I am trying to generate the CLEVR dataset with some random images of rectangles and circle. When I am debugging the code for every plt.imshow() statement I can see a new image with the shape generated alongwith the shapes generated in the last executed loops. Although, to my surprise everytime the 5th image generated never shows during the debugging mode.
Also when I save the images locally I see only two objects. Please find the images for reference purposes.
import matplotlib.pyplot as plt
import cv2
import numpy as np
colors = [
(0, 0, 255), # r
(0, 255, 0), # g
(255, 0, 0), # b
(0, 156, 255), # o
(128, 128, 128), # k
(0, 255, 255) # y
]
img_size = 75
size = 5
def center_generate(objects):
while True:
pas = True
center = np.random.randint(0+size, img_size - size, 2)
if len(objects) > 0:
for name, c, shape in objects:
"""this condition checks if the new object generated is not completely covered by the already
generated objects"""
if ((center - c) ** 2).sum() < ((size * 2) ** 2):
pas = False
if pas:
return center
def build_dataset(dataset_type, loopnumber):
objects = []
img = np.ones((img_size, img_size, 3)) * 255
for color_id, color in enumerate(colors):
center = center_generate(objects)
if random.random() < 0.5:
start = (center[0]-size, center[1]-size)
end = (center[0]+size, center[1]+size)
img = cv2.rectangle(img, start, end, color, -1)
plt.imshow(img)
objects.append((color_id, center, 'r'))
else:
center_ = (center[0], center[1])
img = cv2.circle(img, center_, size, color, -1)
plt.imshow(img)
objects.append((color_id, center, 'c'))
if dataset_type == 'test':
plt.imsave('..\\img\\test\\img_' + str(loop) + '.jpeg', img)
else:
plt.imsave('..\\img\\train\\img_' + str(loop) + '.jpeg', img)
The image generated during debugging.

Image stored locally.
Could anyone explain the issue here? Thanks
