advancedskrald/adapter.py

import base64
import json

import cv2
import sys
import numpy as np

from runner import warp_board


# Load base64 encoded image from stdin
stdin = sys.stdin.readline()
stdin_decoded = base64.b64decode(stdin)
img_array = np.frombuffer(stdin_decoded, dtype=np.uint8)
camera_img = cv2.imdecode(img_array, flags=cv2.COLOR_BGR2RGB)
camera_img = cv2.cvtColor(camera_img, cv2.COLOR_BGR2RGB)

# Warp board, saving the homography points as well
src_points = dst_points = []
#cv2.imshow("ppslpsl", camera_img)
#cv2.waitKey(0)

points1, points2 = warp_board(camera_img, src_points=src_points, dst_points=dst_points, short_circuit=True)

# Finally, output to stdout for unity to read
result = {
    "src_points": [p.tolist() for p in points1],
    "dst_points": [p.tolist() for p in points2],
}

print(json.dumps(result))