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MengzhangLIMengzhangLI
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37 files changed

+313
-313
lines changed

‎.dev/md2yml.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -206,7 +206,7 @@ def parse_md(md_file):
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f'({crop_size[0]},{crop_size[1]})'
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}]
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if mem != -1:
209-
model['Metadata']['memory (GB)'] = float(mem)
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model['Metadata']['Training Memory (GB)'] = float(mem)
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# Only have semantic segmentation now
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if ms_id and els[ms_id] != '-' and els[ms_id] != '':
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model['Results'][0]['Metrics'][

‎configs/ann/ann.yml‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
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memory (GB): 6.0
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Training Memory (GB): 6.0
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -50,7 +50,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
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memory (GB): 9.5
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Training Memory (GB): 9.5
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -72,7 +72,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (769,769)
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memory (GB): 6.8
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Training Memory (GB): 6.8
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -94,7 +94,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (769,769)
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memory (GB): 10.7
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Training Memory (GB): 10.7
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -172,7 +172,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 9.1
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Training Memory (GB): 9.1
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
@@ -194,7 +194,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 12.5
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Training Memory (GB): 12.5
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
@@ -244,7 +244,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 6.0
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Training Memory (GB): 6.0
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
@@ -266,7 +266,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 9.5
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Training Memory (GB): 9.5
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug

‎configs/apcnet/apcnet.yml‎

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -27,7 +27,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
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memory (GB): 7.7
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Training Memory (GB): 7.7
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -49,7 +49,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
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memory (GB): 11.2
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Training Memory (GB): 11.2
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -71,7 +71,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (769,769)
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memory (GB): 8.7
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Training Memory (GB): 8.7
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -93,7 +93,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (769,769)
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memory (GB): 12.7
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Training Memory (GB): 12.7
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -171,7 +171,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 10.1
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Training Memory (GB): 10.1
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
@@ -193,7 +193,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 13.6
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Training Memory (GB): 13.6
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K

‎configs/bisenetv1/bisenetv1.yml‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -27,7 +27,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 5.69
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Training Memory (GB): 5.69
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -49,7 +49,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 5.69
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Training Memory (GB): 5.69
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -71,7 +71,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 11.17
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Training Memory (GB): 11.17
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -93,7 +93,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 15.39
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Training Memory (GB): 15.39
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -115,7 +115,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 15.39
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Training Memory (GB): 15.39
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -151,7 +151,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 6.33
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Training Memory (GB): 6.33
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Results:
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- Task: Semantic Segmentation
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Dataset: COCO-Stuff 164k
@@ -187,7 +187,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 9.28
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Training Memory (GB): 9.28
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Results:
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- Task: Semantic Segmentation
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Dataset: COCO-Stuff 164k
@@ -223,7 +223,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
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memory (GB): 10.36
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Training Memory (GB): 10.36
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Results:
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- Task: Semantic Segmentation
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Dataset: COCO-Stuff 164k

‎configs/bisenetv2/bisenetv2.yml‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -25,7 +25,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (1024,1024)
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memory (GB): 7.64
28+
Training Memory (GB): 7.64
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -40,7 +40,7 @@ Models:
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backbone: BiSeNetV2
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crop size: (1024,1024)
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lr schd: 160000
43-
memory (GB): 7.64
43+
Training Memory (GB): 7.64
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -55,7 +55,7 @@ Models:
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backbone: BiSeNetV2
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crop size: (1024,1024)
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lr schd: 160000
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memory (GB): 15.05
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Training Memory (GB): 15.05
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -77,7 +77,7 @@ Models:
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batch size: 1
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mode: FP16
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resolution: (1024,1024)
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memory (GB): 5.77
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Training Memory (GB): 5.77
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes

‎configs/ccnet/ccnet.yml‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
31-
memory (GB): 6.0
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Training Memory (GB): 6.0
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -50,7 +50,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
53-
memory (GB): 9.5
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Training Memory (GB): 9.5
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -72,7 +72,7 @@ Models:
7272
batch size: 1
7373
mode: FP32
7474
resolution: (769,769)
75-
memory (GB): 6.8
75+
Training Memory (GB): 6.8
7676
Results:
7777
- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -94,7 +94,7 @@ Models:
9494
batch size: 1
9595
mode: FP32
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resolution: (769,769)
97-
memory (GB): 10.7
97+
Training Memory (GB): 10.7
9898
Results:
9999
- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -172,7 +172,7 @@ Models:
172172
batch size: 1
173173
mode: FP32
174174
resolution: (512,512)
175-
memory (GB): 8.8
175+
Training Memory (GB): 8.8
176176
Results:
177177
- Task: Semantic Segmentation
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Dataset: ADE20K
@@ -194,7 +194,7 @@ Models:
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batch size: 1
195195
mode: FP32
196196
resolution: (512,512)
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memory (GB): 12.2
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Training Memory (GB): 12.2
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
@@ -244,7 +244,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,512)
247-
memory (GB): 6.0
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Training Memory (GB): 6.0
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
@@ -266,7 +266,7 @@ Models:
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batch size: 1
267267
mode: FP32
268268
resolution: (512,512)
269-
memory (GB): 9.5
269+
Training Memory (GB): 9.5
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug

‎configs/cgnet/cgnet.yml‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -26,7 +26,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (680,680)
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memory (GB): 7.5
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Training Memory (GB): 7.5
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
@@ -48,7 +48,7 @@ Models:
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batch size: 1
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mode: FP32
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resolution: (512,1024)
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memory (GB): 8.3
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Training Memory (GB): 8.3
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes

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