update cpp_infer readme
@@ -130,10 +130,10 @@ Among them, `paddle` is the Paddle library required for C++ prediction later, an
* After downloading, use the following method to uncompress.
```
-tar -xf fluid_inference.tgz
+tar -xf paddle_inference.tgz
```
-Finally you can see the following files in the folder of `fluid_inference/`.
+Finally you can see the following files in the folder of `paddle_inference/`.
## 2. Compile and run the demo
@@ -145,11 +145,11 @@ Finally you can see the following files in the folder of `fluid_inference/`.
```
inference/
|-- det_db
-| |--model
-| |--params
+| |--inference.pdparams
+| |--inference.pdimodel
|-- rec_rcnn
-| |--model
-| |--params
+| |--inference.pdparams
+| |--inference.pdparams
```
@@ -188,7 +188,9 @@ cmake .. \
make -j
```
-`OPENCV_DIR` is the opencv installation path; `LIB_DIR` is the download (`fluid_inference` folder) or the generated Paddle inference library path (`build/fluid_inference_install_dir` folder); `CUDA_LIB_DIR` is the cuda library file path, in docker; it is `/usr/local/cuda/lib64`; `CUDNN_LIB_DIR` is the cudnn library file path, in docker it is `/usr/lib/x86_64-linux-gnu/`.
+`OPENCV_DIR` is the opencv installation path; `LIB_DIR` is the download (`paddle_inference` folder)
+or the generated Paddle inference library path (`build/paddle_inference_install_dir` folder);
+`CUDA_LIB_DIR` is the cuda library file path, in docker; it is `/usr/local/cuda/lib64`; `CUDNN_LIB_DIR` is the cudnn library file path, in docker it is `/usr/lib/x86_64-linux-gnu/`.
* After the compilation is completed, an executable file named `ocr_system` will be generated in the `build` folder.
@@ -211,7 +213,6 @@ gpu_id 0 # GPU id when use_gpu is 1
gpu_mem 4000 # GPU memory requested
cpu_math_library_num_threads 10 # Number of threads when using CPU inference. When machine cores is enough, the large the value, the faster the inference speed
use_mkldnn 1 # Whether to use mkdlnn library
-use_zero_copy_run 1 # Whether to use use_zero_copy_run for inference
max_side_len 960 # Limit the maximum image height and width to 960
det_db_thresh 0.3 # Used to filter the binarized image of DB prediction, setting 0.-0.3 has no obvious effect on the result
@@ -244,4 +245,4 @@ The detection results will be shown on the screen, which is as follows.
### 2.3 Notes
-* Paddle2.0.0-beta0 inference model library is recommanded for this tuturial.
+* Paddle2.0.0-beta0 inference model library is recommended for this toturial.
