You are using staging server - a separate instance of the ESP Component Registry that allows you to try distribution tools and processes without affecting the real registry.
[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 (1637) dog_detect: [category: 0, score: 0.880797, x1: 265, y1: 110, x2: 471, y2: 388] I (1647) 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 "100312dog/esp-dl=3.3.0:dog_detect"