Affine transform with python opencv

affine.py

import pyproj
import cv2
import numpy as np
import csv

EPSG5174 = pyproj.Proj("+proj=tmerc +lat_0=38 +lon_0=127.0028902777778 +k=1 +x_0=200000 +y_0=500000 +ellps=bessel +towgs84=-115.80,474.99,674.11,1.16,-2.31,-1.63,6.43 +units=m +no_defs")
EPSG5179 = pyproj.Proj("+proj=tmerc +lat_0=38 +lon_0=127.5 +k=0.9996 +x_0=1000000 +y_0=2000000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs") # UTMK
EPSG5186 = pyproj.Proj("+proj=tmerc +lat_0=38 +lon_0=127 +k=1 +x_0=200000 +y_0=600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs")

fromarray = []
toarray = []

scale = 0.005

links = ['uleungdo_links.csv', 'dokdo_links.csv']

with open(links[1], mode='r', newline='') as f:
  reader = csv.reader(f, delimiter=',')

  for row in reader:
    idx, x1, y1, x2, y2 = row
    x1, y1 = pyproj.transform(EPSG5186, EPSG5179, x1, y1)
    x2, y2 = pyproj.transform(EPSG5186, EPSG5179, x2, y2)
    fromarray.append([float(x1), float(y1)])
    toarray.append([float(x2), float(y2)])

# img = cv2.imread('input.jpg')
# rows, cols = img.shape[:2]

src_points = np.float32(fromarray)
dst_points = np.float32(toarray)

# affine_matrix, mask = cv2.findHomography(src_points, dst_points)
affine_matrix = cv2.getAffineTransform(src_points, dst_points)

print(affine_matrix)
# img_output = cv2.warpPerspective(img, affine_matrix, (cols, rows))
# img_output = cv2.warpAffine(img, affine_matrix, (cols, rows))

# cv2.imwrite('output.jpg', img_output)

requirements.txt

numpy==1.14.1
opencv-python==3.4.0.12
pkg-resources==0.0.0
pyproj==1.9.5.1

setup.sh

virtualenv -p /usr/bin/python3 venv
source venv/bin/activate
pip install opencv-python numpy pyproj