curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId} \
--header 'x-api-key: <api-key>'{
"success": true,
"project": {
"id": 1,
"name": "Water hammer detection",
"description": "<string>",
"created": "2019-07-21T17:32:28Z",
"owner": "<string>",
"ownerIsDeveloperProfile": true,
"collaborators": [
{
"id": 1,
"username": "janjongboom",
"name": "Jan Jongboom",
"email": "quijote@edgeimpulse.com",
"created": "2019-08-31T17:32:28Z",
"staffInfo": {
"isStaff": true,
"hasSudoRights": true,
"companyName": "<string>"
},
"pending": true,
"activated": true,
"mfaConfigured": true,
"isOwner": true,
"photo": "https://usercdn.edgeimpulse.com/photos/1.jpg",
"lastSeen": "2019-08-31T17:32:28Z",
"jobTitle": "Software Engineer",
"permissions": [
"admin:infra:disallowedEmailDomains:read"
],
"companyName": "Edge Impulse Inc.",
"stripeCustomerId": "<string>",
"hasPendingPayments": true,
"tier": "free",
"idps": [
"<string>"
]
}
],
"labelingMethod": "single_label",
"metadata": {},
"isEnterpriseProject": true,
"whitelabelId": 123,
"tier": "free",
"hasPublicVersion": true,
"isPublic": true,
"allowsLivePublicAccess": true,
"indPauseProcessingSamples": true,
"publicProjectListed": true,
"lastAccessed": "2019-07-21T17:32:28Z",
"lastModified": "2019-07-21T17:32:28Z",
"lastModificationDetails": "Data sample added",
"logo": "<string>",
"ownerUserId": 123,
"ownerOrganizationId": 123,
"ownerAvatar": "<string>",
"developerProfileUserId": 123,
"dataExplorerScreenshot": "<string>",
"whitelabelName": "<string>",
"tags": [
"FOMO",
"beers"
],
"category": "Accelerometer",
"license": "Apache-2.0",
"deletedDate": "2023-11-07T05:31:56Z",
"fullDeletionDate": "2023-11-07T05:31:56Z",
"scheduledFullDeletionDate": "2023-11-07T05:31:56Z"
},
"developmentKeys": {
"apiKey": "<string>",
"hmacKey": "<string>"
},
"impulse": {
"created": true,
"configured": true,
"complete": true
},
"devices": [
{
"id": 1,
"deviceId": "38:f9:d3:d7:62:03",
"created": "2019-07-21T17:32:28Z",
"lastSeen": "2019-08-31T17:32:28Z",
"name": "m6d.1 desk sensor",
"deviceType": "DISCO-L475VG",
"sensors": [
{
"name": "Built-in accelerometer",
"maxSampleLengthS": 123,
"frequencies": [
62.5,
100
]
}
],
"remote_mgmt_connected": true,
"supportsSnapshotStreaming": true,
"remoteMgmtMode": "disconnected",
"remote_mgmt_host": "<string>",
"inferenceInfo": {
"projectId": 123,
"projectOwner": "<string>",
"projectName": "<string>",
"deployedVersion": 123,
"modelType": "classification"
}
}
],
"dataSummary": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"dataSummaryPerCategory": {
"training": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"testing": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"postProcessing": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
}
},
"computeTime": {
"periodStartDate": "2023-11-07T05:31:56Z",
"periodEndDate": "2023-11-07T05:31:56Z",
"timeUsedMs": 123,
"timeLeftMs": 123
},
"acquisitionSettings": {
"intervalMs": 123,
"lengthMs": 123,
"segmentShift": true,
"defaultPageSize": 123,
"viewType": "list",
"gridColumnCount": 123,
"gridColumnCountDetailed": 123,
