[Fix] Fix fastfcn crop_size in README.md (#1597)

open-mmlab · May 20, 2022 · 88b4f0c · 88b4f0c
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diff --git a/configs/fastfcn/README.md b/configs/fastfcn/README.md
@@ -49,12 +49,12 @@ year={2019}
 
 | Method    | Backbone  | Crop Size | Lr schd | Mem (GB) | Inf time (fps) |  mIoU | mIoU(ms+flip) | config                                                                                  | download                                                                                                                                                                                                                                                       |
 | --------- | --------- | --------- | ------: | -------- | -------------- | ----: | ------------- | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| FastFCN + DeepLabV3 | R-50-D32 | 512x1024  | 80000 | 8.46 | 12.06 | 41.88 | 42.91 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k_20211013_190619-3aa40f2d.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k_20211013_190619.log.json)  |
-| FastFCN + DeepLabV3 | R-50-D32 | 512x1024  | 160000 | - | - | 43.58 | 44.92 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k_20211008_152246-27036aee.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k_20211008_152246.log.json) |
-| FastFCN + PSPNet | R-50-D32   | 512x1024  |   80000 | 8.02        |  19.21             | 41.40 |   42.12       | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k.py)  |  [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k_20210930_225137-993d07c8.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k_20210930_225137.log.json)       |
-| FastFCN + PSPNet | R-50-D32   | 512x1024  |   160000 |  -       |  -             | 42.63 |   43.71       | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k.py)   | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k_20211008_105455-e8f5a2fd.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k_20211008_105455.log.json)         |
-| FastFCN + EncNet | R-50-D32  | 512x1024  |   80000 | 9.67        |  17.23             | 40.88 | 42.36          | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k.py)   | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k_20210930_225214-65aef6dd.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k_20210930_225214.log.json)    |
-| FastFCN + EncNet | R-50-D32  | 512x1024  |   160000 | -        | -              | 42.50 |         44.21 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k.py)  | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k_20211008_105456-d875ce3c.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k_20211008_105456.log.json)     |
+| FastFCN + DeepLabV3 | R-50-D32 | 512x512  | 80000 | 8.46 | 12.06 | 41.88 | 42.91 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k_20211013_190619-3aa40f2d.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_80k_ade20k_20211013_190619.log.json)  |
+| FastFCN + DeepLabV3 | R-50-D32 | 512x512  | 160000 | - | - | 43.58 | 44.92 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k_20211008_152246-27036aee.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_aspp_512x512_160k_ade20k_20211008_152246.log.json) |
+| FastFCN + PSPNet | R-50-D32   | 512x512  |   80000 | 8.02        |  19.21             | 41.40 |   42.12       | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k.py)  |  [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k_20210930_225137-993d07c8.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_80k_ade20k_20210930_225137.log.json)       |
+| FastFCN + PSPNet | R-50-D32   | 512x512  |   160000 |  -       |  -             | 42.63 |   43.71       | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k.py)   | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k_20211008_105455-e8f5a2fd.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k/fastfcn_r50-d32_jpu_psp_512x512_160k_ade20k_20211008_105455.log.json)         |
+| FastFCN + EncNet | R-50-D32  | 512x512  |   80000 | 9.67        |  17.23             | 40.88 | 42.36          | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k.py)   | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k_20210930_225214-65aef6dd.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_80k_ade20k_20210930_225214.log.json)    |
+| FastFCN + EncNet | R-50-D32  | 512x512  |   160000 | -        | -              | 42.50 |         44.21 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k.py)  | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k_20211008_105456-d875ce3c.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/fastfcn/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k/fastfcn_r50-d32_jpu_enc_512x512_160k_ade20k_20211008_105456.log.json)     |
 
 Note:
 

diff --git a/configs/fastfcn/fastfcn.yml b/configs/fastfcn/fastfcn.yml
@@ -129,15 +129,15 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 80000
     inference time (ms/im):
     - value: 82.92
       hardware: V100
       backend: PyTorch
       batch size: 1
       mode: FP32
-      resolution: (512,1024)
+      resolution: (512,512)
     Training Memory (GB): 8.46
   Results:
   - Task: Semantic Segmentation
@@ -151,7 +151,7 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 160000
   Results:
   - Task: Semantic Segmentation
@@ -165,15 +165,15 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 80000
     inference time (ms/im):
     - value: 52.06
       hardware: V100
       backend: PyTorch
       batch size: 1
       mode: FP32
-      resolution: (512,1024)
+      resolution: (512,512)
     Training Memory (GB): 8.02
   Results:
   - Task: Semantic Segmentation
@@ -187,7 +187,7 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 160000
   Results:
   - Task: Semantic Segmentation
@@ -201,15 +201,15 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 80000
     inference time (ms/im):
     - value: 58.04
       hardware: V100
       backend: PyTorch
       batch size: 1
       mode: FP32
-      resolution: (512,1024)
+      resolution: (512,512)
     Training Memory (GB): 9.67
   Results:
   - Task: Semantic Segmentation
@@ -223,7 +223,7 @@ Models:
   In Collection: FastFCN
   Metadata:
     backbone: R-50-D32
-    crop size: (512,1024)
+    crop size: (512,512)
     lr schd: 160000
   Results:
   - Task: Semantic Segmentation