measure_points_gui.py

import cv2
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import pprint
import toml
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("image_path_str", type=str, help="URL of image to be processed")
args = parser.parse_args()

local_file_path = args.image_path_str

pp = pprint.PrettyPrinter(indent=4)

# Open the TOML file
with open("config.toml", "r") as f:
    # Load the contents of the file into a dictionary
    config = toml.load(f)

image_path = Path(local_file_path)
assert image_path.exists()

points = []

img = cv2.imread(image_path.as_posix(), cv2.IMREAD_UNCHANGED)

location, street, time = image_path.stem.split("_")

print(f"{location=}, {street=}")


# Step 3: Create a mouse callback function
def mouse_callback(event, x, y, flags, param):
    if event == cv2.EVENT_LBUTTONDOWN:
        print("X: ", x, "Y: ", y)
        points.append([x, y])
        cv2.circle(img, (x, y), 5, (0, 0, 255), -1)
        cv2.imshow("image", img)


# Step 4: Create a window to display the image
cv2.namedWindow("image")

# Step 5: Set the mouse callback function to the window
cv2.setMouseCallback("image", mouse_callback)

# Step 6: Display the image in the window
cv2.imshow("image", img)

# Step 7: Wait for a key event
while True:
    if cv2.waitKey(0) & 0xFF == ord("q"):
        break

print("points = ", end="")
pp.pprint(points)


config[location][street]["points"] = points

with open("config.toml", "w") as f:
    # Write the dictionary to the file as TOML
    toml.dump(config, f)
# Step 8: Close all windows
cv2.destroyAllWindows()