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@@ -64,4 +64,4 @@ resources/fonts/方正宋黑.TTF filter=lfs diff=lfs merge=lfs -text
 resources/fonts/japan.ttc filter=lfs diff=lfs merge=lfs -text
 resources/fonts/FZYTK.TTF filter=lfs diff=lfs merge=lfs -text
 resources/fonts/korean.ttf filter=lfs diff=lfs merge=lfs -text
-resources/fonts/方正宋黑.TTF filter=lfs diff=lfs merge=lfs -text
+resources/fonts/方正宋黑.TTF filter=lfs diff=lfs merge=lfs -textvis.gif filter=lfs diff=lfs merge=lfs -text

README.md

@@ -31,11 +31,23 @@ Current token-prediction-based model architectures are highly sensitive to the a
 
 ## Visualization
 
-![Visualization](./vis.gif)
-
 ## Installation
 
 ```bash
+# Choose **one** installation method below:
+
+# Method 1: Install with ONNX Runtime CPU version
+pip install phocr[cpu]
+
+# Method 2: Install with ONNX Runtime GPU version
+pip install phocr[cuda]
+# Required: Make sure the CUDA toolkit and cuDNN library are properly installed
+# You can install cuda runtime and cuDNN via conda:
+conda install -c nvidia cuda-runtime=12.1 cudnn=9
+# Or manually install the corresponding CUDA toolkit and cuDNN libraries
+
+# Method 3: Manually manage ONNX Runtime
+# You can install `onnxruntime` or `onnxruntime-gpu` yourself, then install PHOCR
 pip install phocr
 ```
 
@@ -54,6 +66,9 @@ print(result)
 # Visualize results
 result.vis("output.jpg")
 print(result.to_markdown())
+
+## only recognition
+
 ```
 
 ## Benchmarks

README_CN.md

@@ -32,11 +32,22 @@ PHOCR 是一个高性能的开源光学字符识别（OCR）工具包，专为
 
 ## 可视化效果
 
-![可视化效果](./vis.gif)
-
 ## 安装方式
-
 ```bash
+# 请选择以下 **一种** 安装方式：
+
+# 方法一：安装带 ONNX Runtime CPU 版本
+pip install phocr[cpu]
+
+# 方法二：安装带 ONNX Runtime GPU 版本
+pip install phocr[cuda]
+# 必须：确保已正确安装 CUDA Toolkit 和 cuDNN 库
+# 你可以通过 conda 安装 cuda-runtime和cuDNN：
+conda install -c nvidia cuda-runtime=12.1 cudnn=9
+# 或者手动安装对应版本的 CUDA Toolkit 和 cuDNN 库
+
+# 方法三：手动管理 ONNX Runtime
+# 你可以自行安装 `onnxruntime` 或 `onnxruntime-gpu`，然后再安装 PHOCR
 pip install phocr
 ```
 
@@ -55,6 +66,7 @@ print(result)
 # 可视化结果
 result.vis("output.jpg")
 print(result.to_markdown())
+
 ```
 
 ## 性能基准测试