[Dygraph] fix modelzoo link (#2100)

* fix modelzoo link

* fix config, remove some faster mask modelzoo

* fix readme

dygraph/README.md

@@ -12,12 +12,14 @@
 - SSD
 - FCOS
 - SOLOv2
+- PP-YOLO
+- TTFNet
 
 扩展特性：
 
-- [x] **Synchronized Batch Norm**
+- [√] **Synchronized Batch Norm**
+- [√] **Modulated Deformable Convolution**
 - [x] **Group Norm**
-- [x] **Modulated Deformable Convolution**
 - [x] **Deformable PSRoI Pooling**
 
 ## 文档教程

dygraph/configs/cascade_rcnn/README.md

@@ -4,8 +4,8 @@
 
 | 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
 | :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50-FPN         | Cascade Faster         |    1    |   1x    |     ----     |  41.1  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/cascade_faster_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN         | Cascade Mask         |    1    |   1x    |     ----     |  41.6  |    35.3    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/cascade_mask_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Cascade Faster         |    1    |   1x    |     ----     |  41.1  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/cascade_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Cascade Mask         |    1    |   1x    |     ----     |  41.6  |    35.3    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/cascade_mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.yml) |
 
 ## Citations
 ```

dygraph/configs/dcn/README.md

@@ -3,13 +3,13 @@
 | 骨架网络             | 网络类型           | 卷积    | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | Mask AP |                           下载                           | 配置文件 |
 | :------------------- | :------------- | :-----: |:--------: | :-----: | :-----------: |:----: | :-----: | :----------------------------------------------------------: | :----: |
 | ResNet50-FPN         | Faster         | c3-c5   |    2      |   1x    |    -     |  41.3  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_r50_fpn_1x_coco.yml) |
-| ResNet50-vd-FPN      | Faster         | c3-c5   |    2      |   2x    |    -     |  42.4  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_r50_vd_fpn_2x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x.yml) |
-| ResNet101-vd-FPN     | Faster         | c3-c5   |    2      |   1x    |    -     |  44.1  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_r101_vd_fpn_1x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x.yml) |
-| ResNeXt101-vd-FPN    | Faster         | c3-c5   |    1      |   1x    |    -     |  45.2  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x.yml) |
-| ResNet50-FPN         | Mask           | c3-c5   |    1      |   1x    |    -     |  41.9  |  37.3   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r50_fpn_1x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r50_fpn_1x.yml) |
-| ResNet50-vd-FPN      | Mask           | c3-c5   |    1      |   2x    |    -     |  42.9  |  38.0   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r50_vd_fpn_2x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x.yml) |
-| ResNet101-vd-FPN     | Mask           | c3-c5   |    1      |   1x    |    -     |  44.6  |  39.2   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r101_vd_fpn_1x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x.yml) |
-| ResNeXt101-vd-FPN    | Mask           | c3-c5   |    1      |   1x    |     -    |  46.2  |  40.4   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x.yml) |
+| ResNet50-vd-FPN      | Faster         | c3-c5   |    2      |   2x    |    -     |  42.4  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-vd-FPN     | Faster         | c3-c5   |    2      |   1x    |    -     |  44.1  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Faster         | c3-c5   |    1      |   1x    |    -     |  45.2  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) |[配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Mask           | c3-c5   |    1      |   1x    |    -     |  41.9  |  37.3   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r50_fpn_1x_coco.yml) |
+| ResNet50-vd-FPN      | Mask           | c3-c5   |    1      |   2x    |    -     |  42.9  |  38.0   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r50_vd_fpn_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r50_vd_fpn_2x_coco.yml) |
+| ResNet101-vd-FPN     | Mask           | c3-c5   |    1      |   1x    |    -     |  44.6  |  39.2   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_r101_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Mask           | c3-c5   |    1      |   1x    |     -    |  46.2  |  40.4   | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml) |
 
 **注意事项:**  
 

dygraph/configs/dcn/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml

@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final.pdparams
+weights: output/faster_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
   # for ResNeXt: groups, base_width, base_channels

dygraph/configs/dcn/mask_rcnn_dcn_r101_vd_fpn_1x_coco.yml

@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
-weights: output/mask_rcnn_dcn_r101_fpn_1x_coco/model_final.pdparams
+weights: output/mask_rcnn_dcn_r101_fpn_1x_coco/model_final
 
 ResNet:
   # index 0 stands for res2

dygraph/configs/dcn/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco.yml

@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_dcn_r50_fpn_1x_coco.yml',
 ]
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final.pdparams
+weights: output/mask_rcnn_dcn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
   # for ResNeXt: groups, base_width, base_channels

dygraph/configs/faster_rcnn/README.md

@@ -2,13 +2,12 @@
 
 ## Model Zoo
 
-| 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
-| :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50             | Faster         |    1    |   1x    |     ----     |  35.1  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml) |
-| ResNet50-FPN         | Faster         |    1    |   1x    |     ----     |  37.0  |    -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml) |
-| ResNet34-FPN         | Faster         |    2    |   1x    |     ----     |  36.7  |   -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r34_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/faster_rcnn/faster_rcnn_r34_fpn_1x_coco.yml) |
-| ResNet101            | Faster         |    1    |   1x    |     ----     |  38.3  |   -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r101_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/faster_rcnn/faster_rcnn_r101_1x_coco.yml) |
-| ResNet101-FPN        | Faster         |    1    |   1x    |     ----     |  38.7  |   -    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r101_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/faster_rcnn/faster_rcnn_r101_fpn_1x_coco.yml) |
+| 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
+| :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
+| ResNet50             | Faster         |    1    |   1x    |     ----     |  35.1  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_r50_1x_coco.yml) |
+| ResNet34-vd-FPN      | Faster         |    2    |   1x    |     ----     |  37.5  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r34_vd_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_r34_vd_fpn_1x_coco.yml) |
+| ResNet50-FPN         | Faster         |    1    |   1x    |     ----     |  37.0  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml) |
+| ResNeXt101-vd-FPN    | Faster         |    1    |   1x    |     ----     |  42.3  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml) |
 
 ## Citations
 ```

dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_1x_coco.yml

@@ -2,7 +2,7 @@ _BASE_: [
   'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
-weights: output/faster_rcnn_r101_vd_fpn_1x_coco/model_final.pdparams
+weights: output/faster_rcnn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
   # index 0 stands for res2

dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_1x_coco.yml → dygraph/configs/faster_rcnn/faster_rcnn_r101_vd_fpn_2x_coco.yml

 _BASE_: [
-  'faster_rcnn_r50_1x_coco.yml',
+  'faster_rcnn_r50_fpn_1x_coco.yml',
 ]
-
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
-weights: output/faster_rcnn_r101_vd_1x_coco/model_final
+weights: output/faster_rcnn_r101_vd_fpn_2x_coco/model_final
 
 ResNet:
   # index 0 stands for res2
@@ -14,13 +13,13 @@ ResNet:
   return_idx: [0,1,2,3]
   num_stages: 4
 
-epoch: 12
+epoch: 24
 LearningRate:
   base_lr: 0.01
   schedulers:
   - !PiecewiseDecay
     gamma: 0.1
-    milestones: [8, 11]
+    milestones: [16, 22]
   - !LinearWarmup
     start_factor: 0.3333333333333333
     steps: 1000

dygraph/configs/faster_rcnn/faster_rcnn_r50_vd_1x_coco.yml

+_BASE_: [
+  'faster_rcnn_r50_1x_coco.yml',
+]
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
+weights: output/faster_rcnn_r50_vd_1x_coco/model_final
+
+ResNet:
+  # index 0 stands for res2
+  depth: 50
+  variant: d
+  norm_type: bn
+  freeze_at: 0
+  return_idx: [0,1,2,3]
+  num_stages: 4

dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_1x_coco.yml

@@ -3,7 +3,7 @@ _BASE_: [
 ]
 
