Add plot_results save location to log_dir

train.py

@@ -356,7 +356,7 @@ def train(hyp):
                 os.system('gsutil cp %s gs://%s/weights' % (f2, opt.bucket)) if opt.bucket and ispt else None  # upload
 
     if not opt.evolve:
-        plot_results()  # save as results.png
+        plot_results(save_dir = log_dir)  # save as results.png
     print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
     dist.destroy_process_group() if torch.cuda.device_count() > 1 else None
     torch.cuda.empty_cache()