File size: 3,319 Bytes
02f1218
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
import matplotlib.pyplot as plt
import PIL
from PIL import Image
import random
import numpy as np
import os
import json
import argparse

def generate_shapes(num_images, num_objects_list , file):
    # Set up the plot

    output_dir = os.path.join(os.getcwd(), "data")
    input_dir = os.path.join(os.getcwd(), "background_image")
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)

    data = []
    append = (file != 1)

    for n in num_objects_list:
        for img_index in range(num_images):
            fig, ax = plt.subplots()
            ax.set_aspect('equal')
            plt.axis('off')

            # Adjust plot limits to prevent cutoff
            plt.xlim(-0.7, 1.4)
            plt.ylim(-0.7, 1.4)

            # Generate random positions for the shapes
            positions = []
            radii = []
            gold_answer = 0
            for i in range(n):
                x, y = random.uniform(0.1, 0.9), random.uniform(0.1, 0.9)
                positions.append((x, y))
                radius = random.uniform(0.1, 0.5)
                radii.append(radius)

            # Draw shapes and label them
            cx, cy = random.uniform(0.1, 0.9), random.uniform(0.1, 0.9)
            ax.add_patch(plt.Circle((cx, cy), 0.05, color='red'))
            for i, (x, y) in enumerate(positions):
                shape = plt.Circle((x, y), radii[i], color='black', fill=False)
                ax.add_patch(shape)
                
                if ((cx - x)**2 + (cy - y)**2)**0.5 < radii[i]:
                    gold_answer += 1

            # Save the plot to a file
            filename = f"{file}.png"
            file += 1
            filepath = os.path.join(output_dir, filename)
            plt.savefig(filepath, bbox_inches='tight')
            plt.close()
            answer = False
            if gold_answer == 0:
                answer = False
            else:
                answer = True

            gold_output = {
                "id": filename,
                "inside_circles": answer,
                "num_circles": n
            }
            data.append(gold_output)


    if append:
        with open(os.path.join(os.getcwd() , "data.json"), "r") as f:
            old_data = json.load(f)
            old_data.extend(data)
        with open(os.path.join(os.getcwd() , "data.json"), "w") as f:
            json.dump(old_data, f, indent=2)
    else:
        with open(os.path.join(os.getcwd() , "data.json"), "w") as f:
            json.dump(data, f, indent=2)



# # Example usage
# generate_shapes(10, 'shapes.png')
if __name__ == "__main__":
    # Parse command line arguments
    parser = argparse.ArgumentParser(description='Create an image of different objects')
    parser.add_argument(
        '--num_images', 
        type=int, 
        help='Number of images to generate',
        default=1
    )
    parser.add_argument(
        '--num_sizes', 
        nargs='*', 
        type=int,
        help='List of count of objects',
        default=[5]
    )
    parser.add_argument(
        '--file', 
        type=int, 
        help='Starting file number',
        default=1
    )
    args = parser.parse_args()
    file = args.file
    num_object_list = args.num_sizes
    append = (file != 1)
    generate_shapes(args.num_images, num_object_list , file)