"showExactSampleLength": true,
"inlineEditBoundingBoxes": true,
"sensor": "<string>",
"label": "<string>",
"segmentLength": 123
},
"collaborators": [
{
"id": 1,
"username": "janjongboom",
"name": "Jan Jongboom",
"email": "quijote@edgeimpulse.com",
"created": "2019-08-31T17:32:28Z",
"staffInfo": {
"isStaff": true,
"hasSudoRights": true,
"companyName": "<string>"
},
"pending": true,
"activated": true,
"mfaConfigured": true,
"photo": "https://usercdn.edgeimpulse.com/photos/1.jpg",
"lastSeen": "2019-08-31T17:32:28Z",
"jobTitle": "Software Engineer",
"permissions": [
"admin:infra:disallowedEmailDomains:read"
],
"companyName": "Edge Impulse Inc.",
"stripeCustomerId": "<string>",
"hasPendingPayments": true,
"tier": "free",
"idps": [
"<string>"
]
}
],
"deploySettings": {
"eonCompiler": true,
"sensor": "accelerometer",
"arduinoLibraryName": "<string>",
"tinkergenLibraryName": "<string>",
"particleLibraryName": "<string>",
"lastDeployModelEngine": "tflite-eon"
},
"experiments": [
{
"type": "<string>",
"title": "<string>",
"enabled": true,
"showToUser": true,
"help": "<string>"
}
],
"latencyDevices": [
{
"mcu": "<string>",
"name": "<string>",
"selected": true,
"int8Latency": 123,
"int8ConvLatency": 123,
"float32Latency": 123,
"float32ConvLatency": 123,
"helpText": "<string>"
}
],
"urls": {
"mobileClient": "<string>",
"mobileClientComputer": "<string>",
"mobileClientInference": "<string>"
},
"showCreateFirstImpulse": true,
"showGettingStartedWizard": {
"showWizard": true,
"step": 123,
"tutorial": "kws",
"classes": [
"<string>"
]
},
"performance": {
"gpu": true,
"jobLimitM": 123,
"dspFileSizeMb": 123,
"enterprisePerformance": true,
"trainJobRamMb": 123
},
"trainJobNotificationUids": [
123
],
"dspJobNotificationUids": [
123
],
"modelTestingJobNotificationUids": [
123
],
"exportJobNotificationUids": [
123
],
"hasNewTrainingData": true,
"studioUrl": "<string>",
"inPretrainedModelFlow": true,
"showSensorDataInAcquisitionGraph": true,
"notifications": [
"<string>"
],
"error": "<string>",
"readme": {
"markdown": "<string>",
"html": "<string>"
},
"csvImportConfig": {},
"dspPageSize": 123,
"targetConstraints": {
"targetDevices": [
{
"processors": [
{
"part": "<string>",
"format": "low-end MCU",
"architecture": "Cortex-M",
"specificArchitecture": "Cortex-M0+",
"accelerator": "Arm Cortex-U55",
"fpu": true,
"clockRateMhz": {
"minimum": 123,
"maximum": 123
},
"memory": {
"ram": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
},
"rom": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
}
}
}
],
"board": "<string>",
"name": "<string>",
"latencyDevice": "cortex-m4f-80mhz"
}
],
"applicationBudgets": [
{
"latencyPerInferenceMs": {
"minimum": 123,
"maximum": 123
},
"energyPerInferenceJoules": {
"minimum": 123,
"maximum": 123
},
"memoryOverhead": {
"ram": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
},
"rom": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
}
}
}
],
"selectedTargetBasedOn": "user-configured"
},
"defaultImpulseId": 123,
"lastShownModelEngine": "tflite-eon",
"versioningStorageSizeMib": 123
}List all information about this project.
