Function mindspore::dataset::KITTI

• Defined in File datasets.h

Function Documentation

inline std::shared_ptr<KITTIDataset> mindspore::dataset::KITTI(const std::string &dataset_dir, const std::string &usage = "train", bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(), const std::shared_ptr<DatasetCache> &cache = nullptr)

Function to create a KITTIDataset.

Note

When usage is ‘train’, the generated dataset has multi-columns, ‘image’, ‘label’, ‘truncated’, ‘occluded’, ‘alpha’, ‘bbox’, ‘dimensions’, ‘location’, ‘rotation_y’; When usage is ‘test’, the generated dataset has one column ‘image’.

Parameters

• dataset_dir – [in] Path to the root directory that contains the dataset.

• usage – [in] The type of data file to read (default = “train”).

• decode – [in] Decode the images after reading (default = false).

• sampler – [in] Sampler object used to choose samples from the dataset. If sampler is not given, a RandomSampler will be used to randomly iterate the entire dataset (default = RandomSampler()).

• cache – [in] Tensor cache to use (default=nullptr, which means no cache is used).

Returns

Shared pointer to the current Dataset.

Example

/* Define dataset path and MindData object */
std::string folder_path = "/path/to/kitti_dataset_directory";
std::shared_ptr<Dataset> ds = KITTI(folder_path);

/* Create iterator to read dataset */
std::shared_ptr<Iterator> iter = ds->CreateIterator();
std::unordered_map<std::string, mindspore::MSTensor> row;
iter->GetNextRow(&row);

/* Note: In KITTI dataset, each dictionary has key "image" */
auto image = row["image"];