#!/usr/bin/env python2
# -*- coding: utf-8 -*-
import argparse
import os
import cv2
import numpy as np
import cv_tools as cvt
from common import DebugLog
debug_log = DebugLog()
def main():
opt = process_command_line()
print opt
targets = sorted(set(opt.files) - set([
opt.reference,
]))
image0 = cvt.file_to_cv2(opt.reference)
for image_fi in targets:
basename = os.path.basename(image_fi)
debug_log("Matching", os.path.basename(opt.reference), "with",
basename)
image = cvt.file_to_cv2(image_fi)
# Importando funciones de otros archivos
from camera_cv_tools import CameraLink
from camera_cv_tools import color_to_gray
from common import DebugLog, get_utc_now_ms
import dft_stitch as dft
import motor_api
from motor_uart import MotorLink
from sweep_controller import SweepController
"""
=============================
Variables Globales
=============================
"""
debug_loggin = DebugLog()
# Llaves son los websockets y los valores son los tipos de cliente
websockets = dict()
# Guardando los objetos globales
objects = dict()
# Para este uso del metodo MotorLink, debemos ver que TTY representa el microscopio y el otro argumento son los baudrate
motor_execution = MotorLink("/dev/ttyACM0", 250000)
# Esto se tiene que cambiar cuando se quite el sh
# path_to_download_image = '../images'
"""
============================
Codigo Valioso
============================
