From bbd7665c471e682d664b7f1b086d9cf68a4bab20 Mon Sep 17 00:00:00 2001
From: LDOUBLEV <liuvv0203@outlook.com>
Date: Thu, 18 Feb 2021 18:53:28 +0800
Subject: [PATCH] fix commit

---
 doc/doc_ch/installation.md    | 2 +-
 doc/doc_en/inference_en.md    | 2 +-
 doc/doc_en/installation_en.md | 2 +-
 tools/infer/predict_det.py    | 2 +-
 tools/infer/utility.py        | 1 +
 5 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/doc/doc_ch/installation.md b/doc/doc_ch/installation.md
index 95a7a52c..7e7523b9 100644
--- a/doc/doc_ch/installation.md
+++ b/doc/doc_ch/installation.md
@@ -30,7 +30,7 @@ sudo nvidia-docker run --name ppocr -v $PWD:/paddle --shm-size=64G --network=hos
 sudo docker container exec -it ppocr /bin/bash
 ```
 
-**2. 安装PaddlePaddle v2.0**
+**2. 安装PaddlePaddle 2.0**
 ```
 pip3 install --upgrade pip
 
diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md
index 48eaaa5a..aa3e0536 100755
--- a/doc/doc_en/inference_en.md
+++ b/doc/doc_en/inference_en.md
@@ -6,7 +6,7 @@ The inference model (the model saved by `paddle.jit.save`) is generally a solidi
 The model saved during the training process is the checkpoints model, which saves the parameters of the model and is mostly used to resume training.
 
 Compared with the checkpoints model, the inference model will additionally save the structural information of the model. Therefore, it is easier to deploy because the model structure and model parameters are already solidified in the inference model file, and is suitable for integration with actual systems.
-For more details, please refer to the document [Classification Framework](https://github.com/PaddlePaddle/PaddleClas/blob/master/docs/zh_CN/extension/paddle_inference.md).
+For more details, please refer to the document [Classification Framework](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.0/docs/zh_CN/extension/paddle_mobile_inference.md).
 
 Next, we first introduce how to convert a trained model into an inference model, and then we will introduce text detection, text recognition, angle class, and the concatenation of them based on inference model.
 
diff --git a/doc/doc_en/installation_en.md b/doc/doc_en/installation_en.md
index ad29aa23..dec384b2 100644
--- a/doc/doc_en/installation_en.md
+++ b/doc/doc_en/installation_en.md
@@ -33,7 +33,7 @@ You can also visit [DockerHub](https://hub.docker.com/r/paddlepaddle/paddle/tags
 sudo docker container exec -it ppocr /bin/bash
 ```
 
-**2. Install PaddlePaddle v2.0**
+**2. Install PaddlePaddle 2.0**
 ```
 pip3 install --upgrade pip
 
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index 76c6a447..077692af 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -64,7 +64,7 @@ class TextDetector(object):
             postprocess_params["box_thresh"] = args.det_db_box_thresh
             postprocess_params["max_candidates"] = 1000
             postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio
-            postprocess_params["use_dilation"] = args.use_dilation
+            postprocess_params["use_dilation"] = True
         elif self.det_algorithm == "EAST":
             postprocess_params['name'] = 'EASTPostProcess'
             postprocess_params["score_thresh"] = args.det_east_score_thresh
diff --git a/tools/infer/utility.py b/tools/infer/utility.py
index 3b92c093..a4a91efd 100755
--- a/tools/infer/utility.py
+++ b/tools/infer/utility.py
@@ -124,6 +124,7 @@ def create_predictor(args, mode, logger):
             # cache 10 different shapes for mkldnn to avoid memory leak
             config.set_mkldnn_cache_capacity(10)
             config.enable_mkldnn()
+            #  TODO LDOUBLEV: fix mkldnn bug when bach_size  > 1
             #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'})
             args.rec_batch_num = 1
 
-- 
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