* Add project code * Logger improvements * Improvements to web demo code * added create_wlasl_landmarks_dataset.py and xtract_mediapipe_landmarks.py * Fix rotation augmentation * fixed error in docstring, and removed unnecessary replace -1 -> 0 * Readme updates * Share base notebooks * Add notebooks and unify for different datasets * requirements update * fixes * Make evaluate more deterministic * Allow training with clearml * refactor preprocessing and apply linter * Minor fixes * Minor notebook tweaks * Readme updates * Fix PR comments * Remove unneeded code * Add banner to Readme --------- Co-authored-by: Gabriel Lema <gabriel.lema@xmartlabs.com>
22 lines
793 B
Python
22 lines
793 B
Python
from clearml import Task, Logger
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from .tracker import Tracker
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class ClearMLTracker(Tracker):
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def __init__(self, project_name=None, experiment_name=None):
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self.task = Task.current_task() or Task.init(project_name=project_name, task_name=experiment_name)
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def execute_remotely(self, queue_name):
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self.task.execute_remotely(queue_name=queue_name)
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def log_scalar_metric(self, metric, series, iteration, value):
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Logger.current_logger().report_scalar(metric, series, iteration=iteration, value=value)
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def log_chart(self, title, series, iteration, figure):
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Logger.current_logger().report_plotly(title=title, series=series, iteration=iteration, figure=figure)
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def finish_run(self):
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self.task.mark_completed()
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self.task.close()
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