Object Extraction
Instructions for use
Object extraction is based on a neural network model that preselects areas of interest within an image, then classifies the pixels within these areas to obtain boundary information of the objects. This supports object-level spatial analysis.
Parameter Description
| Parameter name | Default | Parameter description | Parameter Type |
|---|---|---|---|
| File Type | Dataset | Specify File Type. Select Dataset or Folder Type. | Boolean |
| Model File | Specify Model File (*.sdm) for Object Extraction | String | |
| Probability Threshold | 0.5 | The system will calculate the probability of meeting the target characteristics for each detected object, and then Detection resultOnly saving objects with a score above this value. The default value is 0.5. | Double |
| Deduplicate Threshold | 0.3 | Specifies the threshold for Remove Duplicate Objects. | Double |
| Amount of single step operation | 1 | Specifies the number of pictures to process at one time when reasoning | Integer |
| Processor type | GPU | Specifies the processor type | String |
| GPU number | 0 | Input the GPU number to support multi-card reasoning, that is, input multiple GPU numbers. If "0, 1, 2" is entered, it will automatically become "012" | String |
| Other Parameter Settings (Optional) |
false | Check this box to set the Bounds Dataset/Datasource parameter. | Boolean |
| Result Datasource | Datasource where the specified Dataset storing the result resides | Datasource | |
| Result Dataset | objextract_result | The specified Resulting dataset name. | String |
Output Result
| Parameter name | Parameter description | Parameter Type |
|---|---|---|
| Result Dataset | Result Dataset | DatasetVector |