Differences

This shows you the differences between two versions of the page.

--- products:sbc:vim3:npu:npu-prebuilt-demo-usage [2022/09/16 03:26]
ivan
+++ products:sbc:vim3:npu:npu-prebuilt-demo-usage [2023/09/11 09:58] (current)
hyphop
@@ Line 1: / Line 1: @@
+~~tag>VIM3 VIM3L Amlogic NPU OpenCV Inception YOLO~~
 ====== NPU Prebuilt Demo Usage ======
-<WRAP tip >
+Prebuilt example demos for interacting with the Amlogic NPU using OpenCV4
-  - Please follow this docs to upgrade the system to latest version before run any NPU demos.
-  - Just support Opencv4
-</WRAP>
-===== install OpenCV4 =====
+===== Install OpenCV4 =====
+Update your system and install the OpenCV packages.
-```sh Install-OpenCV4.sh
+```shell
-sudo apt install libopencv-dev python3-opencv
+$ sudo apt update
+$ sudo apt install libopencv-dev python3-opencv
 ```
 ===== Get NPU Demo =====
-<WRAP tip >
+/*
-NPU Demo is not installed on the board by default. You need to download it from github first
+<WRAP important >
+The NPU Demo is not installed on the board by default. You need to download it from GitHub first.
 </WRAP>
+*/
-) Clone to the board through the git command.
+Get the demo source: [[gh>khadas/aml_npu_demo_binaries]]
+```shell
-```sh get-npu-demo-from-demo.sh
+$ git clone --recursive https://github.com/khadas/aml_npu_demo_binaries
- cd {workspace}
- git clone --recursive https://github.com/khadas/aml_npu_demo_binaries
 ```
-) Or download the compressed package directly, and then unzip it to the board.
-    There are three directories in NPU Demo:
+The NPU demo contains three examples:
-<tabbox detect_demo>
+  - ''detect_demo'' - A collection of ''yolo'' series models for camera dynamic recognition.
-    - detect_demo: A collection of yolo series models for camera dynamic recognition.
+  - ''detect_demo_picture'' - A collection of ''yolo'' series models that identify pictures.
-<tabbox detect_demo_picture>
+  - ''inceptionv3'' -  Identify the inception model of the picture.
-    - detect_demo_picture: A collection of yolo series models that identify pictures.
-<tabbox inceptionv3>
-    - inceptionv3: Identify the inception model of the picture
-</tabbox>
 ===== Inception Model =====
+The inception model does not have any library dependencies and can be used as is.
-  - The inception model does not need to install any libraries into the system. Enter the inceptionv3 directory.
+Enter the ''inceptionv3'' directory.
-  - imagenet_slim_labels.txt is a label file. After the result is identified, the label corresponding to the result can be queried in this file.
+```shell
+$ cd aml_npu_demo_binaries/inceptionv3
+$ ls
+dog_299x299.jpg  goldfish_299x299.jpg  imagenet_slim_labels.txt  VIM3  VIM3L
+```
-   $ cd {workspace}/aml_npu_demo_binaries/inceptionv3
+''imagenet_slim_labels.txt'' is a label file. After the result is identified, the label corresponding to the result can be queried in this file.
-   $ ls
-   dog_299x299.jpg  goldfish_299x299.jpg  imagenet_slim_labels.txt  VIM3  VIM3L
-<WRAP important >
+<WRAP tip >
-If your board is VIM3, enter the VIM3 directory, if it is VIM3L, then enter the VIM3L directory. Here is VIM3 as an example.
+Depending on your board, enter the VIM3 or VIM3L directory accordingly. Here is the VIM3 as an example.
 </WRAP>
-  $ cd {workspace}/aml_npu_demo_binaries/inceptionv3/VIM3
+```shell
-  $ inceptionv3  inception_v3.nb  run.sh
+$ ls aml_npu_demo_binaries/inceptionv3/VIM3
+$ inceptionv3  inception_v3.nb  run.sh
-  $ cd {workspace}/aml_npu_demo_binaries/inceptionv3/VIM3
+$ cd aml_npu_demo_binaries/inceptionv3/VIM3
-  $ ./run.sh
+$ ./run.sh
-  Create Neural Network: 59ms or 59022us
+Create Neural Network: 59ms or 59022us
-  Verify...
+Verify...
-  Verify Graph: 0ms or 739us
+Verify Graph: 0ms or 739us
-  Start run graph [1] times...
+Start run graph [1] times...
-  Run the 1 time: 20.00ms or 20497.00us
+Run the 1 time: 20.00ms or 20497.00us
-  vxProcessGraph execution time:
+vxProcessGraph execution time:
-  Total   20.00ms or 20540.00us
+Total   20.00ms or 20540.00us
- Average 20.54ms or 20540.00us
+Average 20.54ms or 20540.00us
- --- Top5 ---
+--- Top5 ---
- 2: 0.833984
+: 0.833984
- 795: 0.009102
+: 0.009102
+: 0.003592
- 974: 0.003592
+: 0.002207
- 408: 0.002207
+: 0.002111
- 393: 0.002111
+```
 <WRAP Info>
-By querying imagenet_slim_labels.txt, the result is a goldfish, which is also correctly identified.You can use the method above to identify other images.
+By querying ''imagenet_slim_labels.txt'', the result is a goldfish, which is also correctly identified. You can use the method above to identify other images.
 </WRAP>
 ===== Yolo Series Model =====
-==== Preparation ====
-The application of the yolo series model is divided into two parts: camera dynamic recognition and image recognition.
