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[Feature] Support ICNet #863
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Codecov Report
@@ Coverage Diff @@
## master #863 +/- ##
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+ Coverage 89.02% 89.06% +0.03%
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Files 111 113 +2
Lines 6043 6147 +104
Branches 969 974 +5
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+ Hits 5380 5475 +95
- Misses 467 476 +9
Partials 196 196
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Sources: MMSegmentation: |
Can find more results here. |
…nd (open-mmlab#867) * support load gt for evaluation from multi-backend * move some code from get_gt_seg_maps to get_one_gt_seg_map * rename gt_seg_map_loader_conf to gt_seg_map_loader_cfg * fix doc str * rename get_one_gt_seg_map to get_gt_seg_map_by_idx
* [Fix] Convert SyncBN to BN when training on DP. * Modify SyncBN2BN. * Add SyncBN2BN unit test. * Resolve some comments. * use mmcv official revert_sync_batchnorm * Remove local syncbn2bn unit tests. * Update mmcv version. * Fix bugs of gather model tools. * Modify warnings. * Modify docker mmcv version. * Update mmcv version table.
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# Icnet for real-time semantic segmentation on high-resolution images |
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# Icnet for real-time semantic segmentation on high-resolution images | |
# ICNet for real-time semantic segmentation on high-resolution images |
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| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download | | ||
| ------ | ---------- | --------- | ------: | -------- | -------------- | ----: | ------------: | -------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | ||
| ICNet | R-18-D8 | 832x832 | 80000 | 1.87 | 40.66 | 66.92 | 69.43 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/icnet/icnet_r18-d8_832x832_80k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fcn/fcn_r50-d8_512x1024_40k_cityscapes/fcn_r50-d8_512x1024_40k_cityscapes_20200604_192608-efe53f0d.pth) | [log](https://download.openmmlab.com/mmsegmentation/v0.5/fcn/fcn_r50-d8_512x1024_40k_cityscapes/fcn_r50-d8_512x1024_40k_cityscapes_20200604_192608.log.json) | |
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Maybe we can Aevrage fps.
This PR is ended, please review new PR instead: #884 |
Support ICNet