PREREQUISITES¶

Current build environment¶

All three projects target ESP32-S3 and record CONFIG_IDF_INIT_VERSION="6.0.0"; CI pins ESP-IDF v6.0. Component directories, CMake files, dependency locks and sdkconfig define the build. Activate the matching toolchain before building a selected project.

AI tensors and training workspaces require sufficient heap. Check PSRAM settings against the actual board. Begin Math/DSP testing with small inputs. Hardware pictures illustrate development platforms rather than verified board compatibility.

Getting started · Projects

Original environment and dependency notes¶

The earlier hardware and component acquisition notes below remain for reference. Copied components do not remove every configuration or version constraint; current build files remain authoritative.

HARDWARE AND SOFTWARE REQUIREMENTS¶

ESP32 development board, please refer to the following projects for details:

We will build upon the code in this project for further development.

DEPENDENCY COMPONENTS¶

To enhance the computational efficiency of our framework, we first introduce the ESP-DSP library and ESP-DL library, which provide efficient implementations for digital signal processing and deep learning respectively.

- espressif__esp-dsp
- espressif__esp-dl
   - espressif__dl_fft
   - espressif__esp_new_jpeg

We can find and download these components from the ESP-REGISTRY into our project. In this project, I moved the downloaded components and their dependencies into the middleware folder and removed the configuration files to avoid version locking and network dependencies.