 ==== Install and uninstall libraries ====
-The yolo series models need to install the library into the system. Whether it is using the camera to dynamically recognize or recognize pictures, they share the same library.
+The yolo series models need to install the library into the system. Both the ''detect_demo'' and ''detect_demo_picture'' examples require this procedure.
-) Install
+You can follow the steps to either install or uninstall the libraries.
-```sh install-libraries.sh
+Install libraries:
-cd {workspace}/aml_npu_demo_binaries/detect_demo_picture
-sudo ./INSTALL
+```shell
+$ cd aml_npu_demo_binaries/detect_demo_picture
+$ sudo ./INSTALL
 ```
-) Uninstall
-```sh uninstall-libraries.sh
+Uninstall libraries:
-cd {workspace}/aml_npu_demo_binaries/detect_demo_picture
-sudo ./UNINSTALL
+```shell
+$ cd aml_npu_demo_binaries/detect_demo_picture
+$ sudo ./UNINSTALL
 ```
-==== type Parameter Description ====
+==== Type Parameter Description ====
 <WRAP important >
-The type parameter is an input parameter that must be selected whether it is to use camera dynamic recognition or to recognize pictures. This parameter is mainly used to specify the running yolo series model.
+The type parameter is an input parameter that must be selected whether it is to use camera dynamic recognition or to recognize pictures. This parameter is mainly used to specify the running YOLO series model.
 </WRAP>
-  0 : yoloface model
+```shell
-  1 : yolov2 model
+: yoloface model
-  2 : yolov3 model
+: yolov2 model
-  3 : yolov3_tiny model
+: yolov3 model
-  4 : yolov4 model
+: yolov3_tiny model
+: yolov4 model
-==== Operating Environment Description ====
+```
+==== Operating Environment for NPU demo ====
-NPU Demo can run in X11 or framebuffer mode, just select the corresponding demo to run.
+NPU Demo can run in X11 Desktop or framebuffer mode, just select the corresponding demo to run.
-=== X11 / Framebuffer ===
+    - The demo with fb is running in framebuffer mode.
+    - The demo with x11 is running in X11 mode.
-  - The demo with fb is running in framebuffer mode.
+==== Demo examples ====
+=== detect_demo_picture ===
-  - The demo with x11 is running in X11 mode.
+```shell
+$ cd aml_npu_demo_binaries/detect_demo_picture
+$ ls
+p.bmp  detect_demo_x11  detect_demo_fb  INSTALL  lib  nn_data  README.md  UNINSTALL
+```
+== Run ==
-==== Illustrative Example ====
+Command format of the picture.
-Here is an example of detect_demo_picture,
+```shell
+$ cd aml_npu_demo_binaries/detect_demo_picture
+$ ./detect_demo_xx -m <type parameter> -p <picture_path>
+```
+Here is an example of using OpenCV4 to call the ''yolov3'' model to recognize pictures under ''x11''.
-```sh detect-demo-picture-example.sh
+```shell
-$ cd {workspace}/aml_npu_demo_binaries/detect_demo_picture
+$ cd aml_npu_demo_binaries/detect_demo_picture
-$ ls
+$ ./detect_demo_x11 -m 2 -p 1080p.bmp
-p.bmp  detect_demo_x11  detect_demo_xfb  INSTALL  lib  nn_data  README.md  UNINSTALL
 ```
-<WRAP tip >
-      - detect_demo_fb It is a demo that uses opencv4 recognition pictures running under framebuffer
-      - detect_demo_x11 It is a demo that uses opencv4 recognition pictures running under X11
-</WRAP>
-==== Run ====
+The results of the operation are as follows.
-Identify the command format of the picture.
+{{:products:sbc:vim3:npu:detect-demo-picture-x11-cv4.png?1000|detect-picture}}
-  $ cd {workspace}/aml_npu_demo_binaries/detect_demo_picture
+=== detect_demo ===
-  $ ./detect_demo_xx -m <type> -p <picture_path>
-Here is an example of using Opencv4 to call the yolov3 model to recognize pictures under x11.
+<WRAP tip >
+You should use the demo of usb to use the USB camera, and the demo of mipi to use the mipi camera.
+</WRAP>
-  $ cd {workspace}/aml_npu_demo_binaries/detect_demo_picture
+== Run ==
-  $ ./detect_demo_fb 2 1080p.bmp
+Command format for camera dynamic recognition.
-The results of the operation are as follows.
+```shell
+$ cd aml_npu_demo_binaries/detect_demo
+$ ./detect_xx_xx -d <video node> -m <type parameter>
+```
+Here is an example of using OpenCV4 to call ''yolov3'' in the ''x11'' environment using a USB camera.
+```shell
+$ cd aml_npu_demo_binaries/detect_demo
+$ ./detect_demo_x11_usb -d /dev/video1 -m 2
+```
-{{ :products:sbc:vim3:npu:start:detect-demo-picture-x11-cv4.png?10000 |lll}}
+<WRAP info >
+After turning on the camera, the recognition result will be displayed on the screen.
-<WRAP tip >
-Camera description
-  - You should use the demo of usb to use the USB camera, and the demo of mipi to use the mipi camera.
-  - Command format for camera dynamic recognition
 </WRAP>
+{{:products:sbc:vim3:npu:start:detect-demo-picture-x11-cv4.webp?1000 |detect}}

Khadas Docs

User Tools

Site Tools

Differences

Page Tools