diff --git a/configs/ann/metafile.yml b/configs/ann/metafile.yml
index 17959f4282f64e73aae0a9824eaa3745243c32a5..03752dde545ca81738e57a710e30c70622d0b518 100644
--- a/configs/ann/metafile.yml
+++ b/configs/ann/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: ann_r50-d8_512x1024_40k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 3.71
+ inference time (ms/im): 269.54
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: ann_r101-d8_512x1024_40k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 2.55
+ inference time (ms/im): 392.16
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: ann_r50-d8_769x769_40k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 1.70
+ inference time (ms/im): 588.24
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: ann_r101-d8_769x769_40k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: ann_r50-d8_512x1024_80k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 3.71
+ inference time (ms/im): 269.54
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: ann_r101-d8_512x1024_80k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 2.55
+ inference time (ms/im): 392.16
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: ann_r50-d8_769x769_80k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps): 1.70
+ inference time (ms/im): 588.24
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: ann_r101-d8_769x769_80k_cityscapes
In Collection: ANN
Metadata:
- inference time (fps):
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: ann_r50-d8_512x512_80k_ade20k
In Collection: ANN
Metadata:
- inference time (fps): 21.01
+ inference time (ms/im): 47.6
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: ann_r101-d8_512x512_80k_ade20k
In Collection: ANN
Metadata:
- inference time (fps): 14.12
+ inference time (ms/im): 70.82
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: ann_r50-d8_512x512_160k_ade20k
In Collection: ANN
Metadata:
- inference time (fps): 21.01
+ inference time (ms/im): 47.6
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: ann_r101-d8_512x512_160k_ade20k
In Collection: ANN
Metadata:
- inference time (fps): 14.12
+ inference time (ms/im): 70.82
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: ann_r50-d8_512x512_20k_voc12aug
In Collection: ANN
Metadata:
- inference time (fps): 20.92
+ inference time (ms/im): 47.8
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: ann_r101-d8_512x512_20k_voc12aug
In Collection: ANN
Metadata:
- inference time (fps): 13.94
+ inference time (ms/im): 71.74
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: ann_r50-d8_512x512_40k_voc12aug
In Collection: ANN
Metadata:
- inference time (fps): 20.92
+ inference time (ms/im): 47.8
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: ann_r101-d8_512x512_40k_voc12aug
In Collection: ANN
Metadata:
- inference time (fps): 13.94
+ inference time (ms/im): 71.74
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/apcnet/metafile.yml b/configs/apcnet/metafile.yml
index de3ab017296eaa73fc7a794485da79f22e1a1af2..a5eb1012c80509bf7d715e4e391c0b6ada93e544 100644
--- a/configs/apcnet/metafile.yml
+++ b/configs/apcnet/metafile.yml
@@ -10,7 +10,7 @@ Models:
- Name: apcnet_r50-d8_512x1024_40k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 3.57
+ inference time (ms/im): 280.11
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -24,7 +24,7 @@ Models:
- Name: apcnet_r101-d8_512x1024_40k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 2.15
+ inference time (ms/im): 465.12
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -38,7 +38,7 @@ Models:
- Name: apcnet_r50-d8_769x769_40k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 1.52
+ inference time (ms/im): 657.89
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -52,7 +52,7 @@ Models:
- Name: apcnet_r101-d8_769x769_40k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 1.03
+ inference time (ms/im): 970.87
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -66,7 +66,7 @@ Models:
- Name: apcnet_r50-d8_512x1024_80k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 3.57
+ inference time (ms/im): 280.11
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -80,7 +80,7 @@ Models:
- Name: apcnet_r101-d8_512x1024_80k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 2.15
+ inference time (ms/im): 465.12
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -94,7 +94,7 @@ Models:
- Name: apcnet_r50-d8_769x769_80k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 1.52
+ inference time (ms/im): 657.89
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -108,7 +108,7 @@ Models:
- Name: apcnet_r101-d8_769x769_80k_cityscapes
In Collection: APCNet
Metadata:
- inference time (fps): 1.03
+ inference time (ms/im): 970.87
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -122,7 +122,7 @@ Models:
- Name: apcnet_r50-d8_512x512_80k_ade20k
In Collection: APCNet
Metadata:
- inference time (fps): 19.61
+ inference time (ms/im): 50.99
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -136,7 +136,7 @@ Models:
- Name: apcnet_r101-d8_512x512_80k_ade20k
In Collection: APCNet
Metadata:
- inference time (fps): 13.10
+ inference time (ms/im): 76.34
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -150,7 +150,7 @@ Models:
- Name: apcnet_r50-d8_512x512_160k_ade20k
In Collection: APCNet
Metadata:
- inference time (fps): 19.61
+ inference time (ms/im): 50.99
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -164,7 +164,7 @@ Models:
- Name: apcnet_r101-d8_512x512_160k_ade20k
In Collection: APCNet
Metadata:
- inference time (fps): 13.10
+ inference time (ms/im): 76.34
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/ccnet/metafile.yml b/configs/ccnet/metafile.yml
index e9babb5b4464857aee2501890fc02f56562d21d3..da712342c1a85721ee658264058cdcb5254ae217 100644
--- a/configs/ccnet/metafile.yml
+++ b/configs/ccnet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: ccnet_r50-d8_512x1024_40k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 3.32
+ inference time (ms/im): 301.2
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: ccnet_r101-d8_512x1024_40k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 2.31
+ inference time (ms/im): 432.9
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: ccnet_r50-d8_769x769_40k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 1.43
+ inference time (ms/im): 699.3
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: ccnet_r101-d8_769x769_40k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 1.01
+ inference time (ms/im): 990.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: ccnet_r50-d8_512x1024_80k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 3.32
+ inference time (ms/im): 301.2
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: ccnet_r101-d8_512x1024_80k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 2.31
+ inference time (ms/im): 432.9
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: ccnet_r50-d8_769x769_80k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 1.43
+ inference time (ms/im): 699.3
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: ccnet_r101-d8_769x769_80k_cityscapes
In Collection: CCNet
Metadata:
- inference time (fps): 1.01
+ inference time (ms/im): 990.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: ccnet_r50-d8_512x512_80k_ade20k
In Collection: CCNet
Metadata:
- inference time (fps): 20.89
+ inference time (ms/im): 47.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: ccnet_r101-d8_512x512_80k_ade20k
In Collection: CCNet
Metadata:
- inference time (fps): 14.11
+ inference time (ms/im): 70.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: ccnet_r50-d8_512x512_160k_ade20k
In Collection: CCNet
Metadata:
- inference time (fps): 20.89
+ inference time (ms/im): 47.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: ccnet_r101-d8_512x512_160k_ade20k
In Collection: CCNet
Metadata:
- inference time (fps): 14.11
+ inference time (ms/im): 70.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: ccnet_r50-d8_512x512_20k_voc12aug
In Collection: CCNet
Metadata:
- inference time (fps): 20.45
+ inference time (ms/im): 48.9
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: ccnet_r101-d8_512x512_20k_voc12aug
In Collection: CCNet
Metadata:
- inference time (fps): 13.64
+ inference time (ms/im): 73.31
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: ccnet_r50-d8_512x512_40k_voc12aug
In Collection: CCNet
Metadata:
- inference time (fps): 20.45
+ inference time (ms/im): 48.9
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: ccnet_r101-d8_512x512_40k_voc12aug
In Collection: CCNet
Metadata:
- inference time (fps): 13.64
+ inference time (ms/im): 73.31
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/cgnet/metafile.yml b/configs/cgnet/metafile.yml
index 29f1fbb41699388169e8f37c89f1045320c7d316..65ef6f858609ca2e1557ee0e13de885d41af36bf 100644
--- a/configs/cgnet/metafile.yml
+++ b/configs/cgnet/metafile.yml
@@ -9,7 +9,7 @@ Models:
- Name: cgnet_680x680_60k_cityscapes
In Collection: CGNet
Metadata:
- inference time (fps): 30.51
+ inference time (ms/im): 32.78
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -23,7 +23,7 @@ Models:
- Name: cgnet_512x1024_60k_cityscapes
In Collection: CGNet
Metadata:
- inference time (fps): 31.14
+ inference time (ms/im): 32.11
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
diff --git a/configs/danet/metafile.yml b/configs/danet/metafile.yml
index 233cf19a15bad2a9591ba7f7a8e02fd92ffec70d..6075fd610ca2f6c70082f5e24492f9fd7c040a7e 100644
--- a/configs/danet/metafile.yml
+++ b/configs/danet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: danet_r50-d8_512x1024_40k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: danet_r101-d8_512x1024_40k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.99
+ inference time (ms/im): 502.51
