open3d.ml.tf.pipelines.ObjectDetection

class open3d.ml.tf.pipelines.ObjectDetection(model, dataset=None, name='ObjectDetection', main_log_dir='./logs/', device='cuda', split='train', **kwargs)

Pipeline for object detection.

__init__(model, dataset=None, name='ObjectDetection', main_log_dir='./logs/', device='cuda', split='train', **kwargs)

Initialize

Parameters

• model – network

• dataset – dataset, or None for inference model

• devce – ‘gpu’ or ‘cpu’

• kwargs –

Returns

The corresponding class.

Return type

class

load_ckpt(ckpt_path=None, is_resume=True)

run_inference(data)

Run inference on a given data.

Parameters

data – A raw data.

Returns

Returns the inference results.

run_test()

Run test with test data split, computes mean average precision of the prediction results.

run_train()

Run training on train sets

run_valid()

save_ckpt(epoch)

save_config(writer)

save_logs(writer, epoch)