fix pretrain model path

configs/det/det_mv3_east.yml

@@ -11,7 +11,7 @@ Global:
   test_batch_size_per_card: 16
   image_shape: [3, 512, 512]
   reader_yml: ./configs/det/det_east_icdar15_reader.yml
-  pretrain_weights: ./pretrain_models/MobileNetV3_pretrained/MobileNetV3_large_x0_5_pretrained/
+  pretrain_weights: ./pretrain_models/MobileNetV3_large_x0_5_pretrained/
   checkpoints:
   save_res_path: ./output/det_east/predicts_east.txt
   save_inference_dir:
@@ -42,4 +42,4 @@ PostProcess:
   score_thresh: 0.8
   cover_thresh: 0.1
   nms_thresh: 0.2
-  
+  

configs/det/det_r50_vd_db.yml

@@ -11,7 +11,7 @@ Global:
   test_batch_size_per_card: 16
   image_shape: [3, 640, 640]
   reader_yml: ./configs/det/det_db_icdar15_reader.yml
-  pretrain_weights: ./pretrain_models/ResNet50_vd_pretrained/
+  pretrain_weights: ./pretrain_models/ResNet50_vd_ssld_pretrained/
   save_res_path: ./output/det_db/predicts_db.txt
   checkpoints:
   save_inference_dir:
@@ -50,4 +50,4 @@ PostProcess:
   box_thresh: 0.7
   max_candidates: 1000
   unclip_ratio: 1.5
-  
+  

configs/det/det_r50_vd_east.yml

@@ -11,7 +11,7 @@ Global:
   test_batch_size_per_card: 16
   image_shape: [3, 512, 512]
   reader_yml: ./configs/det/det_east_icdar15_reader.yml
-  pretrain_weights: ./pretrain_models/ResNet50_vd_pretrained/
+  pretrain_weights: ./pretrain_models/ResNet50_vd_ssld_pretrained/
   save_res_path: ./output/det_east/predicts_east.txt
   checkpoints:
   save_inference_dir:
@@ -41,4 +41,4 @@ PostProcess:
   score_thresh: 0.8
   cover_thresh: 0.1
   nms_thresh: 0.2
-  
+  

doc/installation.md

@@ -20,7 +20,7 @@ sudo nvidia-docker run --name ppocr -v $PWD:/paddle --network=host -it hub.baidu
 sudo nvidia-docker container exec -it ppocr /bin/bash
 ```
 
-2. 安装PaddlePaddle Fluid v1.7或更高版本
+2. 安装PaddlePaddle Fluid v1.7(暂不支持更高版本,适配工作进行中)
 ```
 pip3 install --upgrade pip