[cherry pick] fix doc config (#2188)

* fix fcos ttfnet yolov3 config

* fix doc image, test=document_fix

dygraph/configs/fcos/README.md

@@ -14,7 +14,7 @@ FCOS (Fully Convolutional One-Stage Object Detection) is a fast anchor-free obje
 | :-------------- | :------------- | :-----: | :-----: | :------------: | :-----: | :-----------------------------------------------------: | :-----: |
 | 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) |
+| ResNet50-FPN    | FCOS+multiscale_train    |    2    |   2x      |     ----     |  41.8  | [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/ttfnet/_base_/ttfnet_reader.yml

@@ -3,7 +3,7 @@ TrainReader:
   sample_transforms:
   - DecodeOp: {}
   - RandomFlipOp: {prob: 0.5}
-  - ResizeOp: {target_size: [512, 512], keep_ratio: False}
+  - ResizeOp: {interp: 1, target_size: [512, 512], keep_ratio: False}
   - NormalizeImageOp: {mean: [123.675, 116.28, 103.53], std: [58.395, 57.12, 57.375], is_scale: false}
   - PermuteOp: {}
   batch_transforms:
@@ -16,7 +16,7 @@ TrainReader:
 EvalReader:
   sample_transforms:
   - DecodeOp: {}
-  - ResizeOp: {target_size: [512, 512], keep_ratio: False}
+  - ResizeOp: {interp: 1, target_size: [512, 512], keep_ratio: False}
   - NormalizeImageOp: {is_scale: false, mean: [123.675, 116.28, 103.53], std: [58.395, 57.12, 57.375]}
   - PermuteOp: {}
   batch_size: 1
@@ -26,7 +26,7 @@ EvalReader:
 TestReader:
   sample_transforms:
   - DecodeOp: {}
-  - ResizeOp: {target_size: [512, 512], keep_ratio: False}
+  - ResizeOp: {interp: 1, target_size: [512, 512], keep_ratio: False}
   - NormalizeImageOp: {is_scale: false, mean: [123.675, 116.28, 103.53], std: [58.395, 57.12, 57.375]}
   - PermuteOp: {}
   batch_size: 1

dygraph/configs/yolov3/yolov3_mobilenet_v1_roadsign.yml

@@ -5,10 +5,11 @@ _BASE_: [
   '_base_/yolov3_reader.yml',
 ]
 pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_mobilenet_v1_270e_coco.pdparams
-use_fine_grained_loss: false
 load_static_weights: false
 norm_type: sync_bn
 weights: output/yolov3_mobilenet_v1_roadsign/model_final
+metric: VOC
+map_type: integral
 
 YOLOv3Loss:
   ignore_thresh: 0.7
@@ -44,7 +45,7 @@ TrainReader:
   shuffle: true
   drop_last: true
 
-snapshot_epoch: 5
+snapshot_epoch: 2
 epoch: 40
 
 LearningRate:

dygraph/docs/tutorials/INSTALL_cn.md

@@ -76,4 +76,4 @@ python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=
 
 结果如下图：
 
-![](../images/000000014439.jpg)
+![demo image](../images/000000014439.jpg)

dygraph/docs/tutorials/QUICK_STARTED_cn.md

@@ -13,7 +13,7 @@ python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=
 ```
 结果如下图：
 
-![](../images/000000014439.jpg)
+![demo image](../images/000000014439.jpg)
 
 
 ## 二、准备数据
@@ -79,4 +79,4 @@ python tools/infer.py -c configs/yolov3/yolov3_mobilenet_v1_roadsign.yml -o use_
 
 结果如下图：
 
-![](../images/road554.png)
+![road554 image](../images/road554.png)