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ObjectDetectionLogger

ObjectDetectionLogger class

dlf.callbacks.object_detection_logger.ObjectDetectionLogger(
    evaluator, num_visualizations=50, log_train_images=False
)

Tensorboard visualization for object detection tasks

Aliases

  • object_detection_logger
  • ObjectDetectionLogger

Arguments

  • evaluator: dlf.core.evaluator. Evaluator used for the summerie and metrics
  • num_visualizations: int, optional. Number of images to visualize. Defaults to 50.
  • log_train_images: bool. If true training images are visualized as well. Defaults to False.

YAML Configuration

callbacks:
    ObjectDetectionLogger:
        num_visualizations: 200

Example