update readme

.idea/workspace.xml

@@ -2,12 +2,9 @@
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-      <change beforePath="$PROJECT_DIR$/train.py" beforeDir="false" afterPath="$PROJECT_DIR$/train.py" afterDir="false" />
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@@ -19,31 +16,35 @@
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@@ -96,6 +106,7 @@
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         <option value="$PROJECT_DIR$/train.py" />
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@@ -117,6 +128,17 @@
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@@ -257,11 +280,18 @@
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README.md

@@ -22,9 +22,10 @@ A Chinese characters recognition repository based on convolutional recurrent net
 ## Data
 #### Synthetic Chinese String Dataset
 1. Download the dataset in [here](https://pan.baidu.com/s/1ufYbnZAZ1q0AlK7yZ08cvQ)
-2. Put *char_std_5990.txt* in **lib/dataset/txt/**
-3. Download the preprocessed labels in [here](https://pan.baidu.com/s/1rd4tm0sCq5fFgB2ziUxcrA) (password:w877)
-4. And put *train.txt* and *test.txt* in **lib/dataset/txt/**
+2. Edit lib/config/360CC_config.yaml DATA:ROOT to you image path
+3. Put *char_std_5990.txt* in **lib/dataset/txt/**
+4. Download the preprocessed labels in [here](https://pan.baidu.com/s/1rd4tm0sCq5fFgB2ziUxcrA) (password:w877)
+5. And put *train.txt* and *test.txt* in **lib/dataset/txt/**
 
 ## Train
 ```angular2html

lib/config/360CC_config.yaml

@@ -13,7 +13,7 @@ CUDNN:
 DATASET:
   DATASET: 360CC
   ROOT: "H:/DL-DATASET/360M/images"
-  JSON_FILE: {'train': 'H:/DL-DATASET/360M/train.txt', 'val': 'H:/DL-DATASET/360M/test.txt'}
+  JSON_FILE: {'train': 'lib/dataset/txt/train.txt', 'val': 'lib/dataset/txt/test.txt'}
   SCALE_FACTOR: 0.25
   ROT_FACTOR: 30
   STD: 0.193