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benign_augmentation.py
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/
benign_augmentation.py
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import pickle
import numpy as np
from PIL import Image
import random
np.set_printoptions(threshold=np.nan)
benigns = pickle.load(open("/home/lgy1425/p1/total/benign_train.txt"))['x']
extension = []
for b in benigns :
horizontal_flip = np.fliplr(np.array(b))
b70 = np.array(b).astype(float)*float(0.7)
x = random.randrange(5,15)
y = random.randrange(5,15)
cropped = np.array(b)[x:x+30,y:y+30]
cropped = Image.fromarray(np.uint8(b*255))
zoom = cropped.resize((50,50))
zoom = np.asarray(zoom, dtype=np.float16) / float(223)
i = Image.fromarray(np.uint8(b*255))
t30 = i.rotate(30)
for y in range(t30.size[1] ):
for x in range(t30.size[0] ):
color = t30.getpixel((x, y))
if color == 0:
t30.putpixel((x, y), random.randrange(1,11))
tilt30 = np.asarray(t30,dtype=np.float16) / float(223)
t45 = i.rotate(45)
for y in range(t45.size[1]):
for x in range(t45.size[0]):
color = t45.getpixel((x, y))
if color == 0:
t45.putpixel((x, y), random.randrange(1, 11))
tilt45 = np.asarray(t45, dtype=np.float16) / float(223)
#extension.append(horizontal_flip)
extension.append(b70)
extension.append(b130)
#extension.append(zoom)
extension.append(tilt20)
extension.append(tilt40)
extension.append(tilt_30)
y_arr = np.full((len(extension),3),[0,1,0])
result = {"x":np.array(extension,dtype=np.float16),"y":y_arr}
print np.array(extension).shape,y_arr.shape
pickle.dump(result,open("/home/lgy1425/p1/total/benign_extension4.txt",'w'))