add new model

Matting/configs/benchmarks/PPM/README.md

+### PPM
+
+| Method | SAD | MSE | Grad | Conn |
+|-|-|-|-|-|
+|ClosedFormMatting|40.6251|0.0782|55.5716|40.6646|
+|KNNMatting|41.5604|0.0681|52.5200|42.1784|
+|FastMatting|35.8735|0.0492|48.9267|35.6183|
+|LearningBasedMatting|40.5506|0.0776|55.3923|40.5690|
+|RandomWalksMatting|54.6315|0.0962|69.8779|54.0870|

Matting/configs/benchmarks/PPM/closeform.yml

+
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: ResizeByShort
+      short_size: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: True
+
+model:
+  type: CloseFormMatting
+

Matting/configs/benchmarks/PPM/fast.yml

+
+_base_: closeform.yml
+
+model:
+  type: FastMatting
+

Matting/configs/benchmarks/PPM/knn.yml

+
+_base_: closeform.yml
+
+model:
+  type: KNNMatting
+

Matting/configs/benchmarks/PPM/learningbased.yml

+
+_base_: closeform.yml
+
+model:
+  type: LearningBasedMatting
+

Matting/configs/benchmarks/PPM/randomwalks.yml

+
+_base_: closeform.yml
+
+model:
+  type: RandomWalksMatting
+

Matting/configs/dim/dim-vgg16.yml

+batch_size: 16
+iters: 100000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: RandomCropByAlpha
+      crop_size: [[320, 320], [480, 480], [640, 640]]
+    - type: Resize
+      target_size: [320, 320]
+    - type: RandomDistort
+    - type: RandomBlur
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+  get_trimap: True
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitLong
+      max_long: 3840
+    - type: Normalize
+  mode: val
+  get_trimap: True
+
+model:
+  type: DIM
+  backbone:
+    type: VGG16
+    input_channels: 4
+    pretrained: https://paddleseg.bj.bcebos.com/matting/models/DIM_VGG16_pretrained/model.pdparams
+  pretrained: Null
+
+optimizer:
+  type: adam
+
+learning_rate:
+  value: 0.001

Matting/configs/human_matting/human_matting-resnet34_vd.yml

+batch_size: 4
+iters: 50000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: RandomResize
+      size: [2048, 2048]
+      scale: [0.3, 1.5]
+    - type: RandomCrop
+      crop_size: [2048, 2048]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomHorizontalFlip
+    - type: Padding
+      target_size: [2048, 2048]
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: ResizeByShort
+      short_size: 2048
+    - type: ResizeToIntMult
+      mult_int: 128
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  type: HumanMatting
+  backbone:
+    type: ResNet34_vd
+    pretrained: https://paddleseg.bj.bcebos.com/matting/models/ResNet34_vd_pretrained/model.pdparams
+  pretrained: Null
+  if_refine: True
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 4.0e-5
+
+lr_scheduler:
+  type: PiecewiseDecay
+  boundaries: [30000, 40000]
+  values: [0.001, 0.0001, 0.00001]

Matting/configs/modnet/modnet-hrnet_w18.yml

+_base_: modnet-mobilenetv2.yml
+model:
+  backbone:
+    type: HRNet_W18
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w18_ssld.tar.gz

Matting/configs/modnet/modnet-mobilenetv2.yml

+batch_size: 16
+iters: 100000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: RandomCrop
+      crop_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: ResizeByShort
+      short_size: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  type: MODNet
+  backbone:
+    type: MobileNetV2
+    pretrained: https://paddleseg.bj.bcebos.com/matting/models/MobileNetV2_pretrained/model.pdparams
+  pretrained: Null
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 4.0e-5
+
+lr_scheduler:
+  type: PiecewiseDecay
+  boundaries: [40000, 80000]
+  values: [0.02, 0.002, 0.0002]

Matting/configs/modnet/modnet-resnet50_vd.yml

+_base_: modnet-mobilenetv2.yml
+model:
+  backbone:
+    type: ResNet50_vd
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet50_vd_ssld_v2.tar.gz

Matting/configs/ppmatting/README.md

+# PP-Matting: High-Accuracy Natural Image Matting
+
+## Reference
+
+> Chen G, Liu Y, Wang J, et al. PP-Matting: High-Accuracy Natural Image Matting[J]. arXiv preprint arXiv:2204.09433, 2022.
+
+## Performance
+
+### Composition-1k
+
+| Model | Backbone | Resolution | Training Iters | SAD $\downarrow$ | MSE $\downarrow$ | Grad $\downarrow$ | Conn $\downarrow$ | Links |
+|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
+|PP-Matting|HRNet_W48|512x512|300000|46.22|0.005|22.69|45.40|[model](https://paddleseg.bj.bcebos.com/matting/models/ppmatting-hrnet_w48-composition.pdparams)|
+
+
+### Distinctions-646
+
+| Model | Backbone | Resolution | Training Iters | SAD $\downarrow$ | MSE $\downarrow$ | Grad $\downarrow$ | Conn $\downarrow$ | Links |
+|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
+|PP-Matting|HRNet_W48|512x512|300000|40.69|0.009|43.91|40.56|[model](https://paddleseg.bj.bcebos.com/matting/models/ppmatting-hrnet_w48-distinctions.pdparams)|

