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Running
on
A10G
Running
on
A10G
| import os | |
| import numpy | |
| from PIL import Image | |
| import requests | |
| import urllib.request | |
| from http import HTTPStatus | |
| from datetime import datetime | |
| import json | |
| from .log import logger | |
| import time | |
| import gradio as gr | |
| from .util import download_images | |
| API_KEY = os.getenv("API_KEY_VIRTUALMODEL") | |
| def call_person_detect(input_image_url): | |
| headers = { | |
| "Content-Type": "application/json", | |
| "Accept": "application/json", | |
| "Authorization": f"Bearer {API_KEY}", | |
| "X-DashScope-DataInspection": "enable", | |
| } | |
| data = { | |
| "model": "body-detection", | |
| "input":{ | |
| "image_url": input_image_url, | |
| }, | |
| "parameters": { | |
| "score_threshold": 0.6, | |
| } | |
| } | |
| url_create_task = 'https://dashscope.aliyuncs.com/api/v1/services/vision/bodydetection/detect' | |
| res_ = requests.post(url_create_task, data=json.dumps(data), headers=headers) | |
| res = json.loads(res_.content.decode()) | |
| request_id = res['request_id'] | |
| results = res['output']['results'] | |
| return results |