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: danet_r50-d8_769x769_40k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.56
+ inference time (ms/im): 641.03
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: danet_r101-d8_769x769_40k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.07
+ inference time (ms/im): 934.58
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: danet_r50-d8_512x1024_80k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: danet_r101-d8_512x1024_80k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.99
+ inference time (ms/im): 502.51
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: danet_r50-d8_769x769_80k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.56
+ inference time (ms/im): 641.03
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: danet_r101-d8_769x769_80k_cityscapes
In Collection: DANet
Metadata:
- inference time (fps): 1.07
+ inference time (ms/im): 934.58
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: danet_r50-d8_512x512_80k_ade20k
In Collection: DANet
Metadata:
- inference time (fps): 21.20
+ inference time (ms/im): 47.17
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: danet_r101-d8_512x512_80k_ade20k
In Collection: DANet
Metadata:
- inference time (fps): 14.18
+ inference time (ms/im): 70.52
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: danet_r50-d8_512x512_160k_ade20k
In Collection: DANet
Metadata:
- inference time (fps): 21.20
+ inference time (ms/im): 47.17
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: danet_r101-d8_512x512_160k_ade20k
In Collection: DANet
Metadata:
- inference time (fps): 14.18
+ inference time (ms/im): 70.52
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: danet_r50-d8_512x512_20k_voc12aug
In Collection: DANet
Metadata:
- inference time (fps): 20.94
+ inference time (ms/im): 47.76
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: danet_r101-d8_512x512_20k_voc12aug
In Collection: DANet
Metadata:
- inference time (fps): 13.76
+ inference time (ms/im): 72.67
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: danet_r50-d8_512x512_40k_voc12aug
In Collection: DANet
Metadata:
- inference time (fps): 20.94
+ inference time (ms/im): 47.76
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: danet_r101-d8_512x512_40k_voc12aug
In Collection: DANet
Metadata:
- inference time (fps): 13.76
+ inference time (ms/im): 72.67
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/deeplabv3/metafile.yml b/configs/deeplabv3/metafile.yml
index 8c7e416d36f158bf5a84a65b90b7acca5cd1b656..c3f154d83baad2b79ea8313f617bc828ed3cd6c1 100644
--- a/configs/deeplabv3/metafile.yml
+++ b/configs/deeplabv3/metafile.yml
@@ -12,7 +12,7 @@ Models:
- Name: deeplabv3_r50-d8_512x1024_40k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 2.57
+ inference time (ms/im): 389.11
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -26,7 +26,7 @@ Models:
- Name: deeplabv3_r101-d8_512x1024_40k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.92
+ inference time (ms/im): 520.83
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -40,7 +40,7 @@ Models:
- Name: deeplabv3_r50-d8_769x769_40k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.11
+ inference time (ms/im): 900.9
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -54,7 +54,7 @@ Models:
- Name: deeplabv3_r101-d8_769x769_40k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 0.83
+ inference time (ms/im): 1204.82
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -68,7 +68,7 @@ Models:
- Name: deeplabv3_r18-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 13.78
+ inference time (ms/im): 72.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -82,7 +82,7 @@ Models:
- Name: deeplabv3_r50-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 2.57
+ inference time (ms/im): 389.11
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -96,7 +96,7 @@ Models:
- Name: deeplabv3_r101-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.92
+ inference time (ms/im): 520.83
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -110,7 +110,7 @@ Models:
- Name: deeplabv3_r18-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 5.55
+ inference time (ms/im): 180.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -124,7 +124,7 @@ Models:
- Name: deeplabv3_r50-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.11
+ inference time (ms/im): 900.9
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -138,7 +138,7 @@ Models:
- Name: deeplabv3_r101-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 0.83
+ inference time (ms/im): 1204.82
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -152,7 +152,7 @@ Models:
- Name: deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 6.96
+ inference time (ms/im): 143.68
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -166,7 +166,7 @@ Models:
- Name: deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 6.96
+ inference time (ms/im): 143.68
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -180,7 +180,7 @@ Models:
- Name: deeplabv3_r18b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 13.93
+ inference time (ms/im): 71.79
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -194,7 +194,7 @@ Models:
- Name: deeplabv3_r50b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 2.74
+ inference time (ms/im): 364.96
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -208,7 +208,7 @@ Models:
- Name: deeplabv3_r101b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.81
+ inference time (ms/im): 552.49
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -222,7 +222,7 @@ Models:
- Name: deeplabv3_r18b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 5.79
+ inference time (ms/im): 172.71
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -236,7 +236,7 @@ Models:
- Name: deeplabv3_r50b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.16
+ inference time (ms/im): 862.07
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -250,7 +250,7 @@ Models:
- Name: deeplabv3_r101b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 0.82
+ inference time (ms/im): 1219.51
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -264,7 +264,7 @@ Models:
- Name: deeplabv3_r50-d8_512x512_80k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 14.76
+ inference time (ms/im): 67.75
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -278,7 +278,7 @@ Models:
- Name: deeplabv3_r101-d8_512x512_80k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 10.14
+ inference time (ms/im): 98.62
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -292,7 +292,7 @@ Models:
- Name: deeplabv3_r50-d8_512x512_160k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 14.76
+ inference time (ms/im): 67.75
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -306,7 +306,7 @@ Models:
- Name: deeplabv3_r101-d8_512x512_160k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 10.14
+ inference time (ms/im): 98.62
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -320,7 +320,7 @@ Models:
- Name: deeplabv3_r50-d8_512x512_20k_voc12aug
In Collection: DeepLabV3
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -334,7 +334,7 @@ Models:
- Name: deeplabv3_r101-d8_512x512_20k_voc12aug
In Collection: DeepLabV3
Metadata:
- inference time (fps): 9.81
+ inference time (ms/im): 101.94
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -348,7 +348,7 @@ Models:
- Name: deeplabv3_r50-d8_512x512_40k_voc12aug
In Collection: DeepLabV3
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -362,7 +362,7 @@ Models:
- Name: deeplabv3_r101-d8_512x512_40k_voc12aug
In Collection: DeepLabV3
Metadata:
- inference time (fps): 9.81
+ inference time (ms/im): 101.94
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -376,7 +376,7 @@ Models:
- Name: deeplabv3_r101-d8_480x480_40k_pascal_context
In Collection: DeepLabV3
Metadata:
- inference time (fps): 7.09
+ inference time (ms/im): 141.04
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -390,7 +390,7 @@ Models:
- Name: deeplabv3_r101-d8_480x480_80k_pascal_context
In Collection: DeepLabV3
Metadata:
- inference time (fps): 7.09
+ inference time (ms/im): 141.04
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -404,7 +404,7 @@ Models:
- Name: deeplabv3_r101-d8_480x480_40k_pascal_context
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -418,7 +418,7 @@ Models:
- Name: deeplabv3_r101-d8_480x480_80k_pascal_context_59
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
diff --git a/configs/deeplabv3plus/metafile.yml b/configs/deeplabv3plus/metafile.yml
index d5256b7894750631697deba48abc51c6acf3b3c1..e515d302238c9aaaf985b798c2b42accad378a77 100644
--- a/configs/deeplabv3plus/metafile.yml
+++ b/configs/deeplabv3plus/metafile.yml
@@ -12,7 +12,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x1024_40k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 3.94
+ inference time (ms/im): 253.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -26,7 +26,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x1024_40k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 2.60
+ inference time (ms/im): 384.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -40,7 +40,7 @@ Models:
- Name: deeplabv3plus_r50-d8_769x769_40k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.72
+ inference time (ms/im): 581.4
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -54,7 +54,7 @@ Models:
- Name: deeplabv3plus_r101-d8_769x769_40k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -68,7 +68,7 @@ Models:
- Name: deeplabv3plus_r18-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 14.27
+ inference time (ms/im): 70.08
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -82,7 +82,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 3.94
+ inference time (ms/im): 253.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -96,7 +96,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 2.60
