enhance arg overwrite for picodet and ppyoloe (#7720)

configs/datasets/coco_detection.yml

@@ -2,20 +2,20 @@ metric: COCO
 num_classes: 80
 
 TrainDataset:
-  !COCODataSet
-    image_dir: train2017
-    anno_path: annotations/instances_train2017.json
-    dataset_dir: dataset/coco
-    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
+  name: COCODataSet
+  image_dir: train2017
+  anno_path: annotations/instances_train2017.json
+  dataset_dir: dataset/coco
+  data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
 
 EvalDataset:
-  !COCODataSet
-    image_dir: val2017
-    anno_path: annotations/instances_val2017.json
-    dataset_dir: dataset/coco
-    allow_empty: true
+  name: COCODataSet
+  image_dir: val2017
+  anno_path: annotations/instances_val2017.json
+  dataset_dir: dataset/coco
+  allow_empty: true
 
 TestDataset:
-  !ImageFolder
-    anno_path: annotations/instances_val2017.json # also support txt (like VOC's label_list.txt)
-    dataset_dir: dataset/coco # if set, anno_path will be 'dataset_dir/anno_path'
+  name: ImageFolder
+  anno_path: annotations/instances_val2017.json # also support txt (like VOC's label_list.txt)
+  dataset_dir: dataset/coco # if set, anno_path will be 'dataset_dir/anno_path'

configs/datasets/coco_instance.yml

@@ -2,19 +2,19 @@ metric: COCO
 num_classes: 80
 
 TrainDataset:
-  !COCODataSet
-    image_dir: train2017
-    anno_path: annotations/instances_train2017.json
-    dataset_dir: dataset/coco
-    data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_poly', 'is_crowd']
+  name: COCODataSet
+  image_dir: train2017
+  anno_path: annotations/instances_train2017.json
+  dataset_dir: dataset/coco
+  data_fields: ['image', 'gt_bbox', 'gt_class', 'gt_poly', 'is_crowd']
 
 EvalDataset:
-  !COCODataSet
-    image_dir: val2017
-    anno_path: annotations/instances_val2017.json
-    dataset_dir: dataset/coco
+  name: COCODataSet
+  image_dir: val2017
+  anno_path: annotations/instances_val2017.json
+  dataset_dir: dataset/coco
 
 TestDataset:
-  !ImageFolder
-    anno_path: annotations/instances_val2017.json # also support txt (like VOC's label_list.txt)
-    dataset_dir: dataset/coco # if set, anno_path will be 'dataset_dir/anno_path'
+  name: ImageFolder
+  anno_path: annotations/instances_val2017.json # also support txt (like VOC's label_list.txt)
+  dataset_dir: dataset/coco # if set, anno_path will be 'dataset_dir/anno_path'

configs/picodet/_base_/optimizer_300e.yml

@@ -3,9 +3,9 @@ epoch: 300
 LearningRate:
   base_lr: 0.32
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300
 

configs/picodet/legacy_model/_base_/optimizer_100e.yml

@@ -3,9 +3,9 @@ epoch: 100
 LearningRate:
   base_lr: 0.4
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 100
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300
 

configs/picodet/legacy_model/_base_/optimizer_300e.yml

@@ -3,9 +3,9 @@ epoch: 300
 LearningRate:
   base_lr: 0.4
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300
 

configs/picodet/picodet_l_416_coco_lcnet.yml

@@ -35,9 +35,9 @@ PicoHeadV2:
 LearningRate:
   base_lr: 0.12
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300
 

configs/picodet/picodet_m_320_coco_lcnet.yml

@@ -18,8 +18,8 @@ TrainReader:
 LearningRate:
   base_lr: 0.24
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300

configs/picodet/picodet_m_416_coco_lcnet.yml

@@ -18,8 +18,8 @@ TrainReader:
 LearningRate:
   base_lr: 0.24
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300

configs/picodet/picodet_xs_416_coco_lcnet.yml

@@ -38,8 +38,8 @@ TrainReader:
 LearningRate:
   base_lr: 0.28
   schedulers:
-  - !CosineDecay
+  - name: CosineDecay
     max_epochs: 300
-  - !LinearWarmup
+  - name: LinearWarmup
     start_factor: 0.1
     steps: 300

configs/ppyoloe/_base_/optimizer_300e.yml

@@ -3,9 +3,9 @@ epoch: 300
 LearningRate:
   base_lr: 0.01
   schedulers:
-    - !CosineDecay
+    - name: CosineDecay
       max_epochs: 360
-    - !LinearWarmup
+    - name: LinearWarmup
       start_factor: 0.
       epochs: 5
 

configs/ppyoloe/_base_/optimizer_36e_xpu.yml

@@ -3,9 +3,9 @@ epoch: 36
 LearningRate:
   base_lr: 0.00125
   schedulers:
-    - !CosineDecay
+    - name: CosineDecay
       max_epochs: 43
-    - !LinearWarmup
+    - name: LinearWarmup
       start_factor: 0.001
       steps: 2000
 

configs/ppyoloe/_base_/optimizer_400e.yml

@@ -3,9 +3,9 @@ epoch: 400
 LearningRate:
   base_lr: 0.01
   schedulers:
-    - !CosineDecay
+    - name: CosineDecay
       max_epochs: 480
-    - !LinearWarmup
+    - name: LinearWarmup
       start_factor: 0.
       epochs: 5
 

configs/ppyoloe/_base_/optimizer_60e.yml

@@ -3,9 +3,9 @@ epoch: 60
 LearningRate:
   base_lr: 0.001
   schedulers:
-    - !CosineDecay
+    - name: CosineDecay
       max_epochs: 72
-    - !LinearWarmup
+    - name: LinearWarmup
       start_factor: 0.
       epochs: 1
 

configs/ppyoloe/_base_/optimizer_80e.yml

@@ -3,9 +3,9 @@ epoch: 80
 LearningRate:
   base_lr: 0.001
   schedulers:
-    - !CosineDecay
+    - name: CosineDecay
       max_epochs: 96
-    - !LinearWarmup
+    - name: LinearWarmup
       start_factor: 0.
       epochs: 5