Api session items neuralnetworks: Difference between revisions

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api session items [[Neural Network]]s Endpoints.
Api session items [[Neural Network]]s Endpoints.
 
Manipulate items with event: [[Api session event editor neuralnetwork|editorneuralnetwork]].
Manipulate items with event: [[Api session event editor neuralnetwork|editorneuralnetwork]].
==Limit Queries==version=100:  
 
Default Query:
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?f=JSON&token=API_TOKEN</pre>
Example Response:
<pre>[ {
  "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" : 3,
  "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" : 1,
  "warnings" : ""
} ]</pre>
==Limit Queries==
version=100:  
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?version=100&token=API_TOKEN</pre>
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?version=100&token=API_TOKEN</pre>
==Limit Queries==max version:  
==Show Queries==
max version:  
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/version/?token=API_TOKEN</pre>
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/version/?token=API_TOKEN</pre>
size:  
size:  
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/size/?token=API_TOKEN</pre>
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/size/?token=API_TOKEN</pre>
==Limit Queries==HTML:  
==Formats==
HTML:  
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?f=HTML&token=API_TOKEN</pre>
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?f=HTML&token=API_TOKEN</pre>
JSON:  
JSON:  
Line 21: Line 180:
ZIPSMILE:  
ZIPSMILE:  
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?f=ZIPSMILE&token=API_TOKEN</pre>
<pre>https://engine.tygron.com/api/session/items/neuralnetworks/?f=ZIPSMILE&token=API_TOKEN</pre>
{{article end|seealso=*[[Api Content Items]]}}
{{article end|seealso=*[[Api Content Items]]
*[[Api session event editor neuralnetwork]]
}}


[[Category:API]]
[[Category:API]]

Latest revision as of 14:29, 1 April 2026

Api session items Neural Networks Endpoints.

Manipulate 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" : 3,
  "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" : 1,
  "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

See also

Retrieved from "https://support.tygron.com/w/index.php?title=Api_session_items_neuralnetworks&oldid=71171"