nerfstudio/docs/tooling/logging.md

Logging Features

We provide integration with multiple logging interfaces to log images and statistics during training. All of these loggers are configurable via the config:

# e.g. configs/graphs_default.yaml

logging:
    steps_per_log: 10       # how often to log losses/images
    max_buffer_size: 20     # defines how many steps to average over (if reporting averages)
    writer:                 # definition of all writers you want to use
        TensorboardWriter:  
            save_dir: "./"  # must specify the output path for all writers
        LocalWriter:
            save_dir: "./"
            stats_to_track:
                [ITER_LOAD_TIME, ITER_TRAIN_TIME, RAYS_PER_SEC, CURR_TEST_PSNR]
            max_log_size: 10 

Currently, we provide support for the following loggers:

1. Tensorboard: TensorBoardWriter
2. Weights and Biases: WandbWriter
3. Local writer: LocalWriter

The LocalWriter simply outputs to the terminal. However, you can specify additional parameters to customize the logging.

• stats_to_track: all the stats that you want to print to the terminal (see list under EventName in utils/writer.py). You can add or remove any of the defined enums.
• max_log_size: how much content to print onto the screen (e.g. only print 10 lines on the screen at a time). If 0, will print everything without deleting any previous lines.