curl --request GET \
--url https://studio.edgeimpulse.com/v1/api/{projectId} \
--header 'x-api-key: <api-key>'{
"success": true,
"project": {
"id": 1,
"name": "Water hammer detection",
"description": "<string>",
"created": "2019-07-21T17:32:28Z",
"owner": "<string>",
"ownerIsDeveloperProfile": true,
"collaborators": [
{
"id": 1,
"username": "janjongboom",
"name": "Jan Jongboom",
"email": "quijote@edgeimpulse.com",
"created": "2019-08-31T17:32:28Z",
"staffInfo": {
"isStaff": true,
"hasSudoRights": true,
"companyName": "<string>"
},
"pending": true,
"activated": true,
"mfaConfigured": true,
"isOwner": true,
"photo": "https://usercdn.edgeimpulse.com/photos/1.jpg",
"lastSeen": "2019-08-31T17:32:28Z",
"jobTitle": "Software Engineer",
"permissions": [
"admin:infra:disallowedEmailDomains:read"
],
"companyName": "Edge Impulse Inc.",
"stripeCustomerId": "<string>",
"hasPendingPayments": true,
"tier": "free",
"idps": [
"<string>"
]
}
],
"labelingMethod": "single_label",
"metadata": {},
"isEnterpriseProject": true,
"whitelabelId": 123,
"tier": "free",
"hasPublicVersion": true,
"isPublic": true,
"allowsLivePublicAccess": true,
"indPauseProcessingSamples": true,
"publicProjectListed": true,
"lastAccessed": "2019-07-21T17:32:28Z",
"lastModified": "2019-07-21T17:32:28Z",
"lastModificationDetails": "Data sample added",
"logo": "<string>",
"ownerUserId": 123,
"ownerOrganizationId": 123,
"ownerAvatar": "<string>",
"developerProfileUserId": 123,
"dataExplorerScreenshot": "<string>",
"whitelabelName": "<string>",
"tags": [
"FOMO",
"beers"
],
"category": "Accelerometer",
"license": "Apache-2.0",
"deletedDate": "2023-11-07T05:31:56Z",
"fullDeletionDate": "2023-11-07T05:31:56Z",
"scheduledFullDeletionDate": "2023-11-07T05:31:56Z"
},
"developmentKeys": {
"apiKey": "<string>",
"hmacKey": "<string>"
},
"impulse": {
"created": true,
"configured": true,
"complete": true
},
"devices": [
{
"id": 1,
"deviceId": "38:f9:d3:d7:62:03",
"created": "2019-07-21T17:32:28Z",
"lastSeen": "2019-08-31T17:32:28Z",
"name": "m6d.1 desk sensor",
"deviceType": "DISCO-L475VG",
"sensors": [
{
"name": "Built-in accelerometer",
"maxSampleLengthS": 123,
"frequencies": [
62.5,
100
]
}
],
"remote_mgmt_connected": true,
"supportsSnapshotStreaming": true,
"remoteMgmtMode": "disconnected",
"remote_mgmt_host": "<string>",
"inferenceInfo": {
"projectId": 123,
"projectOwner": "<string>",
"projectName": "<string>",
"deployedVersion": 123,
"modelType": "classification"
}
}
],
"dataSummary": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"dataSummaryPerCategory": {
"training": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"testing": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
},
"postProcessing": {
"totalLengthMs": "726336",
"labels": [
"<string>"
],
"dataCount": "Number of files in the training set"
}
},
"computeTime": {
"periodStartDate": "2023-11-07T05:31:56Z",
"periodEndDate": "2023-11-07T05:31:56Z",
"timeUsedMs": 123,
"timeLeftMs": 123
},
"acquisitionSettings": {
"intervalMs": 123,
"lengthMs": 123,
"segmentShift": true,
"defaultPageSize": 123,
"viewType": "list",
"gridColumnCount": 123,
"gridColumnCountDetailed": 123,
"showExactSampleLength": true,
"inlineEditBoundingBoxes": true,
"sensor": "<string>",
"label": "<string>",
"segmentLength": 123
},
"collaborators": [
{
"id": 1,
"username": "janjongboom",
"name": "Jan Jongboom",
"email": "quijote@edgeimpulse.com",
"created": "2019-08-31T17:32:28Z",
"staffInfo": {
"isStaff": true,
"hasSudoRights": true,
"companyName": "<string>"
},
"pending": true,
"activated": true,
"mfaConfigured": true,
"photo": "https://usercdn.edgeimpulse.com/photos/1.jpg",
"lastSeen": "2019-08-31T17:32:28Z",
"jobTitle": "Software Engineer",
"permissions": [
"admin:infra:disallowedEmailDomains:read"
],
"companyName": "Edge Impulse Inc.",
"stripeCustomerId": "<string>",
"hasPendingPayments": true,
"tier": "free",
