A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Multiple GPU support with pytorch backend #817
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alexpavlidespyrra opened 1 year ago
It seems you have implemented multiple gpus for tensorflow backend:
from imageai.Detection.Custom import DetectionModelTrainer trainer = DetectionModelTrainer() trainer.setModelTypeAsYOLOv3() trainer.setDataDirectory(data_directory="/content/gdrive/MyDrive/ai-training/test") trainer.setGpuUsage(1) trainer.setTrainConfig(object_names_array=["Item 1", "Sample 2"], batch_size=4, num_experiments=200) trainer.trainModel()
However, this has not yet been implemented for the pytorch backend. Is this something you intend to add in future?
Thank you!