Add yolop tensorrt README.md

toolkits/deploy/README.md

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+YoloP TensorRT Usage(简要说明)
+=====
+
+
+## 1. 准备构建环境 | Prepare building environments
+
+Make sure you have install `c++`(support c++11)、 `cmake`、`opencv`(4.x)、`cuda`(10.x)、`nvinfer`(7.x).
+
+Now, zedcam is not necessary!
+
+And we can also use opencv that built without cuda.
+
+## 2. 编译 | build
+
+Go to `YOLOP/toolkits/deploy`.
+
+```
+mkdir build
+cd build
+
+cmake ..
+make
+```
+
+Now you can get `yolov5` and `libmyplugins.so`.
+If you have Zed installed, you can get `yolop`.
+
+
+## 3. 生成和测试 trt | Generate and test trt
+
+Go to build dir (`YOLOP/toolkits/deploy/build`).
+
+### 3.1 gen wts
+```
+python3 ../gen_wts.py
+```
+
+### 3.2 gen trt
+```
+./yolov5 -s yolop.wts yolop.trt s
+```
+
+### 3.3 test trt
+```
+mkdir ../results
+./yolov5 -d yolop.trt ../../../inference/images/
+```
+
+It will output like as follow if successful! (`Jetson Xavier NX - Jetpack 4.4`)
+```
+1601ms
+26ms
+26ms
+26ms
+26ms
+28ms
+```
+
+![](build/results/_3c0e7240-96e390d2.jpg)
+
+
+
+