segmentation tutorial fix #1228
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Idan-BenAmi
approved these changes
Sep 24, 2024
| @@ -428,6 +428,8 @@ | |||
| "source": [ | |||
| "from tutorials.mct_model_garden.models_pytorch.yolov8.yolov8 import seg_model_predict\n", | |||
| "from tutorials.mct_model_garden.evaluation_metrics.coco_evaluation import evaluate_yolov8_segmentation\n", | |||
| "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", | |||
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Can you use the following code, to align with other tutorials (see pytorch_yolov8n_for_imx500.ipynb):
Get working device
device = get_working_device()
Idan-BenAmi
approved these changes
Sep 24, 2024
| @@ -536,11 +536,12 @@ def seg_model_predict(model: Any, | |||
| List: List containing tensors of predictions. | |||
| """ | |||
| input_tensor = torch.from_numpy(inputs).unsqueeze(0) # Add batch dimension | |||
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| device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') | |||
There was a problem hiding this comment.
please change to: device = get_working_device()
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Pull Request Description:
tutorial fails when running with google golab gpu. fix supports use of gpu.
Checklist before requesting a review: