query(detector_id)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->submit_image_query: %s\n" % e)
# example passing only required values which don't have defaults set
# and optional values
try:
api_response = api_instance.submit_image_query(detector_id, confidence_threshold=confidence_threshold, 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)
Name | Type | Description | Notes |
---|---|---|---|
detector_id | str | Choose a detector by its ID. | |
confidence_threshold | float | The confidence threshold for the image query. | [optional] |
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] |
want_async | str | If "true" then submitting an image query returns immediately without a result. The result will be computed asynchronously and can be retrieved later. | [optional] |
body | file_type | [optional] |
- Content-Type: image/jpeg, image/jpg, image/png, image/gif, image/webp, image/bmp, image/x-icon
- Accept: application/json
Status code | Description | Response headers |
---|---|---|
201 | - |
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