fix some wrong links, test=document_fix (PaddlePaddle#2948)

heavengate · May 11, 2021 · 30dda1e · 30dda1e
1 parent 945bafa
commit 30dda1e
Show file tree

Hide file tree

Showing 5 changed files with 6 additions and 6 deletions.
diff --git a/deploy/serving/README.md b/deploy/serving/README.md
@@ -2,11 +2,11 @@
 
 `PaddleDetection`训练出来的模型可以使用[Serving](https://github.com/PaddlePaddle/Serving) 部署在服务端。  
 本教程以在COCO数据集上用`configs/yolov3/yolov3_darknet53_270e_coco.yml`算法训练的模型进行部署。  
-预训练模型权重文件为[yolov3_darknet53_270e_coco.pdparams](https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams) 。
+预训练模型权重文件为[yolov3_darknet53_270e_coco.pdparams](https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams) 。
 
 ## 1. 首先验证模型
 ```
-python tools/infer.py -c  --infer_img=demo/000000014439.jpg -o use_gpu=True weights=https://paddlemodels.bj.bcebos.com/object_detection/dygraph/yolov3_darknet53_270e_coco.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/yolov3/yolov3_darknet53_270e_coco.yml --infer_img=demo/000000014439.jpg -o use_gpu=True weights=https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 ## 2. 安装 paddle serving

diff --git a/docs/tutorials/INSTALL.md b/docs/tutorials/INSTALL.md
@@ -123,7 +123,7 @@ OK
 ```
 # Predict an image by GPU
 export CUDA_VISIBLE_DEVICES=0
-python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 An image of the same name with the predicted result will be generated under the `output` folder.

diff --git a/docs/tutorials/INSTALL_cn.md b/docs/tutorials/INSTALL_cn.md
@@ -116,7 +116,7 @@ OK
 ```
 # 在GPU上预测一张图片
 export CUDA_VISIBLE_DEVICES=0
-python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 会在`output`文件夹下生成一个画有预测结果的同名图像。

diff --git a/docs/tutorials/QUICK_STARTED.md b/docs/tutorials/QUICK_STARTED.md
@@ -14,7 +14,7 @@ export CUDA_VISIBLE_DEVICES=0
 
 ```
 # predict an image using PP-YOLO
-python tools/infer.py -c configs/ppyolo/ppyolo.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 the result：

diff --git a/docs/tutorials/QUICK_STARTED_cn.md b/docs/tutorials/QUICK_STARTED_cn.md
@@ -11,7 +11,7 @@ export CUDA_VISIBLE_DEVICES=0
 ## 一、快速体验
 ```
 # 用PP-YOLO算法在COCO数据集上预训练模型预测一张图片
-python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/dygraph/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 结果如下图：