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mmsegmentation/configs/pspnet/pspnet_r50-d8_480x480_40k_p...

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Add Pascal Context to mmsegmentation (#133) * Add Pascal Context to mmsegmentation * Add benchmark result to Pascal Context * fix mmcv version * fix code syntax * fix code syntax again * Update mmseg/models/segmentors/encoder_decoder.py update hint Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> * update comment * fix pascal context model path * fix model path mistake again * fix model path mistake again * fix model path mistakes again Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
2020-09-22 14:56:13 +08:00
_base_ = [
'../_base_/models/pspnet_r50-d8.py',
'../_base_/datasets/pascal_context.py', '../_base_/default_runtime.py',
'../_base_/schedules/schedule_40k.py'
]
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg
2022-06-10 22:02:40 +08:00
crop_size = (480, 480)
preprocess_cfg = dict(size=crop_size)
Add Pascal Context to mmsegmentation (#133) * Add Pascal Context to mmsegmentation * Add benchmark result to Pascal Context * fix mmcv version * fix code syntax * fix code syntax again * Update mmseg/models/segmentors/encoder_decoder.py update hint Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> * update comment * fix pascal context model path * fix model path mistake again * fix model path mistake again * fix model path mistakes again Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
2020-09-22 14:56:13 +08:00
model = dict(
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg
2022-06-10 22:02:40 +08:00
preprocess_cfg=preprocess_cfg,
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=60),
auxiliary_head=dict(num_classes=60),
test_cfg=dict(mode='slide', crop_size=(480, 480), stride=(320, 320)))
Add Pascal Context to mmsegmentation (#133) * Add Pascal Context to mmsegmentation * Add benchmark result to Pascal Context * fix mmcv version * fix code syntax * fix code syntax again * Update mmseg/models/segmentors/encoder_decoder.py update hint Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com> * update comment * fix pascal context model path * fix model path mistake again * fix model path mistake again * fix model path mistakes again Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
2020-09-22 14:56:13 +08:00
optimizer = dict(type='SGD', lr=0.004, momentum=0.9, weight_decay=0.0001)