code: def detect_faces_in_image(file_stream):
      # Pre-calculated face encoding of Obama generated with face_recognition.face_encodings(img)
      known_face_encoding = [
          -0.09634063,
          0.12095481,
          -0.00436332,
          -0.07643753,
          0.0080383,
          0.01902981,
          -0.07184699,
          -0.09383309,
          0.18518871,
          -0.09588896,
          0.23951106,
          0.0986533,
          -0.22114635,
          -0.1363683,
          0.04405268,
          0.11574756,
          -0.19899382,
          -0.09597053,
          -0.11969153,
          -0.12277931,
          0.03416885,
          -0.00267565,
          0.09203379,
          0.04713435,
          -0.12731361,
          -0.35371891,
          -0.0503444,
          -0.17841317,
          -0.00310897,
          -0.09844551,
          -0.06910533,
          -0.00503746,
          -0.18466514,
          -0.09851682,
          0.02903969,
          -0.02174894,
          0.02261871,
          0.0032102,
          0.20312519,
          0.02999607,
          -0.11646006,
          0.09432904,
          0.02774341,
          0.22102901,
          0.26725179,
          0.06896867,
          -0.00490024,
          -0.09441824,
          0.11115381,
          -0.22592428,
          0.06230862,
          0.16559327,
          0.06232892,
          0.03458837,
          0.09459756,
          -0.18777156,
          0.00654241,
          0.08582542,
          -0.13578284,
          0.0150229,
          0.00670836,
          -0.08195844,
          -0.04346499,
          0.03347827,
          0.20310158,
          0.09987706,
          -0.12370517,
          -0.06683611,
          0.12704916,
          -0.02160804,
          0.00984683,
          0.00766284,
          -0.18980607,
          -0.19641446,
          -0.22800779,
          0.09010898,
          0.39178532,
          0.18818057,
          -0.20875394,
          0.03097027,
          -0.21300618,
          0.02532415,
          0.07938635,
          0.01000703,
          -0.07719778,
          -0.12651891,
          -0.04318593,
          0.06219772,
          0.09163868,
          0.05039065,
          -0.04922386,
          0.21839413,
          -0.02394437,
          0.06173781,
          0.0292527,
          0.06160797,
          -0.15553983,
          -0.02440624,
          -0.17509389,
          -0.0630486,
          0.01428208,
          -0.03637431,
          0.03971229,
          0.13983178,
          -0.23006812,
          0.04999552,
          0.0108454,
          -0.03970895,
          0.02501768,
          0.08157793,
          -0.03224047,
          -0.04502571,
          0.0556995,
          -0.24374914,
          0.25514284,
          0.24795187,
          0.04060191,
          0.17597422,
          0.07966681,
          0.01920104,
          -0.01194376,
          -0.02300822,
          -0.17204897,
          -0.0596558,
          0.05307484,
          0.07417042,
          0.07126575,
          0.00209804,
      ]
  
      # Load the uploaded image file
      img = face_recognition.load_image_file(file_stream)
      # Get face encodings for any faces in the uploaded image
      unknown_face_encodings = face_recognition.face_encodings(img)
  
      face_found = False
      is_obama = False
  
      if len(unknown_face_encodings) > 0:
          face_found = True
          # See if the first face in the uploaded image matches the known face of Obama
          match_results = face_recognition.compare_faces(
              [known_face_encoding], unknown_face_encodings[0]
          )
          if match_results[0]:
              is_obama = True
  
      # Return the result as json
      result = {
          "face_found_in_image": face_found,
          "is_picture_of_obama": is_obama,
      }
      return jsonify(result)
  
imports: import face_recognition
  from flask import Flask, jsonify, request, redirect
label_desc: Use image node_id 3 for calling a global function with example usage: detect_faces_in_image(file_stream) and returns: jsonify