You can use this model with the Detect Objects Using Deep Learning tool in the Image Analyst toolbox in ArcGIS Pro. Follow the steps below to use the model for detecting humans in drone images.
Detect humans
To detect humans in drone imagery, complete the following steps:
- Download the Human Detection (Drone Imagery) model and add the imagery layer in ArcGIS Pro.
- Zoom to an area of interest.
- On the Analysis tab, click Tools.
- Click the Toolboxes tab in the Geoprocessing pane, click Image Analyst Tools, expand Deep Learning, and click the Detect Objects Using Deep Learning tool.
- On the Parameters tab, set the parameter values as follows:
- Input Raster—Select the imagery.
- Output Detected Objects—Set the output feature class that will contain the detected objects.
- Model Definition—Select the pretrained or fine-tuned model .dlpk file.
- Model Arguments—Change the values of the arguments if necessary. The recommended threshold value range is between 0.75 and 0.9.
- Non Maximum Suppression—Optionally, check the check box to remove the overlapping features with lower confidence.
If checked, set the following parameters:
- Confidence Score Field
- Class Value Field (optional)
- Maximum Overlap Ratio (optional)
- On the Environments tab, set the values as follows:
- Processing Extent—Select Current Display Extent or any other option from the drop-down menu.
- Cell Size (required)—Set the value as the resolution of the imagery. Keep the default value to use the imagery extent by default.
- Processor Type—Select CPU or GPU.
It is recommended that you select GPU, if available, and set GPU ID to the GPU to be used.
- Click Run.
The output layer is added to the map.