+ inference time (ms/im): 384.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -110,7 +110,7 @@ Models:
- Name: deeplabv3plus_r18-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 5.74
+ inference time (ms/im): 174.22
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -124,7 +124,7 @@ Models:
- Name: deeplabv3plus_r50-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.72
+ inference time (ms/im): 581.4
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -138,7 +138,7 @@ Models:
- Name: deeplabv3plus_r101-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -152,7 +152,7 @@ Models:
- Name: deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 7.48
+ inference time (ms/im): 133.69
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -166,7 +166,7 @@ Models:
- Name: deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 7.48
+ inference time (ms/im): 133.69
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -180,7 +180,7 @@ Models:
- Name: deeplabv3plus_r18b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 14.95
+ inference time (ms/im): 66.89
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -194,7 +194,7 @@ Models:
- Name: deeplabv3plus_r50b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 3.94
+ inference time (ms/im): 253.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -208,7 +208,7 @@ Models:
- Name: deeplabv3plus_r101b-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 2.60
+ inference time (ms/im): 384.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -222,7 +222,7 @@ Models:
- Name: deeplabv3plus_r18b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 5.96
+ inference time (ms/im): 167.79
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -236,7 +236,7 @@ Models:
- Name: deeplabv3plus_r50b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.72
+ inference time (ms/im): 581.4
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -250,7 +250,7 @@ Models:
- Name: deeplabv3plus_r101b-d8_769x769_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 1.10
+ inference time (ms/im): 909.09
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -264,7 +264,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x512_80k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 21.01
+ inference time (ms/im): 47.6
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -278,7 +278,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x512_80k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 14.16
+ inference time (ms/im): 70.62
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -292,7 +292,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x512_160k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 21.01
+ inference time (ms/im): 47.6
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -306,7 +306,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x512_160k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 14.16
+ inference time (ms/im): 70.62
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -320,7 +320,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x512_20k_voc12aug
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 21
+ inference time (ms/im): 47.62
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -334,7 +334,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x512_20k_voc12aug
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -348,7 +348,7 @@ Models:
- Name: deeplabv3plus_r50-d8_512x512_40k_voc12aug
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 21
+ inference time (ms/im): 47.62
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -362,7 +362,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x512_40k_voc12aug
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -376,7 +376,7 @@ Models:
- Name: deeplabv3plus_r101-d8_480x480_40k_pascal_context
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 9.09
+ inference time (ms/im): 110.01
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -390,7 +390,7 @@ Models:
- Name: deeplabv3plus_r101-d8_480x480_80k_pascal_context
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 9.09
+ inference time (ms/im): 110.01
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -404,7 +404,7 @@ Models:
- Name: deeplabv3plus_r101-d8_480x480_40k_pascal_context
In Collection: DeepLabV3+
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -418,7 +418,7 @@ Models:
- Name: deeplabv3plus_r101-d8_480x480_80k_pascal_context
In Collection: DeepLabV3+
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
diff --git a/configs/dmnet/metafile.yml b/configs/dmnet/metafile.yml
index 936b2e2d36fdd73e97238bd915471606ec5b5aba..fe210d5073675984d30dd477a358724f5037ec5f 100644
--- a/configs/dmnet/metafile.yml
+++ b/configs/dmnet/metafile.yml
@@ -10,7 +10,7 @@ Models:
- Name: dmnet_r50-d8_512x1024_40k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 3.66
+ inference time (ms/im): 273.22
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -24,7 +24,7 @@ Models:
- Name: dmnet_r101-d8_512x1024_40k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 2.54
+ inference time (ms/im): 393.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -38,7 +38,7 @@ Models:
- Name: dmnet_r50-d8_769x769_40k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 1.57
+ inference time (ms/im): 636.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -52,7 +52,7 @@ Models:
- Name: dmnet_r101-d8_769x769_40k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 1.01
+ inference time (ms/im): 990.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -66,7 +66,7 @@ Models:
- Name: dmnet_r50-d8_512x1024_80k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 3.66
+ inference time (ms/im): 273.22
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -80,7 +80,7 @@ Models:
- Name: dmnet_r101-d8_512x1024_80k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 2.54
+ inference time (ms/im): 393.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -94,7 +94,7 @@ Models:
- Name: dmnet_r50-d8_769x769_80k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 1.57
+ inference time (ms/im): 636.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -108,7 +108,7 @@ Models:
- Name: dmnet_r101-d8_769x769_80k_cityscapes
In Collection: DMNet
Metadata:
- inference time (fps): 1.01
+ inference time (ms/im): 990.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -122,7 +122,7 @@ Models:
- Name: dmnet_r50-d8_512x512_80k_ade20k
In Collection: DMNet
Metadata:
- inference time (fps): 20.95
+ inference time (ms/im): 47.73
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -136,7 +136,7 @@ Models:
- Name: dmnet_r101-d8_512x512_80k_ade20k
In Collection: DMNet
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -150,7 +150,7 @@ Models:
- Name: dmnet_r50-d8_512x512_160k_ade20k
In Collection: DMNet
Metadata:
- inference time (fps): 20.95
+ inference time (ms/im): 47.73
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -164,7 +164,7 @@ Models:
- Name: dmnet_r101-d8_512x512_160k_ade20k
In Collection: DMNet
Metadata:
- inference time (fps): 13.88
+ inference time (ms/im): 72.05
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/dnlnet/metafile.yml b/configs/dnlnet/metafile.yml
index e4df52fa1c9dd2e597495ea8df2b19ea634dcdab..7b672e19748a17c7f9ab4e3bb4bcb086db3bb03c 100644
--- a/configs/dnlnet/metafile.yml
+++ b/configs/dnlnet/metafile.yml
@@ -10,7 +10,7 @@ Models:
- Name: dnl_r50-d8_512x1024_40k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 2.56
+ inference time (ms/im): 390.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -24,7 +24,7 @@ Models:
- Name: dnl_r101-d8_512x1024_40k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.96
+ inference time (ms/im): 510.2
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -38,7 +38,7 @@ Models:
- Name: dnl_r50-d8_769x769_40k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.50
+ inference time (ms/im): 666.67
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -52,7 +52,7 @@ Models:
- Name: dnl_r101-d8_769x769_40k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.02
+ inference time (ms/im): 980.39
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -66,7 +66,7 @@ Models:
- Name: dnl_r50-d8_512x1024_80k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 2.56
+ inference time (ms/im): 390.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -80,7 +80,7 @@ Models:
- Name: dnl_r101-d8_512x1024_80k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.96
+ inference time (ms/im): 510.2
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -94,7 +94,7 @@ Models:
- Name: dnl_r50-d8_769x769_80k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.50
+ inference time (ms/im): 666.67
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -108,7 +108,7 @@ Models:
- Name: dnl_r101-d8_769x769_80k_cityscapes
In Collection: dnl
Metadata:
- inference time (fps): 1.02
+ inference time (ms/im): 980.39
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -122,7 +122,7 @@ Models:
- Name: dnl_r50-d8_512x512_80k_ade20k
In Collection: dnl
Metadata:
- inference time (fps): 20.66
+ inference time (ms/im): 48.4
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -136,7 +136,7 @@ Models:
- Name: dnl_r101-d8_512x512_80k_ade20k
In Collection: dnl
Metadata:
- inference time (fps): 12.54
+ inference time (ms/im): 79.74
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -150,7 +150,7 @@ Models:
- Name: dnl_r50-d8_512x512_160k_ade20k
In Collection: dnl
Metadata:
- inference time (fps): 20.66
+ inference time (ms/im): 48.4
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -164,7 +164,7 @@ Models:
- Name: dnl_r101-d8_512x512_160k_ade20k
In Collection: dnl
Metadata:
- inference time (fps): 12.54
+ inference time (ms/im): 79.74
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/emanet/metafile.yml b/configs/emanet/metafile.yml
