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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):
#im = Image.open(os.path.join(input_dir, f"bg_{img_index+1}.png"))
fig, ax = plt.subplots()
#ax.imshow(im)
ax.set_aspect('equal')
plt.axis('off')
# Adjust plot limits to prevent cutoff
plt.xlim(-1500.0, 1500.0)
plt.ylim(-1000, 1000)
# Generate random positions for the shapes
positions = []
radius = 75
height, width = 1000, 1500
for i in range(n):
while True:
x, y = random.randint(-(width - radius), (width - radius)), random.randint(-(height - radius), (height-radius))
# Ensure shapes don't overlap
if all(((x - px) ** 2 + (y - py) ** 2) ** 0.5 > 2 * radius for px, py in positions) and (abs(x) > radius and abs(y) > radius):
positions.append((x, y))
break
# Draw shapes and label them
first, second, third, fourth = 0, 0, 0, 0
plt.axhline(0, color='black', linewidth=0.5)
plt.axvline(0, color='black', linewidth=0.5)
for i, (x, y) in enumerate(positions):
#color = random.choice(colours)
#shape_type = random.choice(shapes)
if x>0 and y>0:
first += 1
elif x<0 and y>0:
second += 1
elif x<0 and y<0:
third += 1
else:
fourth += 1
shape = plt.Circle((x, y), radius, color='black')
ax.add_patch(shape)
#ax.text(x, y, str(i + 1), color='white', ha='center', va='center', fontsize=8, weight='bold')
# 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()
iterable = [first, second, third, fourth]
answer = max(enumerate(iterable), key=lambda x: x[1])[0] + 1
gold_output = {
"id": filename,
"quadrant": answer,
"count": iterable[answer-1],
"num_objects": 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)
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