[supported]: https://img.shields.io/badge/-supported-green "supported" | Chip | ESP-IDF v5.3 | ESP-IDF v5.4 | |----------|------------------------|------------------------| | ESP32-S3 | ![alt text][supported] | ![alt text][supported] | | ESP32-P4 | ![alt text][supported] | ![alt text][supported] | # IMAGENET classification Example A simple image inference example. ## Quick start Follow the [quick start](https://docs.espressif.com/projects/esp-dl/en/latest/getting_started/readme.html#quick-start) to flash the example, you will see the output in idf monitor: ``` I (2270) imagenet_cls: category: tabby, score: 0.356466 I (2270) imagenet_cls: category: lynx, score: 0.216208 I (2270) imagenet_cls: category: Egyptian_cat, score: 0.168383 I (2280) imagenet_cls: category: tiger_cat, score: 0.131137 I (2280) imagenet_cls: category: window_screen, score: 0.029261 ``` ## Configurable Options in Menuconfig ### Component configuration We provide the models as components, each of them has some configurable options. See [ImageNet Cls Model](https://github.com/espressif/esp-dl/blob/master/models/imagenet_cls/README.md)。 ### Project configuration - CONFIG_PARTITION_TABLE_CUSTOM_FILENAME If model location is set to FLASH partition, please set this option to `partitions2.csv`
To create a project from this example, run:
idf.py create-project-from-example "espressif/esp-dl=3.1.2:mobilenetv2_cls"