A packaging tool for creating models readable by DeepCore based applications and tools.
For more information, please visit: https://digitalglobe.github.io/DeepCore/
Download the x64 Linux binary file here: https://s3.amazonaws.com/deepcore/current/gbdxm
The characteristics of the supported models are described in depth in the Model Reference. At this time, models are supported in three categories:
- Classification: The neural network performs classification on each image that is provided.
- Segmentation: The neural network performs per-pixel classification which may be vectorized into shapes.
- Detection: The output of the neural network immediately interpretable in vector space. For instance, a model may output bounding boxes with confidences.
The particulars of each models what is supported vary by framework as specified in the model reference.