tiff file feeder

tifffeeder.py

import sys
import numpy
from datetime import datetime
from flask import Blueprint, Flask, make_response, request
from tifffile import TiffFile

# BSD Licensed

bp = Blueprint('SimulatedCameraImageFeeder', __name__)

current_slice = 0

@bp.route('/')
def image():
    width = int(request.args.get('width'))
    height = int(request.args.get('height'))
    depth = int(request.args.get('depth'))
    channel = int(request.args.get('channel'))
    x = float(request.args.get('x'))
    y = float(request.args.get('y'))
    z = float(request.args.get('z'))

    depth_map = {
        1: numpy.uint8,
        2: numpy.uint16
    }

    result = numpy.zeros((height, width,), depth_map[depth])

    global current_slice

    if current_slice >= image_data.shape[0]:
        current_slice = 0

    image = image_data[current_slice]
    
    current_slice += 1

    result[:min(image.shape[0], result.shape[0]), :min(image.shape[1], result.shape[1])] = \
        image[:min(image.shape[0], result.shape[0]), :min(image.shape[1], result.shape[1])]

    return make_response(result.tostring())

def main():
    global image_data
    
    if len(sys.argv) < 2:
        print("Usage:\n%s file_to_serve.tiff <host:port>" % (sys.argv[0],))
        return

    if len(sys.argv) < 3:
        host_port = 'localhost:8555'
    else:
        host_port = sys.argv[2]

    host, port = host_port.split(':')

    # important: this is dependent on the layout of the tiff file
    # this should work with tiff files saved with ImageJ

    image_data = TiffFile(sys.argv[1]).pages[0].asarray()

    app = Flask(__name__)
    app.register_blueprint(bp)
    app.run(debug=True, host=host, port=int(port))

if __name__ == '__main__':
    main()

Hi Christian,
The simulating camera works great! I had to modify this tifffeeder.py script, however, to work with tifffile 0.14.0:

Line 35

image = image_data[current_slice,:,:]

Line 61

image_data = TiffFile(sys.argv[1]).asarray()