mmsegmentation/configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_pascal-context-59-480x480.py

_base_ = [
    '../_base_/models/deeplabv3plus_r50-d8.py',
    '../_base_/datasets/pascal_context_59.py', '../_base_/default_runtime.py',
    '../_base_/schedules/schedule_80k.py'
]
crop_size = (480, 480)
data_preprocessor = dict(size=crop_size)
model = dict(
    data_preprocessor=data_preprocessor,
    decode_head=dict(num_classes=59),
    auxiliary_head=dict(num_classes=59),
    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)
optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)
Add support for Pascal Context 59 classes (#459) * Add support for Pascal Context 59 classes (#459) * Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py; * Set reduce_zero_label=True for train_pipeline and PascalContextDataset59; * Add some configs for Pascal-Context 59 classes training and testing; * Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * ignore files and folders named tempxxx; * Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Modify the calculation of IoU; * Modify the CLASSES order of PascalContextDataset; * Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59; Add some ignore items in ".gitignore"; * fix the bug "test_cfg specified in both outer field and model field " of pspnet config file; * * Clean unnecessary codes; * Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md * Add command line argument: "-p \| --port", this arg can change the transmit port when you transmit data to distributed machine. * * Remove rebundant config files; * Remove "-p\|--port" command argument; Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com> 2021-04-20 12:20:54 +08:00			`_base_ = [`
			`'../_base_/models/deeplabv3plus_r50-d8.py',`
			`'../_base_/datasets/pascal_context_59.py', '../_base_/default_runtime.py',`
			`'../_base_/schedules/schedule_80k.py'`
			`]`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 14:02:40 +00:00			`crop_size = (480, 480)`
[Refactory] Refactory BaseSegmentor based BaseModel 2022-06-19 06:32:09 +00:00			`data_preprocessor = dict(size=crop_size)`
Add support for Pascal Context 59 classes (#459) * Add support for Pascal Context 59 classes (#459) * Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py; * Set reduce_zero_label=True for train_pipeline and PascalContextDataset59; * Add some configs for Pascal-Context 59 classes training and testing; * Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * ignore files and folders named tempxxx; * Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Modify the calculation of IoU; * Modify the CLASSES order of PascalContextDataset; * Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59; Add some ignore items in ".gitignore"; * fix the bug "test_cfg specified in both outer field and model field " of pspnet config file; * * Clean unnecessary codes; * Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md * Add command line argument: "-p \| --port", this arg can change the transmit port when you transmit data to distributed machine. * * Remove rebundant config files; * Remove "-p\|--port" command argument; Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com> 2021-04-20 12:20:54 +08:00			`model = dict(`
[Refactory] Refactory BaseSegmentor based BaseModel 2022-06-19 06:32:09 +00:00			`data_preprocessor=data_preprocessor,`
Add support for Pascal Context 59 classes (#459) * Add support for Pascal Context 59 classes (#459) * Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py; * Set reduce_zero_label=True for train_pipeline and PascalContextDataset59; * Add some configs for Pascal-Context 59 classes training and testing; * Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * ignore files and folders named tempxxx; * Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0"; * Modify the calculation of IoU; * Modify the CLASSES order of PascalContextDataset; * Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59; Add some ignore items in ".gitignore"; * fix the bug "test_cfg specified in both outer field and model field " of pspnet config file; * * Clean unnecessary codes; * Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md * Add command line argument: "-p \| --port", this arg can change the transmit port when you transmit data to distributed machine. * * Remove rebundant config files; * Remove "-p\|--port" command argument; Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com> 2021-04-20 12:20:54 +08:00			`decode_head=dict(num_classes=59),`
			`auxiliary_head=dict(num_classes=59),`
			`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)`
[Fix] Fix optim wrapper configs 2022-07-14 01:49:52 +00:00			`optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)`