The DetectionCheckpointer is a class from the detectron2.checkpoint package library in Python. It is used in object detection tasks to save and load checkpoints during training and evaluation. This class supports saving and loading of model weights and checkpoints, optimizer state, training scheduler state, and random number generator state.
Here are some code examples:
# Example 1: Saving checkpoint during training checkpointer = DetectionCheckpointer(model) checkpointer.save("model_checkpoint.pth")
# Example 2: Loading a saved checkpoint and resuming training checkpointer = DetectionCheckpointer(model) checkpointer.load("model_checkpoint.pth") trainer.resume_or_load(resume=True)
# Example 3: Loading a saved checkpoint and evaluating the model checkpointer = DetectionCheckpointer(model) checkpointer.load("model_checkpoint.pth") evaluator = COCOEvaluator(dataset_name, cfg, distributed=False, output_dir=output_dir) val_loader = build_detection_test_loader(cfg, dataset_name) inference_on_dataset(trainer.model, val_loader, evaluator)
Overall, the DetectionCheckpointer is a useful tool for saving and loading checkpoints in object detection tasks. It is part of the detectron2.checkpoint package library in Python.
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