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/faster_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final.pdparams
+weights: output/faster_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
   # for ResNeXt: groups, base_width, base_channels

dygraph/configs/faster_rcnn/faster_rcnn_x101_vd_64x4d_fpn_2x_coco.yml

-_BASE_: [
-  'faster_rcnn_r50_fpn_1x_coco.yml',
-]
-
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/faster_rcnn_x101_vd_64x4d_fpn_2x_coco/model_final.pdparams
-
-ResNet:
-  # for ResNeXt: groups, base_width, base_channels
-  depth: 101
-  groups: 64
-  base_width: 4
-  base_channels: 64
-  variant: d
-  norm_type: bn
-  freeze_at: 0
-  return_idx: [0,1,2,3]
-  num_stages: 4
-
-epoch: 24
-LearningRate:
-  base_lr: 0.01
-  schedulers:
-  - !PiecewiseDecay
-    gamma: 0.1
-    milestones: [16, 22]
-  - !LinearWarmup
-    start_factor: 0.1
-    steps: 1000

dygraph/configs/fcos/README.md

@@ -12,9 +12,9 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje
 
 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50-FPN    | FCOS           |    2    |   1x      |     ----     |  39.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/fcos/fcos_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN    | FCOS+DCN       |    2    |   1x      |     ----     |  44.3  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) |
-| ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  42.0  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) |
+| ResNet50-FPN    | FCOS           |    2    |   1x      |     ----     |  39.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/fcos/fcos_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN    | FCOS+DCN       |    2    |   1x      |     ----     |  44.3  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_dcn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/fcos/fcos_dcn_r50_fpn_1x_coco.yml) |
+| ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  42.0  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/fcos_r50_fpn_multiscale_2x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/fcos/fcos_r50_fpn_multiscale_2x_coco.yml) |
 
 **Notes:**
 

dygraph/configs/mask_rcnn/README.md

@@ -2,10 +2,10 @@
 
 ## Model Zoo
 
-| 骨架网络             | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
-| :------------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
-| ResNet50             | Mask         |    1    |   1x    |     ----     |  36.4  |    31.9    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/mask_rcnn_r50_1x_coco.yml) |
-| ResNet50-FPN         | Mask         |    1    |   1x    |     ----     |  38.3  |    34.5    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/mask_rcnn_r50_fpn_1x_coco.yml) |
+| 骨架网络              | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP | Mask AP |                           下载                          | 配置文件 |
+| :------------------- | :------------| :-----: | :-----: | :------------: | :-----: | :-----: | :-----------------------------------------------------: | :-----: |
+| ResNet50             | Mask         |    1    |   1x    |     ----     |  36.4  |    31.9    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_r50_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/mask_rcnn/mask_rcnn_r50_1x_coco.yml) |
+| ResNet50-FPN         | Mask         |    1    |   1x    |     ----     |  38.3  |    34.5    | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/mask_rcnn_r50_fpn_1x_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml) |
 
