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def eraser(input_img):
img_h, img_w, img_c = input_img.shape
p_1 = np.random.rand()
if p_1 > p:
return input_img
else:
while 1:
s = np.random.uniform(s_l, s_h) * img_h * img_w
r = np.random.uniform(r_1, r_2)
w = int(np.sqrt(s / r))
h = int(np.sqrt(s * r))
left = np.random.randint(0, img_w)
top = np.random.randint(0, img_h)
if left + w <= img_w:
if top + h <= img_h:
break
if pixel_level:
c = np.random.uniform(v_l, v_h, (h, w, img_c))
else:
c = np.random.uniform(v_l, v_h)
input_img[top:top + h, left:left + w, :] = c
return input_img
return eraser
The text was updated successfully, but these errors were encountered:
from data import get_train_transform, get_test_transform
from data import get_random_eraser
import numpy as np
def get_random_eraser(p=0.5, s_l=0.02, s_h=0.4, r_1=0.3, r_2=3.3333333333333335, v_l=0, v_h=255, pixel_level=False):
The text was updated successfully, but these errors were encountered: