UniqAI/gaussian-splatting
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Ammar Qammaz 2023-11-03 10:29:50 +02:00
parent de5bce3b2e
commit f5b136264b
1 changed files with 1 additions and 1 deletions
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train.py
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@ -111,7 +111,7 @@ def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoi
if (bestLossEncountered>ema_loss_for_log) and (goodLossThreshold > ema_loss_for_log): if (bestLossEncountered>ema_loss_for_log) and (goodLossThreshold > ema_loss_for_log):
if (bestIterationEncountered!=0): if (bestIterationEncountered!=0):
print("\n[GOOD ITER {}] Erasing previous best iteration..".format(bestIterationEncountered)) print("\n[GOOD ITER {}] Erasing previous best iteration..".format(bestIterationEncountered))
os.system("rm point_cloud/iteration_%u/*.ply && rmdir point_cloud/iteration_%u/"%(bestIterationEncountered,bestIterationEncountered)) os.system("rm %s/point_cloud/iteration_%u/*.ply && rmdir %s/point_cloud/iteration_%u/"%(scene.model_path,bestIterationEncountered,scene.model_path,bestIterationEncountered))
bestLossEncountered = ema_loss_for_log bestLossEncountered = ema_loss_for_log
bestIterationEncountered = iteration bestIterationEncountered = iteration
print("\n[GOOD ITER {}] Now remembering this iteration..".format(iteration)) print("\n[GOOD ITER {}] Now remembering this iteration..".format(iteration))