Api session items neuralnetworks

Api session items Neural Networks Endpoints.

Edit items with event: editorneuralnetwork.

Default Query:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=JSON&token=API_TOKEN

Example Response:

[ {
  "attributes" : {
    "BOX_OVERLAP" : [ 1.0 ],
    "INFERENCE_MODE" : [ 1.0 ],
    "MASK_THRESHOLD" : [ 0.9 ],
    "MAX_CELL_SIZE_M" : [ 0.25 ],
    "MAX_GT_INSTANCES" : [ 250.0 ],
    "MIN_CELL_SIZE_M" : [ 0.1 ],
    "PRIORITIZE_LABELS" : [ 0.0 ],
    "SCORE_THRESHOLD" : [ 0.2 ],
    "STRIDE_FRACTION" : [ 0.5 ],
    "VERSION" : [ 2.0241021E7 ]
  },
  "description" : "Test RCNN to detect to detect blue, gray and dark solar\n\t\t\tpanels panels, trained on data from Dutch Neighborhoods. Model is\n\t\t\tstill under heavy development.",
  "id" : 0,
  "legendEntries" : [ {
    "color" : {
      "argb" : 0
    },
    "entryName" : "Background",
    "id" : 0,
    "value" : 0.0
  }, {
    "color" : {
      "argb" : -16711681
    },
    "entryName" : "Blue solor panel",
    "id" : 1,
    "value" : 1.0
  }, {
    "color" : {
      "argb" : -3355444
    },
    "entryName" : "Gray solor panel",
    "id" : 2,
    "value" : 2.0
  }, {
    "color" : {
      "argb" : -13434829
    },
    "entryName" : "Black solar panel",
    "id" : 3,
    "value" : 3.0
  } ],
  "name" : "test_solar_panels",
  "override" : false,
  "producer" : "Tygron",
  "tensors" : [ {
    "dimensions" : [ 1, 3, 600, 600 ],
    "input" : true,
    "name" : "input_A:RGB_normalized",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1, 4 ],
    "input" : false,
    "name" : "boxes",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1 ],
    "input" : false,
    "name" : "labels",
    "normalize" : true,
    "type" : "INT64"
  }, {
    "dimensions" : [ -1 ],
    "input" : false,
    "name" : "scores",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1, 1, -1, -1 ],
    "input" : false,
    "name" : "masks",
    "normalize" : true,
    "type" : "FLOAT"
  } ],
  "uploadDate" : 1734698290534,
  "uploaderName" : "Tygron",
  "version" : 1,
  "warnings" : ""
}, {
  "attributes" : {
    "BOX_OVERLAP" : [ 1.0 ],
    "INFERENCE_MODE" : [ 1.0 ],
    "MASK_THRESHOLD" : [ 0.3 ],
    "MAX_CELL_SIZE_M" : [ 0.5 ],
    "MAX_GT_INSTANCES" : [ 250.0 ],
    "MIN_CELL_SIZE_M" : [ 0.1 ],
    "PRIORITIZE_LABELS" : [ 0.0 ],
    "SCORE_THRESHOLD" : [ 0.2 ],
    "STRIDE_FRACTION" : [ 0.5 ],
    "VERSION" : [ 2.0241111E7 ]
  },
  "description" : "Test RCNN to detect decideous trees, trained on data from\n\t\t\tDutch Neighborhoods. This model is not suitable for dense woods.",
  "id" : 1,
  "legendEntries" : [ {
    "color" : {
      "argb" : 0
    },
    "entryName" : "Background",
    "id" : 0,
    "value" : 0.0
  }, {
    "color" : {
      "argb" : -16711745
    },
    "entryName" : "Decideous tree",
    "id" : 1,
    "value" : 1.0
  } ],
  "name" : "test_deciduous_trees",
  "override" : false,
  "producer" : "Tygron",
  "tensors" : [ {
    "dimensions" : [ 1, 3, 400, 400 ],
    "input" : true,
    "name" : "input_A:RGB_normalized",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1, 4 ],
    "input" : false,
    "name" : "boxes",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1 ],
    "input" : false,
    "name" : "labels",
    "normalize" : true,
    "type" : "INT64"
  }, {
    "dimensions" : [ -1 ],
    "input" : false,
    "name" : "scores",
    "normalize" : true,
    "type" : "FLOAT"
  }, {
    "dimensions" : [ -1, 1, -1, -1 ],
    "input" : false,
    "name" : "masks",
    "normalize" : true,
    "type" : "FLOAT"
  } ],
  "uploadDate" : 1734697444307,
  "uploaderName" : "Tygron",
  "version" : 2,
  "warnings" : ""
} ]

Limit Queries

version=100:

https://engine.tygron.com/api/session/items/neuralnetworks/?version=100&token=API_TOKEN

Show Queries

max version:

https://engine.tygron.com/api/session/items/neuralnetworks/version/?token=API_TOKEN

size:

https://engine.tygron.com/api/session/items/neuralnetworks/size/?token=API_TOKEN

Formats

HTML:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=HTML&token=API_TOKEN

JSON:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=JSON&token=API_TOKEN

CSV:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=CSV&token=API_TOKEN

SSV:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=SSV&token=API_TOKEN

SMILE:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=SMILE&token=API_TOKEN

ZIPJSON:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=ZIPJSON&token=API_TOKEN

ZIPSMILE:

https://engine.tygron.com/api/session/items/neuralnetworks/?f=ZIPSMILE&token=API_TOKEN

Api Model DataType

API Enumeration description of DataType

Name	Description
FLOAT
DOUBLE
INT8
INT16
INT32
INT64
BOOL
STRING
UINT8
FLOAT16
BFLOAT16
UNKNOWN

Api Model DefaultNeuralNetwork

API Model description of DefaultNeuralNetwork

Name	Type	Description
attributes	Map<String,double[]>
description	String
id	int
legendEntries	LegendEntry[]
name	String
override	boolean
producer	String
tensors	Tensor[]
uploadDate	long
uploaderName	String
version	int
warnings	String

Api Model LegendEntry

API Model description of LegendEntry

Name	Type	Description
color	TColor
entryName	String
id	int
value	float

Api Model NeuralNetwork

API Model description of NeuralNetwork

Name	Type	Description
attributes	Map<String,double[]>
description	String
id	int
legendEntries	LegendEntry[]
name	String
producer	String
tensors	Tensor[]
uploadDate	long
uploaderName	String
version	int
warnings	String

Api Model TColor

API Model description of TColor

Name	Type	Description

Api Model Tensor

API Model description of Tensor

Name	Type	Description
dimensions	int[]
input	boolean
name	String
normalize	boolean
type	DataType

See also

• Api Content Items
• Api session event editor neuralnetwork