index f37dcec6d66477996b5134b6a682477b1e3d4d79..1a6bee86e9a976ab7271d9e9f63744e56f0d822f 100644
--- a/configs/emanet/metafile.yml
+++ b/configs/emanet/metafile.yml
@@ -9,7 +9,7 @@ Models:
- Name: emanet_r50-d8_512x1024_80k_cityscapes
In Collection: EMANet
Metadata:
- inference time (fps): 4.58
+ inference time (ms/im): 218.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -23,7 +23,7 @@ Models:
- Name: emanet_r101-d8_512x1024_80k_cityscapes
In Collection: EMANet
Metadata:
- inference time (fps): 2.87
+ inference time (ms/im): 348.43
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -37,7 +37,7 @@ Models:
- Name: emanet_r50-d8_769x769_80k_cityscapes
In Collection: EMANet
Metadata:
- inference time (fps): 1.97
+ inference time (ms/im): 507.61
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -51,7 +51,7 @@ Models:
- Name: emanet_r101-d8_769x769_80k_cityscapes
In Collection: EMANet
Metadata:
- inference time (fps): 1.22
+ inference time (ms/im): 819.67
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
diff --git a/configs/encnet/metafile.yml b/configs/encnet/metafile.yml
index df8bc200741b3fefd0ff4eae873fca782328c981..d756507729316f95621e3563b56662cce5695d3c 100644
--- a/configs/encnet/metafile.yml
+++ b/configs/encnet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: encnet_r50-d8_512x1024_40k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 4.58
+ inference time (ms/im): 218.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: encnet_r101-d8_512x1024_40k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: encnet_r50-d8_769x769_40k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 1.82
+ inference time (ms/im): 549.45
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: encnet_r101-d8_769x769_40k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 1.26
+ inference time (ms/im): 793.65
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: encnet_r50-d8_512x1024_80k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 4.58
+ inference time (ms/im): 218.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: encnet_r101-d8_512x1024_80k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: encnet_r50-d8_769x769_80k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 1.82
+ inference time (ms/im): 549.45
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: encnet_r101-d8_769x769_80k_cityscapes
In Collection: encnet
Metadata:
- inference time (fps): 1.26
+ inference time (ms/im): 793.65
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: encnet_r50-d8_512x512_80k_ade20k
In Collection: encnet
Metadata:
- inference time (fps): 22.81
+ inference time (ms/im): 43.84
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: encnet_r101-d8_512x512_80k_ade20k
In Collection: encnet
Metadata:
- inference time (fps): 14.87
+ inference time (ms/im): 67.25
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: encnet_r50-d8_512x512_160k_ade20k
In Collection: encnet
Metadata:
- inference time (fps): 22.81
+ inference time (ms/im): 43.84
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: encnet_r101-d8_512x512_160k_ade20k
In Collection: encnet
Metadata:
- inference time (fps): 14.87
+ inference time (ms/im): 67.25
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/fastscnn/metafile.yml b/configs/fastscnn/metafile.yml
index edae6f6aa3d423951102d577ee02c6ada51e2502..f87fb321da9e862f8a0373d5531c27313a405f47 100644
--- a/configs/fastscnn/metafile.yml
+++ b/configs/fastscnn/metafile.yml
@@ -9,7 +9,7 @@ Models:
- Name: fast_scnn_4x8_80k_lr0.12_cityscapes
In Collection: Fast-SCNN
Metadata:
- inference time (fps): 63.61
+ inference time (ms/im): 15.72
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
diff --git a/configs/fcn/metafile.yml b/configs/fcn/metafile.yml
index 6419a40aa48ff0f5098556c17ec86587b8f36f47..e7927e086047eb623cd6fecf9af595941d333eb7 100644
--- a/configs/fcn/metafile.yml
+++ b/configs/fcn/metafile.yml
@@ -19,7 +19,7 @@ Models:
- Name: fcn_r50-d8_512x1024_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 4.17
+ inference time (ms/im): 239.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -33,7 +33,7 @@ Models:
- Name: fcn_r101-d8_512x1024_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -47,7 +47,7 @@ Models:
- Name: fcn_r50-d8_769x769_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.80
+ inference time (ms/im): 555.56
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -61,7 +61,7 @@ Models:
- Name: fcn_r101-d8_769x769_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.19
+ inference time (ms/im): 840.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -75,7 +75,7 @@ Models:
- Name: fcn_r18-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 14.65
+ inference time (ms/im): 68.26
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -89,7 +89,7 @@ Models:
- Name: fcn_r50-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 4.17
+ inference time (ms/im): 239.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -103,7 +103,7 @@ Models:
- Name: fcn_r101-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 2.66
+ inference time (ms/im): 375.94
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -117,7 +117,7 @@ Models:
- Name: fcn_r18-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 6.40
+ inference time (ms/im): 156.25
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -131,7 +131,7 @@ Models:
- Name: fcn_r50-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.80
+ inference time (ms/im): 555.56
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -145,7 +145,7 @@ Models:
- Name: fcn_r101-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.19
+ inference time (ms/im): 840.34
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -159,7 +159,7 @@ Models:
- Name: fcn_r18b-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 16.74
+ inference time (ms/im): 59.74
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -173,7 +173,7 @@ Models:
- Name: fcn_r50b-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 4.20
+ inference time (ms/im): 238.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -187,7 +187,7 @@ Models:
- Name: fcn_r101b-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 2.73
+ inference time (ms/im): 366.3
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -201,7 +201,7 @@ Models:
- Name: fcn_r18b-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 6.70
+ inference time (ms/im): 149.25
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -215,7 +215,7 @@ Models:
- Name: fcn_r50b-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.82
+ inference time (ms/im): 549.45
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -229,7 +229,7 @@ Models:
- Name: fcn_r101b-d8_769x769_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -243,7 +243,7 @@ Models:
- Name: fcn_d6_r50-d16_512x1024_40k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 10.22
+ inference time (ms/im): 97.85
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -257,7 +257,7 @@ Models:
- Name: fcn_d6_r50-d16_512x1024_80k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 10.35
+ inference time (ms/im): 96.62
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -271,7 +271,7 @@ Models:
- Name: fcn_d6_r50-d16_769x769_40k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 4.17
+ inference time (ms/im): 239.81
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -285,7 +285,7 @@ Models:
- Name: fcn_d6_r50-d16_769x769_80k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 4.15
+ inference time (ms/im): 240.96
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -299,7 +299,7 @@ Models:
- Name: fcn_d6_r101-d16_512x1024_40k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 8.04
+ inference time (ms/im): 124.38
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -313,7 +313,7 @@ Models:
- Name: fcn_d6_r101-d16_512x1024_80k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 8.26
+ inference time (ms/im): 121.07
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -327,7 +327,7 @@ Models:
- Name: fcn_d6_r101-d16_769x769_40k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 3.12
+ inference time (ms/im): 320.51
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -341,7 +341,7 @@ Models:
- Name: fcn_d6_r101-d16_769x769_80k_cityscapes
In Collection: FCN-D6
Metadata:
- inference time (fps): 3.21
+ inference time (ms/im): 311.53
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -355,7 +355,7 @@ Models:
- Name: fcn_r50-d8_512x512_80k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 23.49
+ inference time (ms/im): 42.57
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -369,7 +369,7 @@ Models:
- Name: fcn_r101-d8_512x512_80k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 14.78
+ inference time (ms/im): 67.66
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -383,7 +383,7 @@ Models:
- Name: fcn_r50-d8_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 23.49
+ inference time (ms/im): 42.57
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -397,7 +397,7 @@ Models:
- Name: fcn_r101-d8_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 14.78
+ inference time (ms/im): 67.66
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -411,7 +411,7 @@ Models:
- Name: fcn_r50-d8_512x512_20k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 23.28
+ inference time (ms/im): 42.96
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -425,7 +425,7 @@ Models:
- Name: fcn_r101-d8_512x512_20k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 14.81
+ inference time (ms/im): 67.52
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -439,7 +439,7 @@ Models:
- Name: fcn_r50-d8_512x512_40k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 23.28
+ inference time (ms/im): 42.96
