Image Processing

import json
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.mps.v20190612 import mps_client, models

cred = credential.Credential("<SecretId>", "<SecretKey>")
http_profile = HttpProfile()
http_profile.endpoint = "mps.tencentcloudapi.com"
client = mps_client.MpsClient(cred, "ap-guangzhou", ClientProfile(httpProfile=http_profile))

# 종합 화질 개선 + 노이즈 제거 + WebP 변환 조합
params = {
    "InputInfo": {
        "Type": "URL",
        "UrlInputInfo": {"Url": "https://example.com/image.jpg"}
    },
    "OutputStorage": {
        "Type": "COS",
        "CosOutputStorage": {"Bucket": "mybucket-125xxx", "Region": "ap-guangzhou"}
    },
    "OutputDir": "/output/image/",
    "ImageTask": {
        "EncodeConfig": {"Format": "WebP", "Quality": 80},
        "EnhanceConfig": {
            "ImageQualityEnhance": {"Switch": "ON", "Type": "normal"},
            "Denoise": {"Switch": "ON", "Type": "weak"},
            "ColorEnhance": {"Switch": "ON", "Type": "normal"},
            "SharpEnhance": {"Switch": "ON", "Intensity": 0.8}
        }
    }
}

req = models.ProcessImageRequest()
req.from_json_string(json.dumps(params))
resp = client.ProcessImage(req)
print(resp.to_json_string())

# 고급 슈퍼해상도: 4K 목표 크기 지정
params["ImageTask"] = {
    "EnhanceConfig": {
        "AdvancedSuperResolutionConfig": {
            "Switch": "ON",
            "Type": "standard",
            "Mode": "aspect",
            "Width": 3840,
            "Height": 2160
        }
    }
}

# 오케스트레이션 시나리오: AI 이미지 복원 (입력 + ScheduleId만 전달)
params = {
    "InputInfo": {
        "Type": "URL",
        "UrlInputInfo": {"Url": "https://example.com/old_photo.jpg"}
    },
    "OutputStorage": {
        "Type": "COS",
        "CosOutputStorage": {"Bucket": "mybucket-125xxx", "Region": "ap-guangzhou"}
    },
    "OutputDir": "/output/image/",
    "ScheduleId": 30040
}

# 태스크 결과 조회
query = models.DescribeImageTaskDetailRequest()
query.from_json_string(json.dumps({"TaskId": "<TaskId>"}))
detail = client.DescribeImageTaskDetail(query)
print(detail.to_json_string())

{
  "Response": {
    "TaskId": "1234567890-Image Task-80108cc3380155d98b2e3573a48a",
    "RequestId": "3c140219-cfe9-470e-b241-907877d6fb03"
  }
}

{
  "TaskId": "1234567890-Image Task-80108cc3380155d98b2e3573a48a",
  "Status": "FINISH",
  "CreateTime": "2025-05-21T10:00:00Z",
  "FinishTime": "2025-05-21T10:00:05Z",
  "Outputs": [
    {
      "bucket": "mps-bucket-125xxx",
      "region": "ap-guangzhou",
      "path": "/output/image/result.webp",
      "cos_uri": "cos://mps-bucket-125xxx/output/image/result.webp",
      "url": "https://mps-bucket-125xxx.cos.ap-guangzhou.myqcloud.com/output/image/result.webp"
    }
  ]
}