[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] | # Dog Detect Example A simple image inference example. In this example, we use ``dog.jpg`` for test. With default setting(iou=0.7, conf=0.6), the detection result before quantization is shown below:  And the detection result of espdet_pico_224_224_dog after int8 quantization on ESP32-P4 is as follows:  ## 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 (1600) dog_detect: [category: 0, score: 0.928409, x1: 271, y1: 108, x2: 474, y2: 395] I (1600) main_task: Returned from app_main() ``` ## Configurable Options in Menuconfig ### Component configuration We provide the models as components, each of them has some configurable options. ### 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=3.3.8:dog_detect"