Cham 疾病分类器

这是一个用于疾病分类的 ONNX 模型。

模型信息

• 模型格式: ONNX
• 输入: [输入格式说明]
• 输出: [输出格式说明]

使用方法

import requests
import base64
import json

API_URL = "https://api-inference.huggingface.co/models/YooGyu/cham"
HEADERS = {"Authorization": "Bearer YOUR_API_TOKEN"}

def encode_image(image_path):
    """将图像转换为 Base64"""
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

def query(image_path):
    """API 请求及响应处理"""
    encoded_image = encode_image(image_path)
    payload = json.dumps({"inputs": encoded_image})

    response = requests.post(API_URL, headers=HEADERS, data=payload)
    return response.json()

# 示例用法
image_path = "testimage/cham.jpg"
output = query(image_path)

print(output)

许可证

[许可证信息]