 ## Citations
 ```

dygraph/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.yml

@@ -2,7 +2,7 @@ _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
-weights: output/mask_rcnn_r101_fpn_1x_coco/model_final.pdparams
+weights: output/mask_rcnn_r101_fpn_1x_coco/model_final
 
 ResNet:
   # index 0 stands for res2

dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_2x_coco.yml → dygraph/configs/mask_rcnn/mask_rcnn_r101_vd_fpn_1x_coco.yml

 _BASE_: [
   'mask_rcnn_r50_fpn_1x_coco.yml',
 ]
-
-pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/mask_rcnn_x101_vd_64x4d_fpn_2x_coco/model_final.pdparams
+pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_pretrained.tar
+weights: output/mask_rcnn_r101_vd_fpn_1x_coco/model_final
 
 ResNet:
-  # for ResNeXt: groups, base_width, base_channels
+  # index 0 stands for res2
   depth: 101
   variant: d
-  groups: 64
-  base_width: 4
-  base_channels: 64
   norm_type: bn
   freeze_at: 0
   return_idx: [0,1,2,3]
   num_stages: 4
-
-epoch: 24
-LearningRate:
-  base_lr: 0.01
-  schedulers:
-  - !PiecewiseDecay
-    gamma: 0.1
-    milestones: [16, 22]
-  - !LinearWarmup
-    start_factor: 0.1
-    steps: 1000

dygraph/configs/mask_rcnn/mask_rcnn_x101_vd_64x4d_fpn_1x_coco.yml

@@ -3,7 +3,7 @@ _BASE_: [
 ]
 
 pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNeXt101_vd_64x4d_pretrained.tar
-weights: output/mask_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final.pdparams
+weights: output/mask_rcnn_x101_vd_64x4d_fpn_1x_coco/model_final
 
 ResNet:
   # for ResNeXt: groups, base_width, base_channels

dygraph/configs/solov2/README.md

@@ -19,8 +19,8 @@ SOLOv2 (Segmenting Objects by Locations) is a fast instance segmentation framewo
 | BlendMask | R50-FPN | True        |   3x    |     37.8        |  13.5  | V100 |   -  |  -  |
 | SOLOv2 (Paper) | R50-FPN | False        |   1x    |     34.8        |  18.5  | V100 |   -  |  -  |
 | SOLOv2 (Paper) | X101-DCN-FPN | True        |   3x    |     42.4        |  5.9  | V100 |   -  |  -  |
-| SOLOv2 | R50-FPN                 |  False                |   1x    |    35.5         |  21.9     | V100 |  [model](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/solov2_r50_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/solov2/solov2_r50_fpn_1x_coco.yml) |
-| SOLOv2 | R50-FPN                 |  True                |   3x    |     37.9         |   21.9    | V100 |  [model](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/solov2_r50_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/solov2/solov2_r50_fpn_3x_coco.yml) |
+| SOLOv2 | R50-FPN                 |  False                |   1x    |    35.5         |  21.9     | V100 |  [model](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/solov2_r50_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/solov2/solov2_r50_fpn_1x_coco.yml) |
+| SOLOv2 | R50-FPN                 |  True                |   3x    |     37.9         |   21.9    | V100 |  [model](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/solov2_r50_fpn_3x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/solov2/solov2_r50_fpn_3x_coco.yml) |
 
 **Notes:**
 

dygraph/configs/ssd/README.md

@@ -6,8 +6,8 @@
 
 | 骨架网络        | 网络类型       | 每张GPU图片个数 | 学习率策略 |推理时间(fps) | Box AP |                           下载                          | 配置文件 |
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
-| VGG             | SSD            |    8    |   240e    |     ----     |  78.2  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/ssd_vgg16_300_240e_voc.yml) |
-| MobileNet v1    | SSD            |    32    |   120e    |     ----     |  73.3  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/ssd_mobilenet_v1_300_120e_voc.yml) |
+| VGG             | SSD            |    8    |   240e    |     ----     |  78.2  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ssd_vgg16_300_240e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/ssd/ssd_vgg16_300_240e_voc.yml) |
+| MobileNet v1    | SSD            |    32    |   120e    |     ----     |  73.3  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ssd_mobilenet_v1_300_120e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/ssd/ssd_mobilenet_v1_300_120e_voc.yml) |
 
 **注意：** SSD-VGG使用4GPU在总batch size为32下训练240个epoch。SSD-MobileNetv1使用2GPU在总batch size为64下训练120周期。
 

dygraph/configs/ssd/_base_/ssd_mobilenet_reader.yml

@@ -13,7 +13,7 @@ TrainReader:
     - PadBoxOp: {num_max_boxes: 90}
   batch_transforms:
     - NormalizeImageOp: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
-    - Permute: {}
+    - PermuteOp: {}
   batch_size: 32
   shuffle: true
   drop_last: true
@@ -24,7 +24,7 @@ EvalReader:
     - DecodeOp: {}
     - ResizeOp: {target_size: [300, 300], keep_ratio: False, interp: 1}
     - NormalizeImageOp: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
-    - Permute: {}
+    - PermuteOp: {}
   batch_size: 1
   drop_empty: false
 
@@ -36,5 +36,5 @@ TestReader:
     - DecodeOp: {}
     - ResizeOp: {target_size: [300, 300], keep_ratio: False, interp: 1}
     - NormalizeImageOp: {mean: [127.5, 127.5, 127.5], std: [127.502231, 127.502231, 127.502231], is_scale: false}
-    - Permute: {}
+    - PermuteOp: {}
   batch_size: 1

dygraph/configs/yolov3/README.md

@@ -9,26 +9,26 @@
