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products:sbc:vim3:npu:npu-app [2023/09/12 03:41]
sravan [Compile the application] 		products:sbc:vim3:npu:npu-app [2024/03/12 05:26] (current)
louis
Line 135: Line 135:
 ``` ```
  
-2. The compiled library ''libnn_yolo_v3.so'' is generated in bin_r folder. Add it to the library path variable.+2. The compiled library ''libnn_yolo_v3.so'' is generated in ''bin_r'' folder. Add it to the library path variable.
  
 ```shell ```shell
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 $ ls $ ls
 bin_r_cv4  build_vx.sh  detect.h  linux_build_sample.log  main.cpp  makefile.linux  makefile.linux.def  makefile.target_name  nn_detect_common.h  nn_detect.h  nn_detect_utils.h bin_r_cv4  build_vx.sh  detect.h  linux_build_sample.log  main.cpp  makefile.linux  makefile.linux.def  makefile.target_name  nn_detect_common.h  nn_detect.h  nn_detect_utils.h
 +```
 +
 +<WRAP important >
 +If you use kernel are using version 5.15 or above, please remove the red lines in ''makefile.linux'' before running ''build_vx.sh''.
 +</WRAP>
 +
 +```diff
 +LIBS += -L$(VIVANTE_SDK_LIB) -lOpenVX -lOpenVXU -lGAL -lovxlib -lArchModelSw -lNNArchPerf
 +
 +LIBS += -L../source_code/bin_r -lnn_detect
 +
 +-#LIBS +=-L$(LIB_DIR) -lstdc++
 +-LIBS += -lvpcodec -lamcodec -lamadec -lamvdec -lamavutils -lrt -lpthread -lge2d -lion
 +
 +#############################################################################
 +# Macros.
 +PROGRAM = 1
 +CUR_SOURCE = ${wildcard *.c}
 +#############################################################################
 ``` ```
  
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 detect_demo_x11_usb  main.o  nn_data detect_demo_x11_usb  main.o  nn_data
 ``` ```
-===== Run inference =====+===== Run the application =====
  
 Now you can run inference on captured video data using the model. Now you can run inference on captured video data using the model.
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 $ ./detect_demo_x11_usb -m 2 -d /dev/video1 $ ./detect_demo_x11_usb -m 2 -d /dev/video1
 ``` ```
-==== Run-time parameters ==== +==== Application setup parameters ==== 
-=== Selecting the model ===+=== Parameter to select the detection model ===
  
 The parameter ''-m'' is for selecting the inference model, Here are the all the available models and their respective serial numbers. The parameter ''-m'' is for selecting the inference model, Here are the all the available models and their respective serial numbers.
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-For the above example, we used the serial number ''2'' which corresponds to the yolov3 model.+For the above example, we used the serial number ''2'' which corresponds to the ''yolov3'' model.
  
-=== Providing picture as input ===+=== Parameter to set the input as picture ===
  
-If you use the model that takes input as a picture, change ''-d'' to ''-p''. Here is an example with densenet_ctc.+If you use the model that takes input as a picture, change ''-d'' to ''-p''. Here is an example with ''densenet_ctc''.
 ```shell ```shell
 $ ./densenet_ctc_picture -m 15 -p ../KhadasTeam.png $ ./densenet_ctc_picture -m 15 -p ../KhadasTeam.png
 ``` ```
Last modified: 2023/09/12 03:41 by sravan

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