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -453,7 +453,7 @@ Models:
- Name: fcn_r101-d8_512x512_40k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 14.81
+ inference time (ms/im): 67.52
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -467,7 +467,7 @@ Models:
- Name: fcn_r101-d8_480x480_40k_pascal_context
In Collection: FCN
Metadata:
- inference time (fps): 9.93
+ inference time (ms/im): 100.7
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -481,7 +481,7 @@ Models:
- Name: fcn_r101-d8_480x480_80k_pascal_context
In Collection: FCN
Metadata:
- inference time (fps): 9.93
+ inference time (ms/im): 100.7
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -495,7 +495,7 @@ Models:
- Name: fcn_r101-d8_480x480_40k_pascal_context_59
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -509,7 +509,7 @@ Models:
- Name: fcn_r101-d8_480x480_80k_pascal_context_59
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
diff --git a/configs/fp16/metafile.yml b/configs/fp16/metafile.yml
index e4187bdad244defb180e11e46315204e211ec7b6..f1bf8d3bb06aeb6abfc18aa01fd4330179f9f924 100644
--- a/configs/fp16/metafile.yml
+++ b/configs/fp16/metafile.yml
@@ -4,7 +4,7 @@ Models:
- Name: fcn_r101-d8_512x1024_80k_fp16_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 8.64
+ inference time (ms/im): 115.74
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -18,7 +18,7 @@ Models:
- Name: pspnet_r101-d8_512x1024_80k_fp16_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 8.77
+ inference time (ms/im): 114.03
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -32,7 +32,7 @@ Models:
- Name: deeplabv3_r101-d8_512x1024_80k_fp16_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 3.86
+ inference time (ms/im): 259.07
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -46,7 +46,7 @@ Models:
- Name: deeplabv3plus_r101-d8_512x1024_80k_fp16_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 7.87
+ inference time (ms/im): 127.06
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
diff --git a/configs/gcnet/metafile.yml b/configs/gcnet/metafile.yml
index c10c918a4e5c093e2b51f804f6984a37637ed754..e5efcb85b197f2b22c10362423620ffbea9ccca3 100644
--- a/configs/gcnet/metafile.yml
+++ b/configs/gcnet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: gcnet_r50-d8_512x1024_40k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 3.93
+ inference time (ms/im): 254.45
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: gcnet_r101-d8_512x1024_40k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 2.61
+ inference time (ms/im): 383.14
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: gcnet_r50-d8_769x769_40k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 1.67
+ inference time (ms/im): 598.8
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: gcnet_r101-d8_769x769_40k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 1.13
+ inference time (ms/im): 884.96
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: gcnet_r50-d8_512x1024_80k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 3.93
+ inference time (ms/im): 254.45
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: gcnet_r101-d8_512x1024_80k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 2.61
+ inference time (ms/im): 383.14
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: gcnet_r50-d8_769x769_80k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 1.67
+ inference time (ms/im): 598.8
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: gcnet_r101-d8_769x769_80k_cityscapes
In Collection: GCNet
Metadata:
- inference time (fps): 1.13
+ inference time (ms/im): 884.96
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: gcnet_r50-d8_512x512_80k_ade20k
In Collection: GCNet
Metadata:
- inference time (fps): 23.38
+ inference time (ms/im): 42.77
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: gcnet_r101-d8_512x512_80k_ade20k
In Collection: GCNet
Metadata:
- inference time (fps): 15.20
+ inference time (ms/im): 65.79
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: gcnet_r50-d8_512x512_160k_ade20k
In Collection: GCNet
Metadata:
- inference time (fps): 23.38
+ inference time (ms/im): 42.77
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: gcnet_r101-d8_512x512_160k_ade20k
In Collection: GCNet
Metadata:
- inference time (fps): 15.20
+ inference time (ms/im): 65.79
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: gcnet_r50-d8_512x512_20k_voc12aug
In Collection: GCNet
Metadata:
- inference time (fps): 23.35
+ inference time (ms/im): 42.83
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: gcnet_r101-d8_512x512_20k_voc12aug
In Collection: GCNet
Metadata:
- inference time (fps): 14.80
+ inference time (ms/im): 67.57
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: gcnet_r50-d8_512x512_40k_voc12aug
In Collection: GCNet
Metadata:
- inference time (fps): 23.35
+ inference time (ms/im): 42.83
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: gcnet_r101-d8_512x512_40k_voc12aug
In Collection: GCNet
Metadata:
- inference time (fps): 14.80
+ inference time (ms/im): 67.57
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/hrnet/metafile.yml b/configs/hrnet/metafile.yml
index d2ac3bfa477ec91585286533d2c779d7b1413b75..e96a05919bbf8e68bc454a600387d1849f30d8cc 100644
--- a/configs/hrnet/metafile.yml
+++ b/configs/hrnet/metafile.yml
@@ -2,7 +2,7 @@ Models:
- Name: fcn_hr18s_512x1024_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 23.74
+ inference time (ms/im): 42.12
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -16,7 +16,7 @@ Models:
- Name: fcn_hr18_512x1024_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 12.97
+ inference time (ms/im): 77.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -30,7 +30,7 @@ Models:
- Name: fcn_hr48_512x1024_40k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 6.42
+ inference time (ms/im): 155.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -44,7 +44,7 @@ Models:
- Name: fcn_hr18s_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 23.74
+ inference time (ms/im): 42.12
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -58,7 +58,7 @@ Models:
- Name: fcn_hr18_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 12.97
+ inference time (ms/im): 77.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -72,7 +72,7 @@ Models:
- Name: fcn_hr48_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 6.42
+ inference time (ms/im): 155.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -86,7 +86,7 @@ Models:
- Name: fcn_hr18s_512x1024_160k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 23.74
+ inference time (ms/im): 42.12
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -100,7 +100,7 @@ Models:
- Name: fcn_hr18_512x1024_160k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 12.97
+ inference time (ms/im): 77.1
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -114,7 +114,7 @@ Models:
- Name: fcn_hr48_512x1024_160k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 6.42
+ inference time (ms/im): 155.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -128,7 +128,7 @@ Models:
- Name: fcn_hr18s_512x512_80k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 38.66
+ inference time (ms/im): 25.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -142,7 +142,7 @@ Models:
- Name: fcn_hr18_512x512_80k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 22.57
+ inference time (ms/im): 44.31
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -156,7 +156,7 @@ Models:
- Name: fcn_hr48_512x512_80k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 21.23
+ inference time (ms/im): 47.1
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -170,7 +170,7 @@ Models:
- Name: fcn_hr18s_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 38.66
+ inference time (ms/im): 25.87
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -184,7 +184,7 @@ Models:
- Name: fcn_hr18_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 22.57
+ inference time (ms/im): 44.31
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -198,7 +198,7 @@ Models:
- Name: fcn_hr48_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 21.23
+ inference time (ms/im): 47.1
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -212,7 +212,7 @@ Models:
- Name: fcn_hr18s_512x512_20k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 43.36
+ inference time (ms/im): 23.06
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -226,7 +226,7 @@ Models:
- Name: fcn_hr18_512x512_20k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 23.48
+ inference time (ms/im): 42.59
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -240,7 +240,7 @@ Models:
- Name: fcn_hr48_512x512_20k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 22.05
+ inference time (ms/im): 45.35
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -254,7 +254,7 @@ Models:
- Name: fcn_hr18s_512x512_40k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 43.36
+ inference time (ms/im): 23.06
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -268,7 +268,7 @@ Models:
- Name: fcn_hr18_512x512_40k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 23.48
+ inference time (ms/im): 42.59
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -282,7 +282,7 @@ Models:
- Name: fcn_hr48_512x512_40k_voc12aug
In Collection: FCN
Metadata:
- inference time (fps): 22.05
+ inference time (ms/im): 45.35
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -296,7 +296,7 @@ Models:
- Name: fcn_hr48_480x480_40k_pascal_context
In Collection: FCN
Metadata:
- inference time (fps): 8.86
+ inference time (ms/im): 112.87
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -310,7 +310,7 @@ Models:
- Name: fcn_hr48_480x480_80k_pascal_context
In Collection: FCN
Metadata:
- inference time (fps): 8.86
+ inference time (ms/im): 112.87
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -324,7 +324,7 @@ Models:
