New features and fixes

docs/YOLOv8.md

@@ -46,6 +46,24 @@ Generate the ONNX model file (example for YOLOv8s)
 python3 export_yoloV8.py -w yolov8s.pt --simplify --dynamic
 ```
 
+**NOTE**: To simplify the ONNX model
+
+```
+--simplify
+```
+
+**NOTE**: To use dynamic batch-size
+
+```
+--dynamic
+```
+
+**NOTE**: To use implicit batch-size (example for batch-size = 4)
+
+```
+--batch 4
+```
+
 **NOTE**: If you are using DeepStream 5.1, use opset 12 or lower. The default opset is 16.
 
 ```
@@ -110,7 +128,7 @@ Open the `DeepStream-Yolo` folder and compile the lib
 * DeepStream 5.1 on x86 platform
 
   ```
-  CUDA_VER=11.1 LEGACY=1 make -C nvdsinfer_custom_impl_Yolo
+  CUDA_VER=11.1 make -C nvdsinfer_custom_impl_Yolo
   ```
 
 * DeepStream 6.2 / 6.1.1 / 6.1 on Jetson platform
@@ -119,18 +137,12 @@ Open the `DeepStream-Yolo` folder and compile the lib
   CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
   ```
 
-* DeepStream 6.0.1 / 6.0 on Jetson platform
+* DeepStream 6.0.1 / 6.0 / 5.1 on Jetson platform
 
   ```
   CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo
   ```
 
-* DeepStream 5.1 on Jetson platform
-
-  ```
-  CUDA_VER=10.2 LEGACY=1 make -C nvdsinfer_custom_impl_Yolo
-  ```
-
 ##
 
 ### Edit the config_infer_primary_yoloV8 file
@@ -141,7 +153,6 @@ Edit the `config_infer_primary_yoloV8.txt` file according to your model (example
 [property]
 ...
 onnx-file=yolov8s.onnx
-model-engine-file=yolov8s.onnx_b1_gpu0_fp32.engine
 ...
 num-detected-classes=80
 ...
@@ -152,8 +163,18 @@ parse-bbox-func-name=NvDsInferParseYolo
 **NOTE**: The **YOLOv8** resizes the input with center padding. To get better accuracy, use
 
 ```
+...
 maintain-aspect-ratio=1
 symmetric-padding=1
+...
+```
+
+**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
+
+```
+...
+force-implicit-batch-dim=1
+...
 ```
 
 ##