ESP-WHO [中文]
ESP-WHO is an image processing development platform based on Espressif chips. It contains development examples that may be applied in practical applications.
ESP-WHO provides examples such as Human Face Detection, Human Face Recognition, Cat Face Detection, Gesture Recognition, etc. You can develop a variety of practical applications based on these examples. ESP-WHO runs on ESP-IDF. ESP-DL provides rich deep learning related interfaces for ESP-WHO, which can be implemented with various peripherals to realize many interesting applications.
We recommend novice developers to use the development boards designed by Espressif. The examples provided by ESP-WHO are developed based on the following Espressif development board, and the corresponding relationships between the development boards and SoC are shown in the table below.
| SoC | ESP32 | ESP32-S2 | ESP32-S3 |
|---|---|---|---|
| Development Board | ESP-EYE | ESP32-S2-Kaluga-1 | ESP-S3-EYE |
Using a development board not mentioned in the table above, configure pins assigned to peripherals manually, such as camera, LCD, and buttons.
ESP-WHO runs on ESP-IDF. For details on getting ESP-IDF, please refer to ESP-IDF Programming Guide.
Please use the latest ESP-IDF on the release/v4.4 branch.
Run the following commands in your terminal to download ESP-WHO:
git clone --recursive https://github.com/espressif/esp-who.gitRemember to use
git submodule update --recursive --initto pull and update submodules of ESP-WHO.
All examples of ESP-WHO are stored in examples folder. Structure of this folder is shown below:
├── examples
│ ├── cat_face_detection // Cat Face Detection examples
│ │ ├── lcd // Output displayed on LCD screen
│ │ ├── web // Output displayed on web
│ │ └── terminal // Output displayed on terminal
│ ├── code_recognition // Barcode and QR Code Recognition examples
│ ├── human_face_detection // Human Face Detection examples
│ │ ├── lcd
│ │ ├── web
│ │ └── terminal
│ ├── human_face_recognition // Human Face Recognition examples
│ │ ├── lcd
│ │ ├── terminal
│ │ └── README.md // Detailed description of examples
│ └── motion_detection // Motion Detection examples
│ ├── lcd
│ ├── web
│ ├── terminal
│ └── README.rst For the development boards mentioned in Hardware, all examples are available out of the box. To run the examples, you only need to perform [Step 1: Set the target chip] (#Step-1 Set the target chip) and [Step 4: Launch and monitor] (#Step-4 Launch and monitor).
Open the terminal and go to any folder that stores examples (e.g. examples/human_face_detection/lcd). Run the following command to set the target chip:
idf.py set-target [SoC]Replace [SoC] with your target chip, e.g. esp32, esp32s2, esp32s3.
NOTE: we implement examples of target chip esp32s3 with ESP32-S3-EYE by defaults. So that flash and monitor are through USB. If you are using other board, please confirm which method you will use first,
- If by USB, just keep it in defaults,
- If by UART, set it in menuconfig.
If not using the Espressif development boards mentioned in Hardware, configure the camera pins manually. Enter idf.py menuconfig in the terminal and click (Top) -> Component config -> ESP-WHO Configuration to enter the ESP-WHO configuration interface, as shown below:
Click Camera Configuration to select the pin configuration of the camera according to the development board you use, as shown in the following figure:
If the board you are using is not shown in the figure above, please select Custom Camera Pinout and configure the corresponding pins correctly, as shown in the following figure:
If the output of example is displayed on web server, click Wi-Fi Configuration to configure Wi-Fi password and other parameters, as shown in the following figure:
Flash the program and launch IDF Monitor:
idf.py flash monitorThe default binaries for each development board are stored in the folder default_bin. You can use Flash Download Tool (https://www.espressif.com/en/support/download/other-tools) to flash binaries.
Please submit an issue if you find any problems using our products, and we will reply as soon as possible.