Typical Use Flow

Under normal circumstances, users can make use of Galaxy Vision Service in a few simple steps.

1. Click here to enter the Mi Eco Cloud homepage. Click at the avatar icon in the upper right corner for User Management. Create a user group on the left. Click at User Secret Key Tab at the bottom to generate a secret key to obtain authentication information galaxy_access_key (ID under the user secret key) and galaxy_key_secret ("Key" under the user secret key) to gain access to the relevant service.

2. Download SDK for the corresponding language and use it in your application. Take Python for example.

      from cloud_vision.visionclient import Credential, VisionClient
      import os
      credential = Credential(galaxy_access_key="YOUR_AK", galaxy_key_secret="YOUR_SK")
      # access authentication info from Fusion cloud 
      vision_client = VisionClient(credential=credential, endpoint="cnbj2.vision.api.xiaomi.com")
      # creat client using the access authentication info got from above
      with open("img_130.jpg","rb") as data:          　# Read binary information for a local image
        content = data.read()
        image = Image(content = content)
   
        detect_faces_request = DetectFacesRequest(image=image)
        faces_list = vision_client.analysis_faces(detect_faces_request)
        print faces_list
   
        detect_labels_request = DetectLabelsRequest(image=image)
        labels_list = vision_client.detect_labels(detect_labels_request)
        print labels_list.labels
   
        #parameter：image1 humanface１，image2 humanface２，face comparission pass threshold,default３５００
        face_compare_request = FaceCompareRequest(image1=image,image2=image,3500)
        match_face_result = vision_client.match_faces(face_compare_request)
        print match_face_result
   
      #parameter：fromLanguage:source language name code，toLanguage:target language name code，text: text to be translated
      nlp_translation_request = NlpTranslationRequest(fromLanguage="en",toLanguage="zh-chs",text="Hello World")
      nlp_translation_result = vision_client.nlp_translation(nlp_translation_request)
      print nlp_translation_result.result