Rename filename in dygraph/ppdet/modeling and update changelog. (#1935)

* Rename dir name in modeling

* Update changelog

docs/CHANGELOG.md

@@ -2,6 +2,20 @@
 
 ## 最新版本信息
 
+### v2.0-beta(12.20/2020)
+  - 动态图支持:
+    - 支持Faster-RCNN, Mask-RCNN, FPN, Cascade Faster/Mask RCNN, YOLOv3和SSD模型，试用版本。
+  - 模型提升：
+    - 更新PP-YOLO MobileNetv3 large和small模型，精度提升，并新增裁剪和蒸馏后的模型。
+  - 新功能：
+    - 支持VisualDL可视化数据预处理图片。
+
+  - Bug修复:
+    - 修复BlazeFace人脸关键点预测bug。
+
+
+## 历史版本信息
+
 ### v0.5.0(11/2020)
   - 模型丰富度提升：
     - 发布SOLOv2系列模型，其中SOLOv2-Light-R50-VD-DCN-FPN 模型在单卡V100上达到 38.6 FPS，加速24% ，COCO验证集精度达到38.8%, 提升2.4绝对百分点。
@@ -20,10 +34,6 @@
     - 新增目标检测全流程教程，新增Jetson平台部署教程。
 
 
-
-
-## 历史版本信息
-
 ### v0.4.0(07/2020)
   - 模型丰富度提升：
     - 发布PPYOLO模型，COCO数据集精度达到45.2%，单卡V100预测速度达到72.9 FPS，精度和预测速度优于YOLOv4模型。

dygraph/docs/tutorials/INSTALL_cn.md

@@ -3,23 +3,16 @@
 ---
 ## 目录
 
-- [简介](#简介)
 - [安装PaddlePaddle](#安装PaddlePaddle)
 - [其他依赖安装](#其他依赖安装)
 - [PaddleDetection](#PaddleDetection)
 
 
-## 简介
-
-这份文档介绍了如何安装PaddleDetection及其依赖项(包括PaddlePaddle)。
-
-PaddleDetection的相关信息，请参考[README.md](https://github.com/PaddlePaddle/PaddleDetection/blob/master/README.md).
-
-
 ## 安装PaddlePaddle
 
 **环境需求:**
 
+- paddlepaddle >= 2.0rc1
 - OS 64位操作系统
 - Python 3(3.5.1+/3.6/3.7)，64位版本
 - pip/pip3(9.0.1+)，64位版本操作系统是
@@ -50,7 +43,7 @@ PaddleDetection的相关信息，请参考[README.md](https://github.com/PaddleP
 
 **安装Python依赖库：**
 
-Python依赖库在[requirements.txt](https://github.com/PaddlePaddle/PaddleDetection/blob/master/requirements.txt)中给出，可通过如下命令安装：
+Python依赖库在[requirements.txt](../../../requirements.txt)中给出，可通过如下命令安装：
 
 ```
 pip install -r requirements.txt

dygraph/ppdet/modeling/__init__.py

 from . import ops
 from . import bbox
 from . import mask
-from . import backbone
-from . import neck
-from . import head
-from . import loss
-from . import architecture
+from . import backbones
+from . import necks
+from . import heads
+from . import losses
+from . import architectures
 from . import post_process
 from . import layers
 from . import utils
@@ -13,11 +13,11 @@ from . import utils
 from .ops import *
 from .bbox import *
 from .mask import *
-from .backbone import *
-from .neck import *
-from .head import *
-from .loss import *
-from .architecture import *
+from .backbones import *
+from .necks import *
+from .heads import *
+from .losses import *
+from .architectures import *
 from .post_process import *
 from .layers import *
 from .utils import *

dygraph/ppdet/modeling/backbone/resnet.py → dygraph/ppdet/modeling/backbones/resnet.py

@@ -26,6 +26,8 @@ from paddle.regularizer import L2Decay
 from .name_adapter import NameAdapter
 from numbers import Integral
 
+__all__ = ['ResNet', 'Res5Head']
+
 
 class ConvNormLayer(nn.Layer):
     def __init__(self,
@@ -317,3 +319,20 @@ class ResNet(nn.Layer):
             if idx in self.return_idx:
                 outs.append(x)
         return outs
+
+
+@register
+class Res5Head(nn.Layer):
+    def __init__(self, feat_in=1024, feat_out=512):
+        super(Res5Head, self).__init__()
+        na = NameAdapter(self)
+        self.res5_conv = []
+        self.res5 = self.add_sublayer(
+            'res5_roi_feat',
+            Blocks(
+                feat_in, feat_out, count=3, name_adapter=na, stage_num=5))
+        self.feat_out = feat_out * 4
+
+    def forward(self, roi_feat, stage=0):
+        y = self.res5(roi_feat)
+        return y

dygraph/ppdet/modeling/head/bbox_head.py → dygraph/ppdet/modeling/heads/bbox_head.py

@@ -22,9 +22,6 @@ from paddle.regularizer import L2Decay
 from ppdet.core.workspace import register
 from ppdet.modeling import ops
 
-from ..backbone.name_adapter import NameAdapter
-from ..backbone.resnet import Blocks
-
 
 @register
 class TwoFCHead(nn.Layer):
@@ -80,23 +77,6 @@ class TwoFCHead(nn.Layer):
         return fc7_relu
 
 
-@register
-class Res5Head(nn.Layer):
-    def __init__(self, feat_in=1024, feat_out=512):
-        super(Res5Head, self).__init__()
-        na = NameAdapter(self)
-        self.res5_conv = []
-        self.res5 = self.add_sublayer(
-            'res5_roi_feat',
-            Blocks(
-                feat_in, feat_out, count=3, name_adapter=na, stage_num=5))
-        self.feat_out = feat_out * 4
-
-    def forward(self, roi_feat, stage=0):
-        y = self.res5(roi_feat)
-        return y
-
-
 @register
 class BBoxFeat(nn.Layer):
     __inject__ = ['roi_extractor', 'head_feat']

dygraph/ppdet/modeling/head/yolo_head.py → dygraph/ppdet/modeling/heads/yolo_head.py

@@ -4,7 +4,7 @@ import paddle.nn.functional as F
 from paddle import ParamAttr
 from paddle.regularizer import L2Decay
 from ppdet.core.workspace import register
-from ..backbone.darknet import ConvBNLayer
+from ..backbones.darknet import ConvBNLayer
 
 
 @register

dygraph/ppdet/modeling/neck/yolo_fpn.py → dygraph/ppdet/modeling/necks/yolo_fpn.py

@@ -17,7 +17,7 @@ import paddle.nn as nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
 from ppdet.core.workspace import register, serializable
-from ..backbone.darknet import ConvBNLayer
+from ..backbones.darknet import ConvBNLayer
 
 
 class YoloDetBlock(nn.Layer):