参考仓库: https://github.com/rzeldent/esp32cam-rtsp

Objective

Stream video through wifi using ESP-32-CAM.
The video sources can be accessed by an ip address.

Implemenation

Install PlatformIO plugin in vscode.
Clone the repository

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git clone --recursive https://github.com/rzeldent/esp32cam-rtsp.git

Use vscode pio to open the project. Wait pio till its configuration is done.

Change the default_envs settings, here I use esp32cam_ai_thinker

If no default_envs is specified, pio will build the project for all platforms

Here we can build and upload the program to the board.

Connect to ESP**** WiFi, and visit http://192.168.4.1 to configure the wifi settings of the board. I choose to my phone’s hot spot.

Then open the monitor to check the ip address (you need to connect your computer to the same LAN (local area network) to visit the ip)

Visit the 192.168.23.142 and you will see the page (similar with the page of http://192.168.4.1):

Click rtsp://192.168.23.197:554/mjpeg/1 and you will see the streaming video:

生无可恋做横向.jpg

Standard Toolchain Setup

Guide: https://docs.espressif.com/projects/esp-idf/en/stable/esp32/get-started/linux-macos-setup.html#

ESP_IDF

I directly download the archive with all the submodules included: https://github.com/espressif/esp-idf/releases/tag/v5.3.1

This archive can also be downloaded from Espressif’s download server: https://dl.espressif.com/github_assets/espressif/esp-idf/releases/download/v5.3.1/esp-idf-v5.3.1.zip

cd into the unzip folder (The installation will fail in conda venv)

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conda deactivate
./install.sh
. ./export.sh

In ~/.zshrc

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alias get_idf='. $HOME/esp/esp-idf-v5.3.1/export.sh'

Then each time I need to setup esp32 development environment, I only need to type get_idf.

Some useful commands

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idf.py set-target esp32
idf.py menuconfig
idf.py build
idf.py -p /dev/ttyUSB0 -b 115200 flash
idf.py -p /dev/ttyUSB0 -b monitor
idf.py -p /dev/ttyUSB0 flash monitor # combine together

PlatformIO

事实证明pio是最方便的。。
事前安装过pio的vscode插件，直接打开pio的esp32项目就直接可以编译上传以及查看串口监视器。