"idps": [
"<string>"
]
}
],
"deploySettings": {
"eonCompiler": true,
"sensor": "accelerometer",
"arduinoLibraryName": "<string>",
"tinkergenLibraryName": "<string>",
"particleLibraryName": "<string>",
"lastDeployModelEngine": "tflite-eon"
},
"experiments": [
{
"type": "<string>",
"title": "<string>",
"enabled": true,
"showToUser": true,
"help": "<string>"
}
],
"latencyDevices": [
{
"mcu": "<string>",
"name": "<string>",
"selected": true,
"int8Latency": 123,
"int8ConvLatency": 123,
"float32Latency": 123,
"float32ConvLatency": 123,
"helpText": "<string>"
}
],
"urls": {
"mobileClient": "<string>",
"mobileClientComputer": "<string>",
"mobileClientInference": "<string>"
},
"showCreateFirstImpulse": true,
"showGettingStartedWizard": {
"showWizard": true,
"step": 123,
"tutorial": "kws",
"classes": [
"<string>"
]
},
"performance": {
"gpu": true,
"jobLimitM": 123,
"dspFileSizeMb": 123,
"enterprisePerformance": true,
"trainJobRamMb": 123
},
"trainJobNotificationUids": [
123
],
"dspJobNotificationUids": [
123
],
"modelTestingJobNotificationUids": [
123
],
"exportJobNotificationUids": [
123
],
"hasNewTrainingData": true,
"studioUrl": "<string>",
"inPretrainedModelFlow": true,
"showSensorDataInAcquisitionGraph": true,
"notifications": [
"<string>"
],
"error": "<string>",
"readme": {
"markdown": "<string>",
"html": "<string>"
},
"csvImportConfig": {},
"dspPageSize": 123,
"targetConstraints": {
"targetDevices": [
{
"processors": [
{
"part": "<string>",
"format": "low-end MCU",
"architecture": "Cortex-M",
"specificArchitecture": "Cortex-M0+",
"accelerator": "Arm Cortex-U55",
"fpu": true,
"clockRateMhz": {
"minimum": 123,
"maximum": 123
},
"memory": {
"ram": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
},
"rom": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
}
}
}
],
"board": "<string>",
"name": "<string>",
"latencyDevice": "cortex-m4f-80mhz"
}
],
"applicationBudgets": [
{
"latencyPerInferenceMs": {
"minimum": 123,
"maximum": 123
},
"energyPerInferenceJoules": {
"minimum": 123,
"maximum": 123
},
"memoryOverhead": {
"ram": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
},
"rom": {
"fastBytes": {
"minimum": 123,
"maximum": 123
},
"slowBytes": {
"minimum": 123,
"maximum": 123
}
}
}
}
],
"selectedTargetBasedOn": "user-configured"
},
"defaultImpulseId": 123,
"lastShownModelEngine": "tflite-eon",
"versioningStorageSizeMib": 123
}Project ID
Impulse ID. If this is unset then the default impulse is used.
OK
Whether the operation succeeded
Show child attributes
1
"Water hammer detection"
"2019-07-21T17:32:28Z"
User or organization that owns the project
Show child attributes
1
"janjongboom"
"Jan Jongboom"
"quijote@edgeimpulse.com"
"2019-08-31T17:32:28Z"
Whether the user has activated their account or not.
Whether the user has configured multi-factor authentication
"https://usercdn.edgeimpulse.com/photos/1.jpg"
"2019-08-31T17:32:28Z"
"Software Engineer"
List of permissions the user has
admin:infra:disallowedEmailDomains:read, admin:infra:disallowedEmailDomains:write, admin:infra:featureFlags:read, admin:infra:featureFlags:write, admin:infra:config:read, admin:infra:config:write, admin:infra:migrations:read, admin:infra:migrations:write, admin:metrics:read, admin:metrics:write, admin:oauth:read, admin:oauth:write, admin:organizations:read, admin:organizations:write, admin:organizations:members:write, admin:projects:members:write, admin:projects:read, admin:projects:write, admin:trashbin:write, admin:trials:read, admin:trials:write, admin:users:permissions:write, admin:users:read, admin:users:write, admin:jobs:read, admin:emails:verification:code:read, admin:sso:read, admin:sso:domainIdps:write, projects:limits:write, projects:training:keras:write, projects:data:versioning:write, thirdpartyauth:read, thirdpartyauth:write, users:emails:read, whitelabels:read, whitelabels:write, test:data:write "Edge Impulse Inc."