Matting/configs/ppmatting/ppmatting-hrnet_w18-human_1024.yml

+_base_: 'ppmatting-hrnet_w18-human_512.yml'
+
+
+train_dataset:
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 1024
+    - type: RandomCrop
+      crop_size: [1024, 1024]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomNoise
+      prob: 0.5
+    - type: RandomReJpeg
+      prob: 0.2
+    - type: RandomHorizontalFlip
+    - type: Normalize
+
+val_dataset:
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 1024
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+

Matting/configs/ppmatting/ppmatting-hrnet_w18-human_512.yml

+_base_: 'ppmatting-hrnet_w48-distinctions.yml'
+
+batch_size: 4
+iters: 200000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: RandomCrop
+      crop_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomNoise
+      prob: 0.5
+    - type: RandomReJpeg
+      prob: 0.2
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  backbone:
+    type: HRNet_W18
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w18_ssld.tar.gz

Matting/configs/ppmatting/ppmatting-hrnet_w48-composition.yml

+_base_: 'ppmatting-hrnet_w48-distinctions.yml'
+
+train_dataset:
+  dataset_root: data/matting/Composition-1k
+
+val_dataset:
+  dataset_root: data/matting/Composition-1k
\ No newline at end of file

Matting/configs/ppmatting/ppmatting-hrnet_w48-distinctions.yml

+batch_size: 4
+iters: 300000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/matting/Distinctions-646
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: Padding
+      target_size: [512, 512]
+    - type: RandomCrop
+      crop_size: [[512, 512],[640, 640], [800, 800]]
+    - type: Resize
+      target_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+  separator: '|'
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/matting/Distinctions-646
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 1536
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+  separator: '|'
+
+model:
+  type: PPMatting
+  backbone:
+    type: HRNet_W48
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w48_ssld.tar.gz
+  pretrained: Null
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 4.0e-5
+
+lr_scheduler:
+  type: PolynomialDecay
+  learning_rate: 0.01
+  end_lr: 0
+  power: 0.9
\ No newline at end of file

Matting/configs/ppmattingv2/ppmattingv2-stdc1-human_512.yml

+batch_size: 16  # total batch size: 16
+iters: 100000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: RandomCrop
+      crop_size: [512, 512]
+    - type: Padding
+      target_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomSharpen
+      prob: 0.2
+    - type: RandomNoise
+      prob: 0.5
+    - type: RandomReJpeg
+      prob: 0.2
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  type: PPMattingV2
+  backbone:
+    type: STDC1
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/PP_STDCNet1.tar.gz
+  decoder_channels: [128, 96, 64, 32, 16]
+  head_channel: 8
+  dpp_output_channel: 256
+  dpp_merge_type: add
+  
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 5.0e-4
+
+lr_scheduler:
+  type: PolynomialDecay
+  learning_rate: 0.01
+  end_lr: 0
+  power: 0.9
+  warmup_iters: 1000
+  warmup_start_lr: 1.0e-5
+

Matting/configs/quick_start/modnet-mobilenetv2.yml

+batch_size: 1
+iters: 1000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: RandomCrop
+      crop_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: ResizeByShort
+      short_size: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  type: MODNet
+  backbone:
+    type: MobileNetV2
+    pretrained: https://paddleseg.bj.bcebos.com/matting/models/MobileNetV2_pretrained/model.pdparams
+  pretrained: Null
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 4.0e-5
+
+lr_scheduler:
+  type: PiecewiseDecay
+  boundaries: [40000, 80000]
+  values: [0.02, 0.002, 0.0002]

Matting/configs/quick_start/ppmattingv2-stdc1-human_512.yml

+batch_size: 1 
+iters: 1000
+
+train_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  train_file: train.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: RandomCrop
+      crop_size: [512, 512]
+    - type: Padding
+      target_size: [512, 512]
+    - type: RandomDistort
+    - type: RandomBlur
+      prob: 0.1
+    - type: RandomSharpen
+      prob: 0.2
+    - type: RandomNoise
+      prob: 0.5
+    - type: RandomReJpeg
+      prob: 0.2
+    - type: RandomHorizontalFlip
+    - type: Normalize
+  mode: train
+
+val_dataset:
+  type: MattingDataset
+  dataset_root: data/PPM-100
+  val_file: val.txt
+  transforms:
+    - type: LoadImages
+    - type: LimitShort
+      max_short: 512
+    - type: ResizeToIntMult
+      mult_int: 32
+    - type: Normalize
+  mode: val
+  get_trimap: False
+
+model:
+  type: PPMattingV2
+  backbone:
+    type: STDC1
+    pretrained: https://bj.bcebos.com/paddleseg/dygraph/PP_STDCNet1.tar.gz
+  decoder_channels: [128, 96, 64, 32, 16]
+  head_channel: 8
+  dpp_output_channel: 256
+  dpp_merge_type: add
+  
+
+optimizer:
+  type: sgd
+  momentum: 0.9
+  weight_decay: 5.0e-4
+
+lr_scheduler:
+  type: PolynomialDecay
+  learning_rate: 0.01
+  end_lr: 0
+  power: 0.9
+  warmup_iters: 100
+  warmup_start_lr: 1.0e-5
+