# Imagenet Classification Models
## Model list
[supported]: https://img.shields.io/badge/-supported-green "supported"
| Chip | MOBILENETV2_S8_V1 |
|----------|------------------------|
| ESP32-S3 | ![alt text][supported] |
| ESP32-P4 | ![alt text][supported] |
## Model Latency
| name | input(h*w*c) | 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`
```cpp
ImageNetCls *cls = new ImageNetCls();
```
### How to Classify
```cpp
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`](https://github.com/espressif/esp-dl/blob/master/esp-dl/vision/image/dl_image_define.hpp) and [`dl::cls::result_t`](https://github.com/espressif/esp-dl/blob/master/esp-dl/vision/classification/dl_cls_define.hpp).
# Configurable Options in Menuconfig
See [Kconfig](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](https://docs.espressif.com/projects/esp-dl/en/latest/tutorials/how_to_load_test_profile_model.html) 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](models) folder to sdcard root directory.
> [!NOTE]
> Do not change the model name when copy the models to sdcard.
9ff3eaab3e4e5a583a4db43c4001fd05022c8748
idf.py add-dependency "espressif/imagenet_cls^0.2.2"