Stripe customer ID, if any.
Whether the user has pending payments.
The user account tier.
free, community-plus, professional, enterprise List of identity providers (e.g. Google, GitHub) that the user has used to sign in with
single_label, object_detection Metadata about the project
Whether this is an enterprise project
Unique identifier of the white label this project belongs to, if any.
The project tier. This is "enterprise" for all organization projects, or the user tier for all user projects.
free, community-plus, professional, enterprise Whether this project has been published or not.
Whether this is a public version of a project. A version is a snapshot of a project at a certain point in time, which can be used to periodically save the state of a project. Versions can be private (just for internal use and reference) or public, available to everyone. A public version can be cloned by anyone, restoring the state of the project at the time into a new, separate project.
Whether this project allows live, public access. Unlike a public version, a live public project is not fixed in time, and always includes the latest project changes. Similar to public versions, a live public project can be cloned by anyone, creating a new, separate project.
If the project allows public access, whether to list it the public projects overview response. If not listed, the project is still accessible via direct link. If the project does not allow public access, this field has no effect.
"2019-07-21T17:32:28Z"
"2019-07-21T17:32:28Z"
Details about the last modification
"Data sample added"
Custom logo for this project (not available for all projects)
URL of the project owner avatar, if any.
User ID of the developer profile, if any.
Name of the white label this project belongs to, if any.
List of project tags
["FOMO", "beers"]Project category
Accelerometer, Audio, Images, Keyword spotting, Object detection, Other Public project license, if any.
Apache-2.0, BSD-3-Clause, BSD-3-Clause-Clear Show child attributes
1
Unique identifier (such as MAC address) for a device
"38:f9:d3:d7:62:03"
"2019-07-21T17:32:28Z"
Last message that was received from the device (ignoring keep-alive)
"2019-08-31T17:32:28Z"
"m6d.1 desk sensor"
"DISCO-L475VG"
Whether the device is connected to the remote management interface. This property is deprecated, use remoteMgmtMode instead.
Replaces remote_mgmt_connected. Shows whether the device is connected to the remote management interface, and in which mode.
disconnected, ingestion, inference The remote management host that the device is connected to
If remoteMgmtMode is set to inference this object shows information about the model that's ran on device.
Show child attributes
classification, objectDetection, constrainedObjectDetection Show child attributes
Show child attributes
Total length (in ms.) of all data in the training set
"726336"
Labels in the training set
"Number of files in the training set"
Show child attributes
Total length (in ms.) of all data in the training set
"726336"
Labels in the training set
"Number of files in the training set"
Show child attributes
Total length (in ms.) of all data in the training set
"726336"
Labels in the training set
"Number of files in the training set"
Show child attributes
Start of the current time period.
End of the current time period. This is the date when the compute time resets again.
The amount of compute used for the current time period.
The amount of compute left for the current time period.
Show child attributes
Interval during the last acquisition, or the recommended interval based on the data set.
Length of the last acquisition, or a recommended interval based on the data set.
Whether to auto-shift segments
Default page size on data acquisition
Default view type on data acquisition
list, grid Number of grid columns in non-detailed view
Number of grid columns in detailed view
If enabled, does not round sample length to hours/minutes/seconds, but always displays sample length in milliseconds. E.g. instead of 1m 32s, this'll say 92,142ms.
If enabled, allows editing bounding box labels directly from the acquisition UI.
Sensor that was used during the last acquisition.
Label that was used during the last acquisition.
Length of the last sample segment after segmenting a larger sample.