 | DarkNet53(paper)  | 608         |    8    |   270e    |     ----     |  33.0  |    -   |    -   |
 | DarkNet53(paper)  | 416         |    8    |   270e    |     ----     |  31.0  |    -   |    -   |
 | DarkNet53(paper)  | 320         |    8    |   270e    |     ----     |  28.2  |    -   |    -   |
-| DarkNet53         | 608         |    8    |   270e    |     ----     |  39.0  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_darknet53_270e_coco.yml) |
-| DarkNet53         | 416         |    8    |   270e    |     ----     |  37.5  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_darknet53_270e_coco.yml) |
-| DarkNet53         | 320         |    8    |   270e    |     ----     |  34.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_darknet53_270e_coco.yml) |
-| MobileNet-V1         | 608         |    8    |   270e    |     ----     |  28.8  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V1         | 416         |    8    |   270e    |     ----     |  28.7  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V1         | 320         |    8    |   270e    |     ----     |  26.5  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_coco.yml) |
-| MobileNet-V3         | 608         |    8    |   270e    |     ----     |  31.4  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_coco.yml) |
-| MobileNet-V3         | 416         |    8    |   270e    |     ----     |  29.7  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_coco.yml) |
-| MobileNet-V3         | 320         |    8    |   270e    |     ----     |  26.9  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| DarkNet53         | 608         |    8    |   270e    |     ----     |  39.0  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+| DarkNet53         | 416         |    8    |   270e    |     ----     |  37.5  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+| DarkNet53         | 320         |    8    |   270e    |     ----     |  34.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_darknet53_270e_coco.yml) |
+| MobileNet-V1         | 608         |    8    |   270e    |     ----     |  28.8  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V1         | 416         |    8    |   270e    |     ----     |  28.7  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V1         | 320         |    8    |   270e    |     ----     |  26.5  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_coco.yml) |
+| MobileNet-V3         | 608         |    8    |   270e    |     ----     |  31.4  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| MobileNet-V3         | 416         |    8    |   270e    |     ----     |  29.7  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
+| MobileNet-V3         | 320         |    8    |   270e    |     ----     |  26.9  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_coco.yml) |
 
 ### YOLOv3 on Pasacl VOC
 
 | 骨架网络     | 输入尺寸 | 每张GPU图片个数 | 学习率策略 |推理时间(fps)| Box AP | 下载 | 配置文件 |
 | :----------- | :--: | :-----: | :-----: |:------------: |:----: | :-------: | :----: |
-| MobileNet-V1 | 608  |    8    |   270e  |      -        |  75.1  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V1 | 416  |    8    |   270e  |      -        |  76.1  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V1 | 320  |    8    |   270e  |      -        |  73.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v1_270e_voc.yml) |
-| MobileNet-V3 | 608  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_voc.yml) |
-| MobileNet-V3 | 416  |    8    |   270e  |      -        |  78.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_voc.yml) |
-| MobileNet-V3 | 320  |    8    |   270e  |      -        |  76.4  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V1 | 608  |    8    |   270e  |      -        |  75.1  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V1 | 416  |    8    |   270e  |      -        |  76.1  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V1 | 320  |    8    |   270e  |      -        |  73.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v1_270e_voc.yml) |
+| MobileNet-V3 | 608  |    8    |   270e  |      -        |  79.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V3 | 416  |    8    |   270e  |      -        |  78.6  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
+| MobileNet-V3 | 320  |    8    |   270e  |      -        |  76.4  | [下载链接](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v3_large_270e_voc.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/master/dygraph/configs/yolov3/yolov3_mobilenet_v3_large_270e_voc.yml) |
 
 **注意：** YOLOv3均使用8GPU训练，训练270个epoch
 

dygraph/docs/MODEL_ZOO_cn.md

@@ -55,3 +55,11 @@ Paddle提供基于ImageNet的骨架网络预训练模型。所有预训练模型
 ### SOLOv2
 
 请参考[SOLOv2](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/solov2/)
+
+### PP-YOLO
+
+请参考[PP-YOLO](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/ppyolo/)
+
+### TTFNet
+
+请参考[TTFNet](https://github.com/PaddlePaddle/PaddleDetection/tree/dygraph/configs/ttfnet/)

dygraph/ppdet/engine/export_utils.py

@@ -33,8 +33,8 @@ TRT_MIN_SUBGRAPH = {
     'RetinaNet': 40,
     'EfficientDet': 40,
     'Face': 3,
-    'TTFNet': 40,
-    'FCOS': 40,
+    'TTFNet': 3,
+    'FCOS': 16,
     'SOLOv2': 60,
 }