hayatoy

import base64
import io
import json
from PIL import Image
from google.cloud import aiplatform

PROJECT_ID = ""
LOCATION = "us-central1"
ENDPOINT_ID = ""

hayatoy

@app.route('/predict',methods=['GET','POST'])
def predict():
  # Decode image
  request_json = request.get_json(silent=True, force=True)
  data = request_json['instances']
  decoded = base64.urlsafe_b64decode(data[0]["b64"])
  img_in_bytes = io.BytesIO(decoded)
  img = Image.open(img_in_bytes).convert('RGB')
  
  # Generate Anime image

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for foo in camera.capture_continuous(stream,
                                     format='rgb',
                                     use_video_port=True):
  # Make Image object from camera stream
  stream.truncate()
  stream.seek(0)
  input = np.frombuffer(stream.getvalue(), dtype=np.uint8)
  input = input.reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3))
  image = Image.fromarray(input)
  # image.save("out.jpg")

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import apache_beam as beam
import apache_beam.transforms.window as window

options = beam.utils.pipeline_options.PipelineOptions()

google_cloud_options = options.view_as(beam.utils.pipeline_options.GoogleCloudOptions)
google_cloud_options.project = '{PROJECTID}'
google_cloud_options.job_name = 'tensorflow-gs'
google_cloud_options.staging_location = 'gs://{BUCKET_NAME}/binaries'
google_cloud_options.temp_location = 'gs://{BUCKET_NAME}/temp'