Turi Create
4.0
|
#include <toolkits/object_detection/od_model_trainer.hpp>
Public Attributes | |
neural_net::shared_float_array | images |
std::vector< std::vector< neural_net::image_annotation > > | annotations |
std::vector< std::pair< size_t, size_t > > | image_sizes |
Represents one batch of model-agnostic data, post-augmentation/resizing.
Definition at line 38 of file od_model_trainer.hpp.
std::vector<std::vector<neural_net::image_annotation> > turi::object_detection::InputBatch::annotations |
The raw annotations from the DataBatch.
Definition at line 46 of file od_model_trainer.hpp.
std::vector<std::pair<size_t, size_t> > turi::object_detection::InputBatch::image_sizes |
The original height and width of each image, used to scale bounding-box predictions.
Definition at line 52 of file od_model_trainer.hpp.
neural_net::shared_float_array turi::object_detection::InputBatch::images |
The (RGB) images from a DataBatch encoded as NHWC.
Definition at line 43 of file od_model_trainer.hpp.