Confusion matrix (#1474)
* initial commit * add plotting * matrix to cpu * bug fix * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * seaborn pandas to requirements.txt * seaborn pandas to requirements.txt * update wandb plotting * remove pandas * if plots * if plots * if plots * if plots * if plots * initial commit * add plotting * matrix to cpu * bug fix * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * update plot * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * cleanup * seaborn pandas to requirements.txt * seaborn pandas to requirements.txt * update wandb plotting * remove pandas * if plots * if plots * if plots * if plots * if plots * Cat apriori to autolabels * cleanup
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@@ -396,8 +396,9 @@ def train(hyp, opt, device, tb_writer=None, wandb=None):
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if plots:
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plot_results(save_dir=save_dir) # save as results.png
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if wandb:
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wandb.log({"Results": [wandb.Image(str(save_dir / x), caption=x) for x in
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['results.png', 'precision_recall_curve.png']]})
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files = ['results.png', 'precision_recall_curve.png', 'confusion_matrix.png']
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wandb.log({"Results": [wandb.Image(str(save_dir / f), caption=f) for f in files
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if (save_dir / f).exists()]})
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logger.info('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
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else:
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dist.destroy_process_group()
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