imagenet_cls

Imagenet Classification Models

Model list

Chip	MOBILENETV2_S8_V1
ESP32-S3
ESP32-P4

Model Latency

name	input(hwc)	preprocess(us)	model(us)	postprocess(us)
mobilenetv2_s8_v1_s3	224 * 224 * 3	26256	1281016	1140
mobilenetv2_s8_v1_p4	224 * 224 * 3	13467	352592	688

Model Usage

How to New ImageNetCls

ImageNetCls *cls = new ImageNetCls();

How to Classify

dl::image::img_t img = {.data=DATA, .width=WIDTH, .height=HEIGHT, .pix_type=PIX_TYPE};
std::vector<dl::cls::result_t> &res = detect->run(img);

More details, see dl::image::img_t and dl::cls::result_t.

Configurable Options in Menuconfig

See Kconfig.

Model Location

• CONFIG_IMAGENET_CLS_MODEL_IN_FLASH_RODATA
• CONFIG_IMAGENET_CLS_MODEL_IN_FLASH_PARTITION
• CONFIG_IMAGENET_CLS_MODEL_IN_SDCARD

This component supports to load model from three different locations.

Note

If model location is set to FLASH partition, partition.csv must contain a partition named imagenet_cls, and the partition should be big enough to hold the model file.

SDCard Directory

• CONFIG_IMAGENET_CLS_MODEL_SDCARD_DIR

When model locates in sdcard, you can change the model directory relative to the sdcard mount point.

The default value of this option is models/s3 for ESP32S3 and models/p4 for ESP32P4. When using default value, just copy models folder to sdcard root directory.

Note

Do not change the model name when copy the models to sdcard.