@@ -18,19 +18,19 @@ python tools/train.py configs/deeplabv3/deeplabv3_r50-d8_4xb2-40k_cityscapes-512
1818
1919## Models Results
2020
21- | Model | mIoU | Config | Download |
22- | :-----------------: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------ |
23- | [ deeplabv3] ( < > ) | 78.85 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes .py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/deeplabv3_r50-d8_4xb2-40k_cityscapes-512x1024_20230115_205626.json ) |
24- | [ deeplabv3plus] ( < > ) | 79.23 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024 ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024_20230116_043450.json ) |
25- | [ hrnet] ( < > ) | 78.1 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/hrnet/fcn_hr18_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/fcn_hr18_4xb2-40k_cityscapes-512x1024_20230116_215821.json ) |
26- | [ fcn] ( < > ) | 74.15 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/fcn/fcn_r50-d8_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/fcn_r50-d8_4xb2-40k_cityscapes-512x1024_20230111_083014.json ) |
27- | [ icnet] ( < > ) | 69.25 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/icnet/icnet_r50-d8_4xb2-80k_cityscapes-832x832.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/icnet_r50-d8_4xb2-80k_cityscapes-832x832_20230119_002929.json ) |
28- | [ pspnet] ( < > ) | 77.21 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024_20230114_042721.json ) |
29- | [ unet] ( < > ) | 68.86 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/unet/unet-s5-d16_fcn_4xb4-160k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/unet-s5-d16_fcn_4xb4-160k_cityscapes-512x1024_20230129_224750.json ) |
30- | [ upernet] ( < > ) | 77.81 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/upernet/upernet_r50_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/upernet_r50_4xb2-40k_cityscapes-512x1024_20230129_014634.json ) |
31- | [ apcnet] ( < > ) | 78.02 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/apcnet/apcnet_r50-d8_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/apcnet_r50-d8_4xb2-40k_cityscapes-512x1024_20230209_212545.json ) |
32- | [ bisenetv1] ( < > ) | 76.04 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/bisenetv1/bisenetv1_r50-d32_4xb4-160k_cityscapes-1024x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/bisenetv1_r50-d32_4xb4-160k_cityscapes-1024x1024_20230201_023946.json ) |
33- | [ bisenetv2] ( < > ) | 72.44 | [ config] ( https://github.com/wangjiangben-hw /mmsegmentation/blob/master /configs/bisenetv2/bisenetv2_fcn_4xb4-amp-160k_cityscapes-1024x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/bisenetv2_fcn_4xb4-amp-160k_cityscapes-1024x1024_20230205_215606.json ) |
21+ | Model | mIoU | Config | Download |
22+ | :-----------------: | :---: | :----------------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------ |
23+ | [ deeplabv3] ( < > ) | 78.85 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/deeplabv3/deeplabv3_r50-d8_4xb2-40k_cityscapes-512x1024 .py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/deeplabv3_r50-d8_4xb2-40k_cityscapes-512x1024_20230115_205626.json ) |
24+ | [ deeplabv3plus] ( < > ) | 79.23 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/deeplabv3plus/ deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024_20230116_043450.json ) |
25+ | [ hrnet] ( < > ) | 78.1 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/hrnet/fcn_hr18_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/fcn_hr18_4xb2-40k_cityscapes-512x1024_20230116_215821.json ) |
26+ | [ fcn] ( < > ) | 74.15 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/fcn/fcn_r50-d8_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/fcn_r50-d8_4xb2-40k_cityscapes-512x1024_20230111_083014.json ) |
27+ | [ icnet] ( < > ) | 69.25 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/icnet/icnet_r50-d8_4xb2-80k_cityscapes-832x832.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/icnet_r50-d8_4xb2-80k_cityscapes-832x832_20230119_002929.json ) |
28+ | [ pspnet] ( < > ) | 77.21 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/pspnet/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/pspnet_r50b-d8_4xb2-80k_cityscapes-512x1024_20230114_042721.json ) |
29+ | [ unet] ( < > ) | 68.86 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/unet/unet-s5-d16_fcn_4xb4-160k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/unet-s5-d16_fcn_4xb4-160k_cityscapes-512x1024_20230129_224750.json ) |
30+ | [ upernet] ( < > ) | 77.81 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/upernet/upernet_r50_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/upernet_r50_4xb2-40k_cityscapes-512x1024_20230129_014634.json ) |
31+ | [ apcnet] ( < > ) | 78.02 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/apcnet/apcnet_r50-d8_4xb2-40k_cityscapes-512x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/apcnet_r50-d8_4xb2-40k_cityscapes-512x1024_20230209_212545.json ) |
32+ | [ bisenetv1] ( < > ) | 76.04 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/bisenetv1/bisenetv1_r50-d32_4xb4-160k_cityscapes-1024x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/bisenetv1_r50-d32_4xb4-160k_cityscapes-1024x1024_20230201_023946.json ) |
33+ | [ bisenetv2] ( < > ) | 72.44 | [ config] ( https://github.com/open-mmlab /mmsegmentation/tree/1.x /configs/bisenetv2/bisenetv2_fcn_4xb4-amp-160k_cityscapes-1024x1024.py ) | [ log] ( https://download.openmmlab.com/mmsegmentation/v0.5/device/npu/bisenetv2_fcn_4xb4-amp-160k_cityscapes-1024x1024_20230205_215606.json ) |
3434
3535** Notes:**
3636
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