实验数据

2020-11-19  本文已影响0人  听闻不见

deepfusepspnet50

mIoU mAcc allAcc
0.549 0.6894 0.9075

deepfusepspnet50 (1) (2020-11-19 15:04:27,764)

mIoU mAcc allAcc
0.5424 0.6758 0.9076
Class Iou Accuracy
terrain 0.5509 0.8800
sky 0.9029 0.9386
tree 0.8632 0.9620
vegetation 0.8234 0.8365
building 0.6842 0.7031
road 0.9654 0.9733
trafficSign 0.3594 0.4580
trafficLight 0.2485 0.2497
pole 0.2753 0.8496
truck 0.0065 0.0065
car 0.7746 0.9690
van 0.0549 0.2835

deepfusepspnet50 (2) (2020-11-19 03:19:56,588)

mIoU mAcc allAcc
0.5571 0.6988 0.9124
Class Iou Accuracy
terrain 0.5811 0.8751
sky 0.9027 0.9400
tree 0.8633 0.9568
vegetation 0.8515 0.8691
building 0.6909 0.7112
road 0.9642 0.9731
trafficSign 0.3454 0.5730
trafficLight 0.2117 0.2127
pole 0.2542 0.8674
truck 0.1540 0.1545
car 0.8068 0.9740
van 0.0600 0.2780

deepfusepspnet50 (3) (2020-11-19 03:13:40,537)

mIoU mAcc allAcc
0.5475 0.6936 0.9024
Class Iou Accuracy
terrain 0.5132 0.8675
sky 0.9029 0.9422
tree 0.8613 0.9575
vegetation 0.8220 0.8497
building 0.6705 0.6880
road 0.9516 0.9563
trafficSign 0.4936 0.6751
trafficLight 0.2298 0.2312
pole 0.2547 0.8607
truck 0.0115 0.0116
car 0.7994 0.9721
van 0.0591 0.3107

pspnet50

mIoU mAcc allAcc
0.5053 0.6467 0.8938

pspnet50 (1) (test-20201111_034932.log)

mIoU mAcc allAcc
0.5064 0.6426 0.8932
Class Iou Accuracy
terrain 0.4543 0.8556
sky 0.8955 0.9350
tree 0.8573 0.9647
vegetation 0.7171 0.7312
building 0.6476 0.6593
road 0.9641 0.9728
trafficSign 0.2704 0.3258
trafficLight 0.1938 0.1954
pole 0.2697 0.7975
truck 0.0265 0.0268
car 0.7208 0.9653
van 0.0594 0.2824

pspnet50 (2) (test-20201111_170731.log)

mIoU mAcc allAcc
0.5003 0.6483 0.8926
Class Iou Accuracy
terrain 0.4462 0.8493
sky 0.8951 0.9355
tree 0.8597 0.9625
vegetation 0.7097 0.7280
building 0.6551 0.6711
road 0.9654 0.9728
trafficSign 0.2241 0.3043
trafficLight 0.1878 0.1895
pole 0.2709 0.8322
truck 0.0040 0.0040
car 0.7061 0.9664
van 0.0790 0.3636

pspnet50 (3) (test-20201111_170826.log)

mIoU mAcc allAcc
0.5092 0.6490 0.8955
Class Iou Accuracy
terrain 0.4713 0.8117
sky 0.8937 0.9296
tree 0.8563 0.9677
vegetation 0.7323 0.7597
building 0.6307 0.6419
road 0.9624 0.9790
trafficSign 0.2215 0.3294
trafficLight 0.1797 0.1804
pole 0.2767 0.8066
truck 0.0205 0.0205
car 0.7864 0.9615
van 0.0786 0.3993

fusepspnet50

mIoU mAcc allAcc
0.5732 0.7137 0.9091

fusepspnet50 (1) (test-20201110_145054.log)

mIoU mAcc allAcc
0.5661 0.7120 0.9073
Class Iou Accuracy
terrain 0.5286 0.9112
sky 0.9029 0.9419
tree 0.8625 0.9573
vegetation 0.8327 0.8451
building 0.6833 0.6994
road 0.9510 0.9564
trafficSign 0.4391 0.6140
trafficLight 0.2239 0.2250
pole 0.2577 0.8593
truck 0.2135 0.2142
car 0.8177 0.9719
van 0.0798 0.3486

fusepspnet50 (2) (test-20201111_034821.log)

mIoU mAcc allAcc
0.5784 0.7183 0.9110
Class Iou Accuracy
terrain 0.5436 0.9105
sky 0.9027 0.9398
tree 0.8630 0.9598
vegetation 0.8601 0.8705
building 0.6830 0.6975
road 0.9497 0.9547
trafficSign 0.4270 0.5390
trafficLight 0.2397 0.2411
pole 0.2575 0.8534
truck 0.2918 0.2940
car 0.8265 0.9701
van 0.0963 0.3891

fusepspnet50 (3) (test-20201110_143027.log)

mIoU mAcc allAcc
0.5752 0.7108 0.9093
Class Iou Accuracy
terrain 0.5400 0.9043
sky 0.9027 0.9424
tree 0.8619 0.9576
vegetation 0.8469 0.8613
building 0.6717 0.6856
road 0.9509 0.9564
trafficSign 0.4849 0.6295
trafficLight 0.2278 0.2290
pole 0.2511 0.8500
truck 0.2912 0.2933
car 0.8124 0.9731
van 0.0609 0.2471
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