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🚀 feat : Release evaluation code and weights for Pascal Context dataset.
# |<---- Using a Maximum Of 50 Characters ---->| # Explain why this change is being made # |<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->| # Provide links or keys to any relevant tickets, articles or other resources # Example: Github issue #23 # --- COMMIT END --- # Type can be # 🔬 exp (new experiment) # 🚀 feat (new feature) # 🧐 fix (bug fix) # 🏗️ refactor (refactoring production code) # 🍻 style (formatting, missing semi colons, etc; no code change) # 📝 docs (changes to documentation) # ✅ test (adding or refactoring tests; no production code change) # 💚 chore (updating grunt tasks etc; no production code change) # --------------------
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eval/configs/_base_/datasets/mmseg/pascal_context_59_512x512.py
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eval/configs/baseline/deeplabv3plus/deeplabv3plus_m-v2-d8_480x480_80k_pascal_context_59.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/deeplabv3plus_r50-d8.py', | ||
| '../../_base_/datasets/mmseg/pascal_context_59.py', | ||
| '../../_base_/mmseg_runtime.py', | ||
| '../../_base_/schedules/mmseg/schedule_80k.py', | ||
| ] | ||
|
|
||
| model = dict( | ||
| pretrained='mmcls://mobilenet_v2', | ||
| backbone=dict( | ||
| _delete_=True, | ||
| type='MobileNetV2', | ||
| widen_factor=1., | ||
| strides=(1, 2, 2, 1, 1, 1, 1), | ||
| dilations=(1, 1, 1, 2, 2, 4, 4), | ||
| out_indices=(1, 2, 4, 6)), | ||
| decode_head=dict(in_channels=320, c1_in_channels=24,num_classes=59, channels=512), | ||
| auxiliary_head=dict(in_channels=96, num_classes=59,channels=256) | ||
| ) | ||
|
|
||
| optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=1e-4) | ||
| optimizer_config = dict() |
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eval/configs/baseline/hrnet/fcn_hr18s_480x480_80k_pascal_context_59.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/fcn_hr18.py', | ||
| '../../_base_/datasets/mmseg/pascal_context_59.py', | ||
| '../../_base_/mmseg_runtime.py', | ||
| '../../_base_/schedules/mmseg/schedule_80k.py', | ||
| ] | ||
|
|
||
| model = dict( | ||
| pretrained='open-mmlab://msra/hrnetv2_w18_small', | ||
| decode_head=dict(num_classes=59), | ||
| backbone=dict( | ||
| extra=dict( | ||
| stage1=dict(num_blocks=(2,)), | ||
| stage2=dict(num_blocks=(2, 2)), | ||
| stage3=dict(num_modules=3, num_blocks=(2, 2, 2)), | ||
| stage4=dict(num_modules=2, num_blocks=(2, 2, 2, 2)))), | ||
| test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(320, 320)) | ||
| ) | ||
|
|
||
| optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=1e-4) | ||
| optimizer_config = dict() |
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eval/configs/baseline/isanet/isanet_r101-d8_512x512_80k_context.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,19 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/isanet_r50-d8.py', | ||
| '../../_base_/datasets/mmseg/pascal_context_59_512x512.py', | ||
| '../../_base_/mmseg_runtime.py', | ||
| '../../_base_/schedules/mmseg/schedule_80k.py', | ||
| ] | ||
|
|
||
| model = dict( | ||
| pretrained='open-mmlab://resnet101_v1c', | ||
| backbone=dict(depth=101), | ||
| decode_head=dict( | ||
| num_classes=59, | ||
| ), | ||
| auxiliary_head=dict( | ||
| num_classes=59, | ||
| ) | ||
| ) | ||
|
|
||
| optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001) |
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eval/configs/baseline/isanet/isanet_r18-d8_480x480_80k_context.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/isanet_r50-d8.py', | ||
| '../../_base_/datasets/mmseg/pascal_context_59.py', | ||
| '../../_base_/mmseg_runtime.py', | ||
| '../../_base_/schedules/mmseg/schedule_40k.py', | ||
| ] | ||
|
|
||
| model = dict( | ||
| pretrained='open-mmlab://resnet18_v1c', | ||
| backbone=dict(depth=18), | ||
| decode_head=dict(in_channels=512, isa_channels=256, channels=128, num_classes=59), | ||
| auxiliary_head=dict(in_channels=256, channels=64, num_classes=59)) | ||
|
|
||
| optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001) |
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eval/configs/baseline/pspnet/pspnet_r18-d8_480x480_80k_pascal_context_59.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,19 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/pspnet_r50-d8.py', | ||
| '../../_base_/datasets/mmseg/pascal_context_59.py', | ||
| '../../_base_/mmseg_runtime.py', | ||
| '../../_base_/schedules/mmseg/schedule_80k.py', | ||
| ] | ||
| model = dict( | ||
| pretrained='open-mmlab://resnet18_v1c', | ||
| backbone=dict(depth=18), | ||
| decode_head=dict( | ||
| num_classes=59, | ||
| in_channels=512, | ||
| channels=128, | ||
| ), | ||
| auxiliary_head=dict(num_classes=59,in_channels=256, channels=64), | ||
| # change the test time crop size here | ||
| test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320))) | ||
|
|
||
| optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001) |
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