---
license: openrail
datasets:
- deepghs/anime_real_cls
metrics:
- f1
- accuracy
pipeline_tag: image-classification
tags:
- art
---

|            Name             |  FLOPS  |  Params  |  Accuracy  |  AUC   |                                                      Confusion                                                      |     Labels      |
|:---------------------------:|:-------:|:--------:|:----------:|:------:|:-------------------------------------------------------------------------------------------------------------------:|:---------------:|
|   caformer_s36_v1.3_fixed   | 22.10G  |  37.21M  |   99.08%   | 0.9989 |   [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.3_fixed/plot_confusion.png)   | `anime`, `real` |
|   caformer_s36_v1.3_fp32    | 22.10G  |  37.21M  |   99.08%   | 0.9987 |   [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.3_fp32/plot_confusion.png)    | `anime`, `real` |
|    mobilenetv3_v1.3_dist    |  0.63G  |  4.18M   |   98.29%   | 0.9977 |    [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/mobilenetv3_v1.3_dist/plot_confusion.png)    | `anime`, `real` |
|      caformer_s36_v1.3      | 22.10G  |  37.21M  |   99.06%   | 0.9987 |      [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.3/plot_confusion.png)      | `anime`, `real` |
|   caformer_s36_v1.3_ls0.1   | 22.10G  |  37.21M  |   99.10%   | 0.9972 |   [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.3_ls0.1/plot_confusion.png)   | `anime`, `real` |
|    mobilenetv3_v1.2_dist    |  0.63G  |  4.18M   |   98.63%   | 0.9984 |    [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/mobilenetv3_v1.2_dist/plot_confusion.png)    | `anime`, `real` |
|      caformer_s36_v1.2      | 22.10G  |  37.21M  |   99.08%   | 0.999  |      [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.2/plot_confusion.png)      | `anime`, `real` |
| mobilenetv3_v1.1_dist_ls0.1 |  0.63G  |  4.18M   |   98.57%   | 0.9969 | [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/mobilenetv3_v1.1_dist_ls0.1/plot_confusion.png) | `anime`, `real` |
|   caformer_s36_v1.1_ls0.1   | 22.10G  |  37.21M  |   99.03%   | 0.9979 |   [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.1_ls0.1/plot_confusion.png)   | `anime`, `real` |
|      caformer_s36_v1.1      | 22.10G  |  37.21M  |   98.51%   | 0.9971 |      [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1.1/plot_confusion.png)      | `anime`, `real` |
|       caformer_s36_v1       | 22.10G  |  37.21M  |   98.90%   | 0.9986 |       [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1/plot_confusion.png)       | `anime`, `real` |
|  mobilenetv3_v1_dist_ls0.1  |  0.63G  |  4.18M   |   98.77%   | 0.998  |  [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/mobilenetv3_v1_dist_ls0.1/plot_confusion.png)  | `anime`, `real` |
|    caformer_s36_v1_ls0.1    | 22.10G  |  37.21M  |   99.18%   | 0.9981 |    [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v1_ls0.1/plot_confusion.png)    | `anime`, `real` |
|     mobilenetv3_v0_dist     |  0.63G  |  4.18M   |   99.14%   | 0.9986 |     [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/mobilenetv3_v0_dist/plot_confusion.png)     | `anime`, `real` |
|       caformer_s36_v0       | 22.10G  |  37.21M  |   99.34%   | 0.9988 |       [confusion](https://huggingface.co/deepghs/anime_real_cls/blob/main/caformer_s36_v0/plot_confusion.png)       | `anime`, `real` |


```
import json
import numpy as np
from PIL import Image
from imgutils.data import load_image, rgb_encode
from onnxruntime import InferenceSession, SessionOptions, GraphOptimizationLevel

class Anime_Real_Cls():
    def __init__(self, model_dir):
        model_path = f'{model_dir}/model.onnx'
        self.model = self.load_local_onnx_model(model_path)
        with open(f'{model_dir}/meta.json', 'r') as f:
            self.labels = json.load(f)['labels']

    def _img_encode(self, image_path, size=(384, 384), normalize=(0.5, 0.5)):
        image = Image.open(image_path)
        image = load_image(image, mode='RGB')
        image = image.resize(size, Image.BILINEAR)
        data = rgb_encode(image, order_='CHW')
        if normalize:
            mean_, std_ = normalize
            mean = np.asarray([mean_]).reshape((-1, 1, 1))
            std = np.asarray([std_]).reshape((-1, 1, 1))
            data = (data - mean) / std
        return data.astype(np.float32)

    def load_local_onnx_model(self, model_path: str) -> InferenceSession:
        options = SessionOptions()
        options.graph_optimization_level = GraphOptimizationLevel.ORT_ENABLE_ALL
        return InferenceSession(model_path, options)

    def __call__(self, image_path):
        input_ = self._img_encode(image_path, size=(384, 384))[None, ...]
        output, = self.model.run(['output'], {'input': input_})
        values = dict(zip(self.labels, map(lambda x: x.item(), output[0])))
        print("values: ", values)
        max_key = max(values, key=values.get)
        return max_key

if __name__ == "__main__":
    classifier = Anime_Real_Cls(model_dir="./caformer_s36_v1.3_fixed")
    image_path = '1.webp'
    class_result = classifier(image_path)
    print("class_result: ", class_result)

```