软件学院嵌入式物联网大作业-使用其搭载的垃圾分类算法进行分类基于python实现+源代码+文档说明+报告

English|[中文](README_CN.md) **This sample provides reference for you to learn the Ascend AI Software Stack and is not for commercial purposes.** **This sample applies to Ascend camera 3.0.0 and later versions, and supports Atlas 200 DK and Atlas 300 ([AI1s](https://support.huaweicloud.com/en-us/productdesc-ecs/ecs_01_0047.html#ecs_01_0047__section78423209366)).** **This document provides only guidance for running the sample in CLI mode. For details about how to run the sample in MindStudio, see [Running Video Samples in MindStudio](https://gitee.com/ascend/samples/wikis/Mindstudio%E8%BF%90%E8%A1%8C%E8%A7%86%E9%A2%91%E6%A0%B7%E4%BE%8B?sort_id=3170138).** ## Ascend Camera Sample Function: use a camera to shoot photos or videos. Input: Camera Output: The inference results are displayed on the Presenter Server WebUI, or the data is saved to the local host. ### Prerequisites Before deploying this sample, ensure that: - The environment has been prepared based on [Preparing Environment and Installing Dependencies](../../../environment). - The development environment and operating environment of the corresponding product have been installed. ### Preparing Software 1. Obtain the source code package. You can use either of the following methods to download the source code: - Command line (The download takes a long time, but the procedure is simple.) In the development environment, run the following commands as a non-root user to download the source code repository: **cd $HOME** **git clone https://gitee.com/ascend/samples.git** - Compressed package (The download time is short, but the procedure is complex.) 1. Click **Clone or download** in the upper right corner of the samples repository and select **Download ZIP**. 2. Upload the .zip package to the home directory of a common user in the development environment, for example, **$HOME/ascend-samples-master.zip**. 3. In the development environment, run the following commands to decompress the .zip package: **cd $HOME** **unzip ascend-samples-master.zip** ### Deploying the Sample 1. Modify the Presenter-related configuration file. Change **presenter\_server\_ip** and **presenter\_view\_ip** in the **scripts/param.conf** file in the sample directory to the IP addresses that can be pinged in the development environment. The following two cases are used as examples: - Atlas 200 DK 1. In the development environment, run the **ifconfig** command to view available IP addresses. 2. In the development environment, change **presenter\_server\_ip** and **presenter\_view\_ip** in the **scripts/param.conf** file to the new IP addresses.  **Note:** > - 1\. If the development environment and operating environment are deployed on separate servers, the configured virtual NIC IP address is used, for example, **192.168.1.223**. > - 2\. If the development environment and operating environment are deployed on the same server, the fixed IP address of Atlas 200 DK is used, for example, **192.168.1.2**. - Atlas 300 AI accelerator card (AI1s cloud inference environment) 1. On the ECS console, check the available intranet IP address in the cloud environment of AI1s, for example, **192.168.0.198**. 2. In the development environment, change **presenter\_server\_ip** and **presenter\_view\_ip** in the **script/param.conf** file to the new IP addresses.  **Note:** > - You can also run the **ifconfig** command in the AI1s cloud environment to view the internal IP address. > - The IP address for logging in to the AI1s cloud environment is the public IP address of the environment. The IP address obtained by running the **ifconfig** command in the AI1s cloud environment is the internal IP address of the environment. 2. Set the environment variables for compiling the dependencies in the command line of the development environment. You can run the **uname -a** command in the command line to view the CPU architecture of the development environment and operating environment. If **x86\_64** is displayed in the command output, the x86 architecture is used. If **arm64** is displayed in the command output, the ARM architecture is used. Perform the following step based on the actual situation: - If the CPU architecture of the development environment is the same as that of the operating environment, run the following commands to import environment variables: **export DDK\_PATH=$HOME/Ascend/ascend-toolkit/latest/x86\_64-linux** **export NPU\_HOST\_LIB=$DDK\_PATH/acllib/lib64/stub**  Note: > - If the version is 3.0.0, change **x86\_64-linux** in the **DDK\_PATH** environment variable to **x86\_64-linux\_gcc7.3.0**. > - You can run the **uname -a** command in the command line to view the CPU architecture of the development environment and operating environment. If **x86\_64** is displayed in the command output, the x86 architecture is used. If **arm64** is displayed in the command output, the ARM architecture is used. - If the CPU architecture of the development environment is different from that of the operating environment, run the following commands to import environment variables. If the development environment uses the x86 architecture and the operating environment uses the ARM architecture, the ACLlib of the ARM toolkit needs to be called during app build time because the toolkits of both the x86 and ARM architectures are deployed in the development environment. Therefore, you need to import the path of the ARM ACLlib. **export DDK\_PATH=$HOME/Ascend/ascend-toolkit/latest/arm64-linux** **export NPU\_HOST\_LIB=$DDK\_PATH/acllib/lib64/stub**  **Note:** > - If the version is 3.0.0, change **arm64-linux** in the **DDK\_PATH** environment variable to **arm64-linux\_gcc7.3.0**. 3. Go to the **ascendcamera** directory and create a directory for storing compilation files. For example, the created directory in this document is **build/intermediates/host**. **cd $HOME/samples/cplusplus/level1\_single\_api/5\_200dk\_peripheral/ascendcamera** **mkdir -p build/intermediates/host** 4. Go to the **build/intermediates/host** directory and run the **cmake** command to generate a compilation file. - If the development environment and operating environment have the same OS architecture, run the following commands to perform compilation. **cd build/intermediates/host** **make clean** **cmake ../../../src -DCMAKE\_CXX\_COMPILER=g++ -DCMAKE\_SKIP\_RPATH=TRUE** - When the OS architecture of the development environment is different from that of the operating environment, you need to use the cross compiler for compilation. For example, if the development environment uses the x86 architecture and the operating environment uses the ARM architecture, run the following commands to perform cross compilation: **cd build/intermediates/host** **make clean** **cmake ../../../src -DCMAKE\_CXX\_COMPILER=aarch64-linux-gnu-g++ -DCMAKE\_SKIP\_RPATH=TRUE** 5. Run the **make** command. The generated executable file **main** is stored in the **ascendcamera/out** directory. **make** ### Running the Sample (Saving the Image to the Local Host) **Note: If the development environment and operating environment are deployed on the same server, skip step 1 and go to [step 2](#step_2).** 1