Training and inference code for cutouts #145
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samaloney
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Oct 14, 2024
| gpu_index = 0 | ||
| device = "cuda:" + str(gpu_index) | ||
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| data_folder = os.getenv("ARCAFF_DATA_FOLDER", "../../../../data") |
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Get from config module or will that not work?
| predicted_class = np.argmax(result) | ||
| probabilities = torch.softmax(torch.tensor(result), dim=1).numpy() | ||
| df_prob = pd.DataFrame(probabilities, columns=[ut_t.index_to_label[idx] for idx in range(num_classes)]) | ||
| print("\nPredictions:") |
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generally try to avoid print statements in favour of logging
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