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https://github.com/nerfstudio-project/nerfstudio.git
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evonneng
91ef54963c
* changed config graph structure * removed network udner graphs; added new heirarchy trainer * fixed callback in occupancy graph * lint * changed register callback to setter method
31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
# Logging Features
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We provide integration with multiple logging interfaces to log images and statistics during training.
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All of these loggers are configurable via the config:
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```yaml
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# e.g. configs/graphs_default.yaml
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logging:
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steps_per_log: 10 # how often to log losses/images
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max_buffer_size: 20 # defines how many steps to average over (if reporting averages)
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writer: # definition of all writers you want to use
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TensorboardWriter:
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log_dir: "./" # must specify the output path for all writers
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LocalWriter:
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log_dir: "./"
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stats_to_track:
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[ITER_LOAD_TIME, ITER_TRAIN_TIME, RAYS_PER_SEC, CURR_TEST_PSNR]
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max_log_size: 10
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```
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Currently, we provide support for the following loggers:
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1. [Tensorboard](https://www.tensorflow.org/tensorboard): `TensorBoardWriter`
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2. [Weights and Biases](https://wandb.ai/site): `WandbWriter`
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3. Local writer: `LocalWriter`
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The `LocalWriter` simply outputs to the terminal. However, you can specify additional parameters to customize the logging.
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* 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.
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* 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.
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