GenSynth Documentation

Model Builder Packages

Model Builder packages provide scripts to automatically build custom, ready-to-go models based on your custom specifications (e.g., number of classes, input resolution, etc.) The Model Builder packages also include full instructions for how to easily use the custom-built models with GenSynth to create high-performance, highly efficient models for your operational targets. When using the built models, make sure to turn Improve with GenSynth Learn on in GenSynth. Available Model Builder packages include:

Package Name

Description

Applies to:

avod_builder

Provides a script to create an Aggregate View Object Detection (AVOD) model to detect 3D objects.

1.12+

centernet_builder

Provides a script to create a centernet_resnet50 object-detection model according to parameters of image size, number of classes, and number of boxes.

1.13+

dncnn_builder

Provides a script to build custom dncnn models.

1.14+

depthnet_builder

Provides a script to create a depth estimation model called DepthNet.

1.12+

edge_speechnet_residual15_builder

Provides a script to create an untrained EdgeSpeechNet model for classifying speech utterances. You may specify the number of classes.

1.11+

frcnn_resnet50_builder

Provides a script to construct an untrained Faster-R-CNN (ResNet50) object detection network. You may specify the input image size and number of classes.

1.12+

refinenet_builder

Provides a script to construct a RefineNet image semantic segmentation model using a ResNet50 backbone, with untrained front-end weights. You may specify a configuration file for mapping the label-image color palette to pixel classes.

Includes instructions for use with the CamVid dataset.

1.11+

resnet50_builder

Provides a script to create an untrained ResNet50 image classification model for a specified number of classes.

1.11+

ssd_fpn_resnet50_builder

Provides a script to construct an untrained SSD-FPN (ResNet50) object detection network. You may specify the input image size and number of classes.

1.11+

ssdlite_mobilenet_builder

Provides a script to build an SSDLite MobileNet network with custom parameters.

1.14+

yolov3_builder

Provides a script to create a YOLOv3 model to detect 2D objects. You may specify the input image size and number of classes.

1.12+