- Name: fcn_hr48_480x480_40k_pascal_context_59
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -338,7 +338,7 @@ Models:
- Name: fcn_hr48_480x480_80k_pascal_context
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
diff --git a/configs/mobilenet_v2/metafile.yml b/configs/mobilenet_v2/metafile.yml
index 714686938532cfe65e2e9bd0cddab493d2716797..1379bbae9c7bfdf8532518c4d9ee7c364373f1bd 100644
--- a/configs/mobilenet_v2/metafile.yml
+++ b/configs/mobilenet_v2/metafile.yml
@@ -4,7 +4,7 @@ Models:
- Name: fcn_m-v2-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 14.2
+ inference time (ms/im): 70.42
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -18,7 +18,7 @@ Models:
- Name: pspnet_m-v2-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 11.2
+ inference time (ms/im): 89.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -32,7 +32,7 @@ Models:
- Name: deeplabv3_m-v2-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 8.4
+ inference time (ms/im): 119.05
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -46,7 +46,7 @@ Models:
- Name: deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 8.4
+ inference time (ms/im): 119.05
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -60,7 +60,7 @@ Models:
- Name: fcn_m-v2-d8_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 64.4
+ inference time (ms/im): 15.53
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -74,7 +74,7 @@ Models:
- Name: pspnet_m-v2-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 57.7
+ inference time (ms/im): 17.33
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -88,7 +88,7 @@ Models:
- Name: deeplabv3_m-v2-d8_512x512_160k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 39.9
+ inference time (ms/im): 25.06
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -102,7 +102,7 @@ Models:
- Name: deeplabv3plus_m-v2-d8_512x512_160k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 43.1
+ inference time (ms/im): 23.2
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/mobilenet_v3/metafile.yml b/configs/mobilenet_v3/metafile.yml
index efd700058e7f917bc7c6d3f027b9a36db6aae7af..a7134c712e39479f541c8d947442ad3b625febba 100644
--- a/configs/mobilenet_v3/metafile.yml
+++ b/configs/mobilenet_v3/metafile.yml
@@ -9,7 +9,7 @@ Models:
- Name: lraspp_m-v3-d8_512x1024_320k_cityscapes
In Collection: LRASPP
Metadata:
- inference time (fps): 15.22
+ inference time (ms/im): 65.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -23,7 +23,7 @@ Models:
- Name: lraspp_m-v3-d8_scratch_512x1024_320k_cityscapes
In Collection: LRASPP
Metadata:
- inference time (fps): 14.77
+ inference time (ms/im): 67.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -37,7 +37,7 @@ Models:
- Name: lraspp_m-v3s-d8_512x1024_320k_cityscapes
In Collection: LRASPP
Metadata:
- inference time (fps): 23.64
+ inference time (ms/im): 42.3
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -51,7 +51,7 @@ Models:
- Name: lraspp_m-v3s-d8_scratch_512x1024_320k_cityscapes
In Collection: LRASPP
Metadata:
- inference time (fps): 24.50
+ inference time (ms/im): 40.82
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
diff --git a/configs/nonlocal_net/metafile.yml b/configs/nonlocal_net/metafile.yml
index 0f41ac015e5354ad156df8865d18ee245340f23e..c78fc3059488b148bc1e1338947b4d73f636a2ec 100644
--- a/configs/nonlocal_net/metafile.yml
+++ b/configs/nonlocal_net/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: nonlocal_r50-d8_512x1024_40k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 2.72
+ inference time (ms/im): 367.65
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: nonlocal_r101-d8_512x1024_40k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.95
+ inference time (ms/im): 512.82
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: nonlocal_r50-d8_769x769_40k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.52
+ inference time (ms/im): 657.89
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: nonlocal_r101-d8_769x769_40k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.05
+ inference time (ms/im): 952.38
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: nonlocal_r50-d8_512x1024_80k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 2.72
+ inference time (ms/im): 367.65
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: nonlocal_r101-d8_512x1024_80k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.95
+ inference time (ms/im): 512.82
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: nonlocal_r50-d8_769x769_80k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.52
+ inference time (ms/im): 657.89
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: nonlocal_r101-d8_769x769_80k_cityscapes
In Collection: NonLocal
Metadata:
- inference time (fps): 1.05
+ inference time (ms/im): 952.38
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: nonlocal_r50-d8_512x512_80k_ade20k
In Collection: NonLocal
Metadata:
- inference time (fps): 21.37
+ inference time (ms/im): 46.79
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: nonlocal_r101-d8_512x512_80k_ade20k
In Collection: NonLocal
Metadata:
- inference time (fps): 13.97
+ inference time (ms/im): 71.58
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: nonlocal_r50-d8_512x512_160k_ade20k
In Collection: NonLocal
Metadata:
- inference time (fps): 21.37
+ inference time (ms/im): 46.79
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: nonlocal_r101-d8_512x512_160k_ade20k
In Collection: NonLocal
Metadata:
- inference time (fps): 13.97
+ inference time (ms/im): 71.58
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: nonlocal_r50-d8_512x512_20k_voc12aug
In Collection: NonLocal
Metadata:
- inference time (fps): 21.21
+ inference time (ms/im): 47.15
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: nonlocal_r101-d8_512x512_20k_voc12aug
In Collection: NonLocal
Metadata:
- inference time (fps): 14.01
+ inference time (ms/im): 71.38
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: nonlocal_r50-d8_512x512_40k_voc12aug
In Collection: NonLocal
Metadata:
- inference time (fps): 21.21
+ inference time (ms/im): 47.15
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: nonlocal_r101-d8_512x512_40k_voc12aug
In Collection: NonLocal
Metadata:
- inference time (fps): 14.01
+ inference time (ms/im): 71.38
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/ocrnet/metafile.yml b/configs/ocrnet/metafile.yml
index fcdf72d791e6b6022394b93da30af7c256c56701..1ba52dee18c939f5617f71d16f4a875ddba81812 100644
--- a/configs/ocrnet/metafile.yml
+++ b/configs/ocrnet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: ocrnet_hr18s_512x1024_40k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 10.45
+ inference time (ms/im): 95.69
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: ocrnet_hr18_512x1024_40k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 7.50
+ inference time (ms/im): 133.33
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: ocrnet_hr48_512x1024_40k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 4.22
+ inference time (ms/im): 236.97
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: ocrnet_hr18s_512x1024_80k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 10.45
+ inference time (ms/im): 95.69
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: ocrnet_hr18_512x1024_80k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 7.50
+ inference time (ms/im): 133.33
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: ocrnet_hr48_512x1024_80k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 4.22
+ inference time (ms/im): 236.97
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: ocrnet_hr18s_512x1024_160k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 10.45
+ inference time (ms/im): 95.69
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: ocrnet_hr18_512x1024_160k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 7.50
+ inference time (ms/im): 133.33
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: ocrnet_hr48_512x1024_160k_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 4.22
+ inference time (ms/im): 236.97
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -137,7 +137,7 @@ Models:
- Name: ocrnet_r101-d8_512x1024_40k_b8_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -151,7 +151,7 @@ Models:
- Name: ocrnet_r101-d8_512x1024_40k_b16_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 8.8
+ inference time (ms/im): 113.64
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -165,7 +165,7 @@ Models:
- Name: ocrnet_r101-d8_512x1024_80k_b16_cityscapes
In Collection: OCRNet
Metadata:
- inference time (fps): 8.8
+ inference time (ms/im): 113.64
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -179,7 +179,7 @@ Models:
- Name: ocrnet_hr18s_512x512_80k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 28.98
+ inference time (ms/im): 34.51
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -193,7 +193,7 @@ Models:
- Name: ocrnet_hr18_512x512_80k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 18.93
+ inference time (ms/im): 52.83
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -207,7 +207,7 @@ Models:
- Name: ocrnet_hr48_512x512_80k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 16.99
+ inference time (ms/im): 58.86
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -221,7 +221,7 @@ Models:
- Name: ocrnet_hr18s_512x512_160k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 28.98
+ inference time (ms/im): 34.51
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -235,7 +235,7 @@ Models:
- Name: ocrnet_hr18_512x512_160k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 18.93
+ inference time (ms/im): 52.83
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -249,7 +249,7 @@ Models:
- Name: ocrnet_hr48_512x512_160k_ade20k
In Collection: OCRNet