Show child attributes
1
"janjongboom"
"Jan Jongboom"
"quijote@edgeimpulse.com"
"2019-08-31T17:32:28Z"
Whether the user has activated their account or not.
Whether the user has configured multi-factor authentication
"https://usercdn.edgeimpulse.com/photos/1.jpg"
"2019-08-31T17:32:28Z"
"Software Engineer"
List of permissions the user has
admin:infra:disallowedEmailDomains:read, admin:infra:disallowedEmailDomains:write, admin:infra:featureFlags:read, admin:infra:featureFlags:write, admin:infra:config:read, admin:infra:config:write, admin:infra:migrations:read, admin:infra:migrations:write, admin:metrics:read, admin:metrics:write, admin:oauth:read, admin:oauth:write, admin:organizations:read, admin:organizations:write, admin:organizations:members:write, admin:projects:members:write, admin:projects:read, admin:projects:write, admin:trashbin:write, admin:trials:read, admin:trials:write, admin:users:permissions:write, admin:users:read, admin:users:write, admin:jobs:read, admin:emails:verification:code:read, admin:sso:read, admin:sso:domainIdps:write, projects:limits:write, projects:training:keras:write, projects:data:versioning:write, thirdpartyauth:read, thirdpartyauth:write, users:emails:read, whitelabels:read, whitelabels:write, test:data:write "Edge Impulse Inc."
Stripe customer ID, if any.
Whether the user has pending payments.
The user account tier.
free, community-plus, professional, enterprise List of identity providers (e.g. Google, GitHub) that the user has used to sign in with
Show child attributes
accelerometer, microphone, camera, positional, environmental, fusion, unknown Model engine for last deploy
tflite-eon, tflite-eon-ram-optimized, tflite Show child attributes
Show child attributes
Base URL for the mobile client. If this is undefined then no development API key is set.
Base URL for collecting data with the mobile client from a computer. If this is undefined then no development API key is set.
Base URL for running inference with the mobile client. If this is undefined then no development API key is set.
Show child attributes
Current step of the getting started wizard
The type of in-product guided tutorial used in the getting started wizard
kws, cv Classes or labels used in the getting started wizard
2Show child attributes
Compute time limit per job in minutes (applies only to DSP and learning jobs).
Maximum size for DSP file output
Amount of RAM allocated to training jobs
The IDs of users who should be notified when a Keras or retrain job is finished.
The IDs of users who should be notified when a DSP job is finished.
The IDs of users who should be notified when a model testing job is finished.
The IDs of users who should be notified when an export job is finished.
Whether to show the actual sensor data in acquisition charts (only applies when you have structured labels)
List of notifications to show within the project
Optional error description (set if 'success' was false)
Config file specifying how to process CSV files.
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The potential targets for the project, where each entry captures hardware attributes that allow target guidance throughout the Studio workflow. The first target in the list is considered as the selected target for the project.
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Target processors
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The exact part number, if available
Processor type, serving as a broad descriptor for the intended use-case
"low-end MCU"
Processor family, informing about the processor's instruction set and core design
"Cortex-M"
Processor architecture, informing about the specific processor, if known
"Cortex-M0+"
Target accelerator, if any
"Arm Cortex-U55"
Does the target processor have a floating point unit
RAM and ROM specifications of target
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Describes performance characteristics of a particular memory type
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Describes performance characteristics of a particular memory type
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The exact dev board part number, if available
Display name in Studio
MCU identifier, if available
"cortex-m4f-80mhz"
A list of application budgets to be configured based on target device. An application budget enables guidance on performance and resource usage. The first application budget in the list is considered as the selected budget for the project.
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RAM and ROM specifications of target
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Describes performance characteristics of a particular memory type
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Describes performance characteristics of a particular memory type
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A type explaining how the target was chosen. If updating this manually, use the 'user-configured' type
user-configured, default, default-accepted, recent-project, connected-device Default selected impulse (by ID).
Last shown model engine on the Keras/DSP/BYOM/Anomaly screens. Used to keep the same view after refreshing.
tflite-eon, tflite-eon-ram-optimized, tflite Was this page helpful?