更换文档检测模型

paddle_detection/configs/solov2/_base_/optimizer_1x.yml

@@ -0,0 +1,19 @@
+epoch: 12
+
+LearningRate:
+  base_lr: 0.01
+  schedulers:
+  - !PiecewiseDecay
+    gamma: 0.1
+    milestones: [8, 11]
+  - !LinearWarmup
+    start_factor: 0.
+    steps: 1000
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.0001
+    type: L2

paddle_detection/configs/solov2/_base_/solov2_light_reader.yml

@@ -0,0 +1,47 @@
+worker_num: 2
+TrainReader:
+  sample_transforms:
+  - Decode: {}
+  - Poly2Mask: {}
+  - RandomDistort: {}
+  - RandomCrop: {}
+  - RandomResize: {interp: 1,
+                     target_size: [[352, 852], [384, 852], [416, 852], [448, 852], [480, 852], [512, 852]],
+                     keep_ratio: True}
+  - RandomFlip: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  - Gt2Solov2Target: {num_grids: [40, 36, 24, 16, 12],
+                        scale_ranges: [[1, 96], [48, 192], [96, 384], [192, 768], [384, 2048]],
+                        coord_sigma: 0.2}
+  batch_size: 2
+  shuffle: true
+  drop_last: true
+
+
+EvalReader:
+  sample_transforms:
+  - Decode: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Resize: {interp: 1, target_size: [512, 852], keep_ratio: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false
+
+
+TestReader:
+  sample_transforms:
+  - Decode: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Resize: {interp: 1, target_size: [512, 852], keep_ratio: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false

paddle_detection/configs/solov2/_base_/solov2_r50_fpn.yml

@@ -0,0 +1,40 @@
+architecture: SOLOv2
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams
+
+SOLOv2:
+  backbone: ResNet
+  neck: FPN
+  solov2_head: SOLOv2Head
+  mask_head: SOLOv2MaskHead
+
+ResNet:
+  depth: 50
+  freeze_at: 0
+  return_idx: [0,1,2,3]
+  num_stages: 4
+
+FPN:
+  out_channel: 256
+
+SOLOv2Head:
+  seg_feat_channels: 512
+  stacked_convs: 4
+  num_grids: [40, 36, 24, 16, 12]
+  kernel_out_channels: 256
+  solov2_loss: SOLOv2Loss
+  mask_nms: MaskMatrixNMS
+
+SOLOv2MaskHead:
+  mid_channels: 128
+  out_channels: 256
+  start_level: 0
+  end_level: 3
+
+SOLOv2Loss:
+  ins_loss_weight: 3.0
+  focal_loss_gamma: 2.0
+  focal_loss_alpha: 0.25
+
+MaskMatrixNMS:
+  pre_nms_top_n: 500
+  post_nms_top_n: 100

paddle_detection/configs/solov2/_base_/solov2_reader.yml

@@ -0,0 +1,43 @@
+worker_num: 8
+TrainReader:
+  sample_transforms:
+  - Decode: {}
+  - Poly2Mask: {}
+  - Resize: {interp: 1, target_size: [800, 1333], keep_ratio: True}
+  - RandomFlip: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  - Gt2Solov2Target: {num_grids: [40, 36, 24, 16, 12],
+                        scale_ranges: [[1, 96], [48, 192], [96, 384], [192, 768], [384, 2048]],
+                        coord_sigma: 0.2}
+  batch_size: 2
+  shuffle: true
+  drop_last: true
+
+
+EvalReader:
+  sample_transforms:
+  - Decode: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Resize: {interp: 1, target_size: [800, 1333], keep_ratio: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false
+
+
+TestReader:
+  sample_transforms:
+  - Decode: {}
+  - NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
+  - Resize: {interp: 1, target_size: [800, 1333], keep_ratio: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 32}
+  batch_size: 1
+  shuffle: false
+  drop_last: false