c1e909c98c9429fc5745f3e72d1b87cfdca1a707,DeepPATH_code/02_testing/xClasses/nc_imagenet_eval.py,,main,#Any#,37

Before Change

        mydict[next_slide]["Read_Class"] = labelname
        print(FLAGS.num_examples)
        count_slides += 1.0
      except:
      	print("%s FAILED to be processed properly" %next_slide)
    output = open(os.path.join(FLAGS.eval_dir, "out_All_Stats.txt"), "ab+")
    pickle.dump(mydict, output)

After Change

      if False:
      //except Exception as e:
        print("%s FAILED to be processed properly" %next_slide)
        print("Unexpected error:", sys.exc_info()[0])
        exc_type, exc_obj, exc_tb = sys.exc_info()
        fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        print(exc_type, fname, exc_tb.tb_lineno)

Instances