Binary classification-based human portrait segmentation for complete body contour recognition and image matting.
本 Skill 提供人像分割能力,识别传入图片中人体的完整轮廓,进行抠像:
| 场景 | API | 脚本 | 图片大小限制 | 返回方式 |
|---|---|---|---|---|
| 人像分割 | SegmentPortraitPic | main.py | ≤5MB | 同步 |
本 Skill 需要腾讯云 API 密钥才能正常工作。
Linux / macOS:
export TENCENTCLOUD_SECRET_ID="你的SecretId"
export TENCENTCLOUD_SECRET_KEY="你的SecretKey"
如需持久化:
echo 'export TENCENTCLOUD_SECRET_ID="你的SecretId"' >> ~/.zshrc
echo 'export TENCENTCLOUD_SECRET_KEY="你的SecretKey"' >> ~/.zshrc
source ~/.zshrc
Windows (PowerShell):
$env:TENCENTCLOUD_SECRET_ID = "你的SecretId"
$env:TENCENTCLOUD_SECRET_KEY = "你的SecretKey"
⚠️ 安全提示:切勿将密钥硬编码在代码中。
⚠️ 本节是 Agent(AI 模型)的核心执行规范。当用户提供图片并请求人像分割时,Agent 必须严格按照以下步骤自主执行,无需询问用户确认。
main.pypython3 <SKILL_DIR>/scripts/main.py "<PIC_INPUT>"
输出示例:
{
"ResultImageUrl": "https://bda-segment-mini-1258344699.cos.ap-guangzhou.myqcloud.com/Image/1251755623/9e73b301-ad1b-4586-837b-b767e73c4bf2?q-sign-algorithm=sha1&q-ak=AKIDEJJ3lFOnfIpAHAqIJ5d3YqthGfpj8eje&q-sign-time=1772790515%3B1772792315&q-key-time=1772790515%3B1772792315&q-header-list=host&q-url-param-list=&q-signature=60646e91cdebc7215cb73e6fff6e6017478857e4",
"ResultMaskUrl": "https://bda-segment-mini-1258344699.cos.ap-guangzhou.myqcloud.com/Mask/1251755623/9e73b301-ad1b-4586-837b-b767e73c4bf2?q-sign-algorithm=sha1&q-ak=AKIDEJJ3lFOnfIpAHAqIJ5d3YqthGfpj8eje&q-sign-time=1772790515%3B1772792315&q-key-time=1772790515%3B1772792315&q-header-list=host&q-url-param-list=&q-signature=9f13ed4fa0a3d7819ec0a597ab24ef600e9e2721"
}
python3 /path/to/scripts/main.py "https://example.com/human.png"
详细的引擎类型、参数说明、错误码等信息请参阅 references/ 目录下的文档:
scripts/main.py — 人像分割脚本tencentcloud-sdk-python(腾讯云 SDK,main.py 使用)安装依赖(可选 - 脚本会自动安装):
pip install tencentcloud-sdk-python requests
ZIP package — ready to use