Metadata:
- inference time (fps): 16.99
+ inference time (ms/im): 58.86
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -263,7 +263,7 @@ Models:
- Name: ocrnet_hr18s_512x512_20k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 31.55
+ inference time (ms/im): 31.7
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -277,7 +277,7 @@ Models:
- Name: ocrnet_hr18_512x512_20k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 19.91
+ inference time (ms/im): 50.23
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -291,7 +291,7 @@ Models:
- Name: ocrnet_hr48_512x512_20k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 17.83
+ inference time (ms/im): 56.09
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -305,7 +305,7 @@ Models:
- Name: ocrnet_hr18s_512x512_40k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 31.55
+ inference time (ms/im): 31.7
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -319,7 +319,7 @@ Models:
- Name: ocrnet_hr18_512x512_40k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 19.91
+ inference time (ms/im): 50.23
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -333,7 +333,7 @@ Models:
- Name: ocrnet_hr48_512x512_40k_voc12aug
In Collection: OCRNet
Metadata:
- inference time (fps): 17.83
+ inference time (ms/im): 56.09
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/point_rend/metafile.yml b/configs/point_rend/metafile.yml
index aba00e0931354c58c6cd723be5e38116b978511b..6a92fd489d492e803d41ba79cf09c5738a6b57c5 100644
--- a/configs/point_rend/metafile.yml
+++ b/configs/point_rend/metafile.yml
@@ -10,7 +10,7 @@ Models:
- Name: pointrend_r50_512x1024_80k_cityscapes
In Collection: PointRend
Metadata:
- inference time (fps): 8.48
+ inference time (ms/im): 117.92
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -24,7 +24,7 @@ Models:
- Name: pointrend_r101_512x1024_80k_cityscapes
In Collection: PointRend
Metadata:
- inference time (fps): 7.00
+ inference time (ms/im): 142.86
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -38,7 +38,7 @@ Models:
- Name: pointrend_r50_512x512_160k_ade20k
In Collection: PointRend
Metadata:
- inference time (fps): 17.31
+ inference time (ms/im): 57.77
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -52,7 +52,7 @@ Models:
- Name: pointrend_r101_512x512_160k_ade20k
In Collection: PointRend
Metadata:
- inference time (fps): 15.50
+ inference time (ms/im): 64.52
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/psanet/metafile.yml b/configs/psanet/metafile.yml
index 7e2b3138bafc547d24d9a2168a6fe8dc55c9728b..801fcb4e6eb05d8e1f6668ec0f16f5039326391f 100644
--- a/configs/psanet/metafile.yml
+++ b/configs/psanet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: psanet_r50-d8_512x1024_40k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 3.17
+ inference time (ms/im): 315.46
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: psanet_r101-d8_512x1024_40k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 2.20
+ inference time (ms/im): 454.55
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: psanet_r50-d8_769x769_40k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 1.40
+ inference time (ms/im): 714.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: psanet_r101-d8_769x769_40k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 0.98
+ inference time (ms/im): 1020.41
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: psanet_r50-d8_512x1024_80k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 3.17
+ inference time (ms/im): 315.46
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: psanet_r101-d8_512x1024_80k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 2.20
+ inference time (ms/im): 454.55
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: psanet_r50-d8_769x769_80k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 1.40
+ inference time (ms/im): 714.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: psanet_r101-d8_769x769_80k_cityscapes
In Collection: PSANet
Metadata:
- inference time (fps): 0.98
+ inference time (ms/im): 1020.41
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: psanet_r50-d8_512x512_80k_ade20k
In Collection: PSANet
Metadata:
- inference time (fps): 18.91
+ inference time (ms/im): 52.88
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: psanet_r101-d8_512x512_80k_ade20k
In Collection: PSANet
Metadata:
- inference time (fps): 13.13
+ inference time (ms/im): 76.16
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: psanet_r50-d8_512x512_160k_ade20k
In Collection: PSANet
Metadata:
- inference time (fps): 18.91
+ inference time (ms/im): 52.88
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: psanet_r101-d8_512x512_160k_ade20k
In Collection: PSANet
Metadata:
- inference time (fps): 13.13
+ inference time (ms/im): 76.16
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: psanet_r50-d8_512x512_20k_voc12aug
In Collection: PSANet
Metadata:
- inference time (fps): 18.24
+ inference time (ms/im): 54.82
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: psanet_r101-d8_512x512_20k_voc12aug
In Collection: PSANet
Metadata:
- inference time (fps): 12.63
+ inference time (ms/im): 79.18
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: psanet_r50-d8_512x512_40k_voc12aug
In Collection: PSANet
Metadata:
- inference time (fps): 18.24
+ inference time (ms/im): 54.82
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: psanet_r101-d8_512x512_40k_voc12aug
In Collection: PSANet
Metadata:
- inference time (fps): 12.63
+ inference time (ms/im): 79.18
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
diff --git a/configs/pspnet/metafile.yml b/configs/pspnet/metafile.yml
index 4981f02c32e4c9611216d280978238e95b57f105..d5db5b713a4038d2201f282509f42f896936cf7f 100644
--- a/configs/pspnet/metafile.yml
+++ b/configs/pspnet/metafile.yml
@@ -12,7 +12,7 @@ Models:
- Name: pspnet_r50-d8_512x1024_40k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 4.07
+ inference time (ms/im): 245.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -26,7 +26,7 @@ Models:
- Name: pspnet_r101-d8_512x1024_40k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 2.68
+ inference time (ms/im): 373.13
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -40,7 +40,7 @@ Models:
- Name: pspnet_r50-d8_769x769_40k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.76
+ inference time (ms/im): 568.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -54,7 +54,7 @@ Models:
- Name: pspnet_r101-d8_769x769_40k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -68,7 +68,7 @@ Models:
- Name: pspnet_r18-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 15.71
+ inference time (ms/im): 63.65
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -82,7 +82,7 @@ Models:
- Name: pspnet_r50-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 4.07
+ inference time (ms/im): 245.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -96,7 +96,7 @@ Models:
- Name: pspnet_r101-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 2.68
+ inference time (ms/im): 373.13
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -110,7 +110,7 @@ Models:
- Name: pspnet_r18-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 6.20
+ inference time (ms/im): 161.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -124,7 +124,7 @@ Models:
- Name: pspnet_r50-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.76
+ inference time (ms/im): 568.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -138,7 +138,7 @@ Models:
- Name: pspnet_r101-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.15
+ inference time (ms/im): 869.57
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -152,7 +152,7 @@ Models:
- Name: pspnet_r18b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 16.28
+ inference time (ms/im): 61.43
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -166,7 +166,7 @@ Models:
- Name: pspnet_r50b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 4.30
+ inference time (ms/im): 232.56
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -180,7 +180,7 @@ Models:
- Name: pspnet_r101b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 2.76
+ inference time (ms/im): 362.32
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -194,7 +194,7 @@ Models:
- Name: pspnet_r18b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 6.41
+ inference time (ms/im): 156.01
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -208,7 +208,7 @@ Models:
- Name: pspnet_r50b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.88
+ inference time (ms/im): 531.91
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -222,7 +222,7 @@ Models:
- Name: pspnet_r101b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 1.17
+ inference time (ms/im): 854.7
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -236,7 +236,7 @@ Models:
- Name: pspnet_r50-d8_512x512_80k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 23.53
+ inference time (ms/im): 42.5
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -250,7 +250,7 @@ Models:
- Name: pspnet_r101-d8_512x512_80k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 15.30
+ inference time (ms/im): 65.36
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -264,7 +264,7 @@ Models:
- Name: pspnet_r50-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 23.53
+ inference time (ms/im): 42.5
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -278,7 +278,7 @@ Models:
- Name: pspnet_r101-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 15.30
+ inference time (ms/im): 65.36
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -292,7 +292,7 @@ Models:
- Name: pspnet_r50-d8_512x512_20k_voc12aug
In Collection: PSPNet
Metadata:
- inference time (fps): 23.59
+ inference time (ms/im): 42.39
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -306,7 +306,7 @@ Models:
- Name: pspnet_r101-d8_512x512_20k_voc12aug
In Collection: PSPNet
Metadata:
- inference time (fps): 15.02
+ inference time (ms/im): 66.58
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -320,7 +320,7 @@ Models:
- Name: pspnet_r50-d8_512x512_40k_voc12aug
In Collection: PSPNet
Metadata:
- inference time (fps): 23.59
+ inference time (ms/im): 42.39
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -334,7 +334,7 @@ Models:
- Name: pspnet_r101-d8_512x512_40k_voc12aug
In Collection: PSPNet
Metadata:
- inference time (fps): 15.02
+ inference time (ms/im): 66.58
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -348,7 +348,7 @@ Models:
- Name: pspnet_r101-d8_480x480_40k_pascal_context
In Collection: PSPNet
Metadata:
- inference time (fps): 9.68
+ inference time (ms/im): 103.31
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -362,7 +362,7 @@ Models:
- Name: pspnet_r101-d8_480x480_80k_pascal_context
In Collection: PSPNet
Metadata:
- inference time (fps): 9.68
+ inference time (ms/im): 103.31
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -376,7 +376,7 @@ Models:
- Name: pspnet_r101-d8_480x480_40k_pascal_context
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
@@ -390,7 +390,7 @@ Models:
- Name: pspnet_r101-d8_480x480_80k_pascal_context_59
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
diff --git a/configs/resnest/metafile.yml b/configs/resnest/metafile.yml
index d6775ac9d5b5d1e7df077def5318c135461243c9..598d61fb50b33da39fdfb17f0578fae16d9f2fe8 100644
--- a/configs/resnest/metafile.yml
+++ b/configs/resnest/metafile.yml
@@ -10,7 +10,7 @@ Models:
- Name: fcn_s101-d8_512x1024_80k_cityscapes
In Collection: FCN
Metadata:
- inference time (fps): 2.39
+ inference time (ms/im): 418.41
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -24,7 +24,7 @@ Models:
- Name: pspnet_s101-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
- inference time (fps): 2.52
+ inference time (ms/im): 396.83
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -38,7 +38,7 @@ Models:
- Name: deeplabv3_s101-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3
Metadata:
- inference time (fps): 1.88
+ inference time (ms/im): 531.91
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -52,7 +52,7 @@ Models:
- Name: deeplabv3plus_s101-d8_512x1024_80k_cityscapes
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 2.36
+ inference time (ms/im): 423.73
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -66,7 +66,7 @@ Models:
- Name: fcn_s101-d8_512x512_160k_ade20k
In Collection: FCN
Metadata:
- inference time (fps): 12.86
+ inference time (ms/im): 77.76
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -80,7 +80,7 @@ Models:
- Name: pspnet_s101-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
- inference time (fps): 13.02
+ inference time (ms/im): 76.8
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -94,7 +94,7 @@ Models:
- Name: deeplabv3_s101-d8_512x512_160k_ade20k
In Collection: DeepLabV3
Metadata:
- inference time (fps): 9.28
+ inference time (ms/im): 107.76
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -108,7 +108,7 @@ Models:
- Name: deeplabv3plus_s101-d8_512x512_160k_ade20k
In Collection: DeepLabV3+
Metadata:
- inference time (fps): 11.96
+ inference time (ms/im): 83.61
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/sem_fpn/metafile.yml b/configs/sem_fpn/metafile.yml
index 781589ac0b59a82ef898c478f03c0fd40965eb40..b6a019d5826c21056f322fee400070a3dfa2fe1b 100644
--- a/configs/sem_fpn/metafile.yml
+++ b/configs/sem_fpn/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: fpn_r50_512x1024_80k_cityscapes
In Collection: FPN
Metadata:
- inference time (fps): 13.54
+ inference time (ms/im): 73.86
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: fpn_r101_512x1024_80k_cityscapes
In Collection: FPN
Metadata:
- inference time (fps): 10.29
+ inference time (ms/im): 97.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: fpn_r50_512x512_160k_ade20k
In Collection: FPN
Metadata:
- inference time (fps): 55.77
+ inference time (ms/im): 17.93
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -53,7 +53,7 @@ Models:
- Name: fpn_r101_512x512_160k_ade20k
In Collection: FPN
Metadata:
- inference time (fps): 40.58
+ inference time (ms/im): 24.64
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
diff --git a/configs/unet/metafile.yml b/configs/unet/metafile.yml
index 51058d00afc73fc710f8b6912b3ef16213bc3aac..8c9bfc3e83b9da03ce6eb70849bc70f0eb1a9deb 100644
--- a/configs/unet/metafile.yml
+++ b/configs/unet/metafile.yml
@@ -3,7 +3,7 @@ Models:
- Name: fcn_unet_s5-d16_64x64_40k_drive
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: DRIVE
@@ -17,7 +17,7 @@ Models:
- Name: pspnet_unet_s5-d16_64x64_40k_drive
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: DRIVE
@@ -31,7 +31,7 @@ Models:
- Name: deeplabv3_unet_s5-d16_64x64_40k_drive
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: DRIVE
@@ -45,7 +45,7 @@ Models:
- Name: fcn_unet_s5-d16_128x128_40k_stare
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: STARE
@@ -59,7 +59,7 @@ Models:
- Name: pspnet_unet_s5-d16_128x128_40k_stare
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: STARE
@@ -73,7 +73,7 @@ Models:
- Name: deeplabv3_unet_s5-d16_128x128_40k_stare
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: STARE
@@ -87,7 +87,7 @@ Models:
- Name: fcn_unet_s5-d16_128x128_40k_chase_db1
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
@@ -101,7 +101,7 @@ Models:
- Name: pspnet_unet_s5-d16_128x128_40k_chase_db1
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
@@ -115,7 +115,7 @@ Models:
- Name: deeplabv3_unet_s5-d16_128x128_40k_chase_db1
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: CHASE_DB1
@@ -129,7 +129,7 @@ Models:
- Name: fcn_unet_s5-d16_256x256_40k_hrf
In Collection: FCN
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: HRF
@@ -143,7 +143,7 @@ Models:
- Name: pspnet_unet_s5-d16_256x256_40k_hrf
In Collection: PSPNet
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: HRF
@@ -157,7 +157,7 @@ Models:
- Name: deeplabv3_unet_s5-d16_256x256_40k_hrf
In Collection: DeepLabV3
Metadata:
- inference time (fps): None
+ inference time (ms/im): None
Results:
- Task: Semantic Segmentation
Dataset: HRF
diff --git a/configs/upernet/metafile.yml b/configs/upernet/metafile.yml
index 315c25568e23137e7ed3d743fb1a2c045432faeb..3bf226af8cea48e70c2a31273d3a97b782b06acb 100644
--- a/configs/upernet/metafile.yml
+++ b/configs/upernet/metafile.yml
@@ -11,7 +11,7 @@ Models:
- Name: upernet_r50_512x1024_40k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 4.25
+ inference time (ms/im): 235.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -25,7 +25,7 @@ Models:
- Name: upernet_r101_512x1024_40k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 3.79
+ inference time (ms/im): 263.85
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -39,7 +39,7 @@ Models:
- Name: upernet_r50_769x769_40k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 1.76
+ inference time (ms/im): 568.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -53,7 +53,7 @@ Models:
- Name: upernet_r101_769x769_40k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 1.56
+ inference time (ms/im): 641.03
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -67,7 +67,7 @@ Models:
- Name: upernet_r50_512x1024_80k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 4.25
+ inference time (ms/im): 235.29
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -81,7 +81,7 @@ Models:
- Name: upernet_r101_512x1024_80k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 3.79
+ inference time (ms/im): 263.85
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -95,7 +95,7 @@ Models:
- Name: upernet_r50_769x769_80k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 1.76
+ inference time (ms/im): 568.18
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -109,7 +109,7 @@ Models:
- Name: upernet_r101_769x769_80k_cityscapes
In Collection: UPerNet
Metadata:
- inference time (fps): 1.56
+ inference time (ms/im): 641.03
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
@@ -123,7 +123,7 @@ Models:
- Name: upernet_r50_512x512_80k_ade20k
In Collection: UPerNet
Metadata:
- inference time (fps): 23.40
+ inference time (ms/im): 42.74
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -137,7 +137,7 @@ Models:
- Name: upernet_r101_512x512_80k_ade20k
In Collection: UPerNet
Metadata:
- inference time (fps): 20.34
+ inference time (ms/im): 49.16
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -151,7 +151,7 @@ Models:
- Name: upernet_r50_512x512_160k_ade20k
In Collection: UPerNet
Metadata:
- inference time (fps): 23.40
+ inference time (ms/im): 42.74
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -165,7 +165,7 @@ Models:
- Name: upernet_r101_512x512_160k_ade20k
In Collection: UPerNet
Metadata:
- inference time (fps): 20.34
+ inference time (ms/im): 49.16
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
@@ -179,7 +179,7 @@ Models:
- Name: upernet_r50_512x512_20k_voc12aug
In Collection: UPerNet
Metadata:
- inference time (fps): 23.17
+ inference time (ms/im): 43.16
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -193,7 +193,7 @@ Models:
- Name: upernet_r101_512x512_20k_voc12aug
In Collection: UPerNet
Metadata:
- inference time (fps): 19.98
+ inference time (ms/im): 50.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -207,7 +207,7 @@ Models:
- Name: upernet_r50_512x512_40k_voc12aug
In Collection: UPerNet
Metadata:
- inference time (fps): 23.17
+ inference time (ms/im): 43.16
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
@@ -221,7 +221,7 @@ Models:
- Name: upernet_r101_512x512_40k_voc12aug
In Collection: UPerNet
Metadata:
- inference time (fps): 19.98
+ inference time (ms/im): 50.05
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug