docs(build): fix typo (open-mmlab#352)

* docs(build): add missing build option

* docs(build): add onnx install

* style(doc): trim whitespace

* docs(build): revert install onnx

* docs(build): add ncnn LD_LIBRARY_PATH

* docs(build): fix path error

docs/en/build/linux.md

@@ -235,6 +235,7 @@ Make sure to enable <code>-DNCNN_PYTHON=ON</code> in your build command. <br>
 <pre><code>
 cd ncnn
 export NCNN_DIR=$(pwd)
+export LD_LIBRARY_PATH=${NCNN_DIR}/build/install/lib/:$LD_LIBRARY_PATH
 </code></pre>
 3. Install pyncnn
 <pre><code>

docs/en/faq.md

@@ -43,7 +43,17 @@
   `python fixNvPe.py --input=C:\Users\user\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\lib\*.dll`
 
    You can find your pytorch installation path with:
-   ``` python
+   ```python
    import torch
    print(torch.__file__)
    ```
+
+### Pip
+- pip installed package but could not `import` them.
+
+  Make sure your are using conda pip.
+  ```bash
+  $ which pip
+  # /path/to/.local/bin/pip
+  /path/to/miniconda3/lib/python3.9/site-packages/pip
+  ```

mmdeploy/core/rewriters/rewriter_utils.py

@@ -181,7 +181,7 @@ def check(self, env: Dict) -> bool:
 
 
 class RewriterRegistry:
-    """A registry that recoreds rewrite objects.
+    """A registry that records rewrite objects.
 
     Logically this class is a two-dimensional table which maintains an object
     list for each backend. The records can be inserted to this table through
@@ -304,7 +304,7 @@ def register_object(self,
             name (str): The import path to access the function/module.
             backend (str): The rewriter will be activated on which backend.
             ir (IR): The rewriter will be activated on which ir.
-            extra_chekcers (None | Checker | List[Checker]): Other requirements
+            extra_checkers (None | Checker | List[Checker]): Other requirements
                 for the rewriters. Default to `None`.
 
         Returns: