dsp_api module
DSPApi
Parameters
api_client=None
Methods
clear_dsp_block
Clear DSP block
Clear generated features for a DSP block (used in tests).
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.generic_api_response.GenericApiResponse
download_dsp_data
Download DSP data
Download output from a DSP block over all data in the training set, already sliced in windows. In Numpy binary format.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
category: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='Which of the three acquisition categories to download data from', extra={})]
raw: Annotated[Optional[pydantic.types.StrictBool], FieldInfo(default=PydanticUndefined, description='Whether to download raw data or processed data. Processed data is the default.', extra={})] = None
**kwargs
Return
str
download_dsp_labels
Download DSP labels
Download labels for a DSP block over all data in the training set, already sliced in windows.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
category: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='Which of the three acquisition categories to download data from', extra={})]
**kwargs
Return
str
dsp_get_features_for_sample
Features for sample
Runs the DSP block against a sample. This will move the sliding window (dependent on the sliding window length and the sliding window increase parameters in the impulse) over the complete file, and run the DSP function for every window that is extracted.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
sample_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Sample ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_sample_features_response.DspSampleFeaturesResponse
dsp_sample_trained_features
Sample of trained features
Get a sample of trained features, this extracts a number of samples and their labels. Used to visualize the current training set.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
feature_ax1: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Feature axis 1', extra={})]
feature_ax2: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Feature axis 2', extra={})]
feature_ax3: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Feature axis 3', extra={})]
category: Annotated[pydantic.types.StrictStr, FieldInfo(default=Ellipsis, description='Which of the three acquisition categories to download data from', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_trained_features_response.DspTrainedFeaturesResponse
get_autotuner_results
Get results from DSP autotuner
Get a set of parameters, found as a result of running the DSP autotuner.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_autotuner_results.DspAutotunerResults
get_dsp_config
Get config
Retrieve the configuration parameters for the DSP block. Use the impulse functions to retrieve all DSP blocks.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_config_response.DSPConfigResponse
get_dsp_feature_importance
Feature importance
Retrieve the feature importance for a DSP block (only available for blocks where dimensionalityReduction is not enabled)
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_feature_importance_response.DspFeatureImportanceResponse
get_dsp_feature_labels
Feature labels
Retrieve the names of the features the DSP block generates
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_feature_labels_response.DspFeatureLabelsResponse
get_dsp_metadata
Get metadata
Retrieve the metadata from a generated DSP block.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
exclude_included_samples: Annotated[Optional[pydantic.types.StrictBool], FieldInfo(default=PydanticUndefined, description="Whether to exclude 'includedSamples' in the response (as these can slow down requests significantly).", extra={})] = None
**kwargs
Return
edgeimpulse_api.models.dsp_metadata_response.DSPMetadataResponse
get_dsp_raw_sample
Get raw sample
Get raw sample data, but with only the axes selected by the DSP block. E.g. if you have selected only accX and accY as inputs for the DSP block, but the raw sample also contains accZ, accZ is filtered out. If you pass dspId = 0 this will return a raw graph without any processing.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
sample_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Sample ID', extra={})]
limit_payload_values: Annotated[Optional[pydantic.types.StrictInt], FieldInfo(default=PydanticUndefined, description='Limit the number of payload values in the response', extra={})] = None
**kwargs
Return
edgeimpulse_api.models.get_sample_response.GetSampleResponse
get_dsp_sample_slice
Get raw sample (slice)
Get slice of raw sample data, but with only the axes selected by the DSP block. E.g. if you have selected only accX and accY as inputs for the DSP block, but the raw sample also contains accZ, accZ is filtered out.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
sample_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Sample ID', extra={})]
slice_start: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Begin index of the slice', extra={})]
slice_end: Annotated[Optional[pydantic.types.StrictInt], FieldInfo(default=PydanticUndefined, description='End index of the slice. If not given, the sample will be sliced to the same length as the impulse input block window length.', extra={})] = None
**kwargs
Return
edgeimpulse_api.models.get_sample_response.GetSampleResponse
get_performance_all_variants
Get DSP block performance for all latency devices
Get estimated performance (latency and RAM) for the DSP block, for all supported project latency devices.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
**kwargs
Return
edgeimpulse_api.models.dsp_performance_all_variants_response.DspPerformanceAllVariantsResponse
run_dsp_on_features_array
Get processed sample (from features array)
Takes in a features array and runs it through the DSP block. This data should have the same frequency as set in the input block in your impulse.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
dsp_run_request_with_features: edgeimpulse_api.models.dsp_run_request_with_features.DspRunRequestWithFeatures
**kwargs
Return
edgeimpulse_api.models.dsp_run_response.DspRunResponse
run_dsp_sample_slice
Get processed sample (slice)
Get slice of sample data, and run it through the DSP block. This only the axes selected by the DSP block. E.g. if you have selected only accX and accY as inputs for the DSP block, but the raw sample also contains accZ, accZ is filtered out.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
sample_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Sample ID', extra={})]
slice_start: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Begin index of the slice', extra={})]
dsp_run_request_without_features: edgeimpulse_api.models.dsp_run_request_without_features.DspRunRequestWithoutFeatures
slice_end: Annotated[Optional[pydantic.types.StrictInt], FieldInfo(default=PydanticUndefined, description='End index of the slice. If not given, the sample will be sliced to the same length as the impulse input block window length.', extra={})] = None
**kwargs
Return
edgeimpulse_api.models.dsp_run_response_with_sample.DspRunResponseWithSample
run_dsp_sample_slice_read_only
Get processed sample (slice)
Get slice of sample data, and run it through the DSP block. This only the axes selected by the DSP block. E.g. if you have selected only accX and accY as inputs for the DSP block, but the raw sample also contains accZ, accZ is filtered out.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
sample_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Sample ID', extra={})]
slice_start: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Begin index of the slice', extra={})]
slice_end: Annotated[Optional[pydantic.types.StrictInt], FieldInfo(default=PydanticUndefined, description='End index of the slice. If not given, the sample will be sliced to the same length as the impulse input block window length.', extra={})] = None
**kwargs
Return
edgeimpulse_api.models.dsp_run_response_with_sample.DspRunResponseWithSample
set_dsp_config
Set config
Set configuration parameters for the DSP block. Only values set in the body will be overwritten.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
dsp_config_request: edgeimpulse_api.models.dsp_config_request.DSPConfigRequest
**kwargs
Return
edgeimpulse_api.models.generic_api_response.GenericApiResponse
start_profile_custom_dsp_block
Profile custom DSP block
Returns performance characteristics for a custom DSP block (needs hasTfliteImplementation
). Updates are streamed over the websocket API (or can be retrieved through the /stdout endpoint). Use getProfileTfliteJobResult to get the results when the job is completed.
Parameters
self
project_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='Project ID', extra={})]
dsp_id: Annotated[pydantic.types.StrictInt, FieldInfo(default=Ellipsis, description='DSP Block ID, use the impulse functions to retrieve the ID', extra={})]
dsp_run_request_without_features_read_only: edgeimpulse_api.models.dsp_run_request_without_features_read_only.DspRunRequestWithoutFeaturesReadOnly
**kwargs
Return
edgeimpulse_api.models.start_job_response.StartJobResponse
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