mmsegmentation/configs/sem_fpn/sem_fpn.yml

Collections:
- Metadata:
    Training Data:
    - Cityscapes
    - ADE20K
  Name: sem_fpn
Models:
- Config: configs/sem_fpn/fpn_r50_512x1024_80k_cityscapes.py
  In Collection: sem_fpn
  Metadata:
    backbone: R-50
    crop size: (512,1024)
    inference time (ms/im):
    - backend: PyTorch
      batch size: 1
      hardware: V100
      mode: FP32
      resolution: (512,1024)
      value: 73.86
    lr schd: 80000
    memory (GB): 2.8
  Name: fpn_r50_512x1024_80k_cityscapes
  Results:
    Dataset: Cityscapes
    Metrics:
      mIoU: 74.52
      mIoU(ms+flip): 76.08
    Task: Semantic Segmentation
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x1024_80k_cityscapes/fpn_r50_512x1024_80k_cityscapes_20200717_021437-94018a0d.pth
- Config: configs/sem_fpn/fpn_r101_512x1024_80k_cityscapes.py
  In Collection: sem_fpn
  Metadata:
    backbone: R-101
    crop size: (512,1024)
    inference time (ms/im):
    - backend: PyTorch
      batch size: 1
      hardware: V100
      mode: FP32
      resolution: (512,1024)
      value: 97.18
    lr schd: 80000
    memory (GB): 3.9
  Name: fpn_r101_512x1024_80k_cityscapes
  Results:
    Dataset: Cityscapes
    Metrics:
      mIoU: 75.8
      mIoU(ms+flip): 77.4
    Task: Semantic Segmentation
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x1024_80k_cityscapes/fpn_r101_512x1024_80k_cityscapes_20200717_012416-c5800d4c.pth
- Config: configs/sem_fpn/fpn_r50_512x512_160k_ade20k.py
  In Collection: sem_fpn
  Metadata:
    backbone: R-50
    crop size: (512,512)
    inference time (ms/im):
    - backend: PyTorch
      batch size: 1
      hardware: V100
      mode: FP32
      resolution: (512,512)
      value: 17.93
    lr schd: 160000
    memory (GB): 4.9
  Name: fpn_r50_512x512_160k_ade20k
  Results:
    Dataset: ADE20K
    Metrics:
      mIoU: 37.49
      mIoU(ms+flip): 39.09
    Task: Semantic Segmentation
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x512_160k_ade20k/fpn_r50_512x512_160k_ade20k_20200718_131734-5b5a6ab9.pth
- Config: configs/sem_fpn/fpn_r101_512x512_160k_ade20k.py
  In Collection: sem_fpn
  Metadata:
    backbone: R-101
    crop size: (512,512)
    inference time (ms/im):
    - backend: PyTorch
      batch size: 1
      hardware: V100
      mode: FP32
      resolution: (512,512)
      value: 24.64
    lr schd: 160000
    memory (GB): 5.9
  Name: fpn_r101_512x512_160k_ade20k
  Results:
    Dataset: ADE20K
    Metrics:
      mIoU: 39.35
      mIoU(ms+flip): 40.72
    Task: Semantic Segmentation
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x512_160k_ade20k/fpn_r101_512x512_160k_ade20k_20200718_131734-306b5004.pth
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Collections:`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- Metadata:`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Training Data:`
			`- Cityscapes`
			`- ADE20K`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Name: sem_fpn`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Models:`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- Config: configs/sem_fpn/fpn_r50_512x1024_80k_cityscapes.py`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`In Collection: sem_fpn`
			`Metadata:`
			`backbone: R-50`
			`crop size: (512,1024)`
			`inference time (ms/im):`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- backend: PyTorch`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`batch size: 1`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`hardware: V100`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`mode: FP32`
			`resolution: (512,1024)`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`value: 73.86`
			`lr schd: 80000`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`memory (GB): 2.8`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Name: fpn_r50_512x1024_80k_cityscapes`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Results:`
			`Dataset: Cityscapes`
			`Metrics:`
			`mIoU: 74.52`
			`mIoU(ms+flip): 76.08`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Task: Semantic Segmentation`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x1024_80k_cityscapes/fpn_r50_512x1024_80k_cityscapes_20200717_021437-94018a0d.pth`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- Config: configs/sem_fpn/fpn_r101_512x1024_80k_cityscapes.py`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`In Collection: sem_fpn`
			`Metadata:`
			`backbone: R-101`
			`crop size: (512,1024)`
			`inference time (ms/im):`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- backend: PyTorch`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`batch size: 1`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`hardware: V100`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`mode: FP32`
			`resolution: (512,1024)`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`value: 97.18`
			`lr schd: 80000`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`memory (GB): 3.9`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Name: fpn_r101_512x1024_80k_cityscapes`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Results:`
			`Dataset: Cityscapes`
			`Metrics:`
			`mIoU: 75.8`
			`mIoU(ms+flip): 77.4`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Task: Semantic Segmentation`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x1024_80k_cityscapes/fpn_r101_512x1024_80k_cityscapes_20200717_012416-c5800d4c.pth`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- Config: configs/sem_fpn/fpn_r50_512x512_160k_ade20k.py`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`In Collection: sem_fpn`
			`Metadata:`
			`backbone: R-50`
			`crop size: (512,512)`
			`inference time (ms/im):`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- backend: PyTorch`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`batch size: 1`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`hardware: V100`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`mode: FP32`
			`resolution: (512,512)`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`value: 17.93`
			`lr schd: 160000`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`memory (GB): 4.9`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Name: fpn_r50_512x512_160k_ade20k`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Results:`
			`Dataset: ADE20K`
			`Metrics:`
			`mIoU: 37.49`
			`mIoU(ms+flip): 39.09`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Task: Semantic Segmentation`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r50_512x512_160k_ade20k/fpn_r50_512x512_160k_ade20k_20200718_131734-5b5a6ab9.pth`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- Config: configs/sem_fpn/fpn_r101_512x512_160k_ade20k.py`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`In Collection: sem_fpn`
			`Metadata:`
			`backbone: R-101`
			`crop size: (512,512)`
			`inference time (ms/im):`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`- backend: PyTorch`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`batch size: 1`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`hardware: V100`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`mode: FP32`
			`resolution: (512,512)`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`value: 24.64`
			`lr schd: 160000`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`memory (GB): 5.9`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Name: fpn_r101_512x512_160k_ade20k`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Results:`
			`Dataset: ADE20K`
			`Metrics:`
			`mIoU: 39.35`
			`mIoU(ms+flip): 40.72`
Fix random behavior of update_model_index in pre-commit hook (#784) 2021-08-15 23:33:08 +08:00			`Task: Semantic Segmentation`
[Enhancement] md2yml pre-commit hook (#732) * init script * update scripts and generate new yml * fix lint: deeplabv3plus.yml * modify resolution representation * remove field * format crop_size 2021-08-01 00:31:58 +08:00			`Weights: https://download.openmmlab.com/mmsegmentation/v0.5/sem_fpn/fpn_r101_512x512_160k_ade20k/fpn_r101_512x512_160k_ade20k_20200718_131734-306b5004.pth`