fix solov2 with_background & from_config (#2205)

dygraph/configs/solov2/_base_/solov2_r50_fpn.yml

@@ -9,7 +9,6 @@ SOLOv2:
   mask_head: SOLOv2MaskHead
 
 ResNet:
-  # index 0 stands for res2
   depth: 50
   norm_type: bn
   freeze_at: 0
@@ -17,11 +16,7 @@ ResNet:
   num_stages: 4
 
 FPN:
-  in_channels: [256, 512, 1024, 2048]
   out_channel: 256
-  min_level: 0
-  max_level: 4
-  spatial_scale: [0.25, 0.125, 0.0625, 0.03125]
 
 SOLOv2Head:
   seg_feat_channels: 512
@@ -32,7 +27,6 @@ SOLOv2Head:
   mask_nms: MaskMatrixNMS
 
 SOLOv2MaskHead:
-  in_channels: 256
   mid_channels: 128
   out_channels: 256
   start_level: 0

dygraph/ppdet/data/transform/batch_operator.py

@@ -644,7 +644,7 @@ class Gt2Solov2TargetOp(BaseOperator):
         max_ins_num = [0] * len(self.num_grids)
         for sample in samples:
             gt_bboxes_raw = sample['gt_bbox']
-            gt_labels_raw = sample['gt_class']
+            gt_labels_raw = sample['gt_class'] + 1
             im_c, im_h, im_w = sample['image'].shape[:]
             gt_masks_raw = sample['gt_segm'].astype(np.uint8)
             mask_feat_size = [

dygraph/ppdet/modeling/architectures/solov2.py

@@ -18,7 +18,7 @@ from __future__ import print_function
 
 import paddle
 
-from ppdet.core.workspace import register
+from ppdet.core.workspace import register, create
 from .meta_arch import BaseArch
 
 __all__ = ['SOLOv2']
@@ -37,7 +37,6 @@ class SOLOv2(BaseArch):
     """
 
     __category__ = 'architecture'
-    __inject__ = ['backbone', 'neck', 'solov2_head', 'mask_head']
 
     def __init__(self, backbone, solov2_head, mask_head, neck=None):
         super(SOLOv2, self).__init__()
@@ -46,11 +45,28 @@ class SOLOv2(BaseArch):
         self.solov2_head = solov2_head
         self.mask_head = mask_head
 
+    @classmethod
+    def from_config(cls, cfg, *args, **kwargs):
+        backbone = create(cfg['backbone'])
+
+        kwargs = {'input_shape': backbone.out_shape}
+        neck = create(cfg['neck'], **kwargs)
+
+        kwargs = {'input_shape': neck.out_shape}
+        solov2_head = create(cfg['solov2_head'], **kwargs)
+        mask_head = create(cfg['mask_head'], **kwargs)
+
+        return {
+            'backbone': backbone,
+            'neck': neck,
+            'solov2_head': solov2_head,
+            'mask_head': mask_head,
+        }
+
     def model_arch(self):
         body_feats = self.backbone(self.inputs)
 
-        if self.neck is not None:
-            body_feats, spatial_scale = self.neck(body_feats)
+        body_feats = self.neck(body_feats)
 
         self.seg_pred = self.mask_head(body_feats)
 

dygraph/ppdet/modeling/heads/solov2_head.py

@@ -190,7 +190,7 @@ class SOLOv2Head(nn.Layer):
         self.num_classes = num_classes
         self.in_channels = in_channels
         self.seg_num_grids = num_grids
-        self.cate_out_channels = self.num_classes - 1
+        self.cate_out_channels = self.num_classes
         self.seg_feat_channels = seg_feat_channels
         self.stacked_convs = stacked_convs
         self.kernel_out_channels = kernel_out_channels

dygraph/ppdet/py_op/post_process.py

@@ -87,7 +87,7 @@ def get_solov2_segm_res(results, image_id, num_id_to_cat_id_map):
         return None
     # for each sample
     for i in range(lengths - 1):
-        clsid = int(clsid_labels[i]) + 1
+        clsid = int(clsid_labels[i])
         catid = num_id_to_cat_id_map[clsid]
         score = float(clsid_scores[i])
         mask = segms[i]