How do you implement the R precision for CUB dataset?How many images have you generated?

[fm5o1]

Please someone help me.
The validation set for CUB is 2933, How many images have you generated to calculate the R precision? 30000?
in code, How much have you considered the size of R? Is the condition of 30,000 considered?
`R_count = 0
R = np.zeros(2928)
.
.
.

if R_count >= 30000:
sum = np.zeros(8)
np.random.shuffle(R)
for i in range(8):
sum[i] = np.average(R[i * 3000:(i + 1) * 3000- 1])
R_mean = np.average(sum)*100
R_std = np.std(sum)*100
print("R mean:{:.2f} std:{:.2f}".format(R_mean, R_std))
cont = False
`