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input_fn.py
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input_fn.py
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from PIL import Image
import numpy as np
def letterbox_image(image, size):
'''resize image with unchanged aspect ratio using padding'''
iw, ih = image.size
w, h = size
scale = min(w/iw, h/ih)
nw = int(iw*scale)
nh = int(ih*scale)
image = image.resize((nw,nh), Image.BICUBIC)
new_image = Image.new('RGB', size, (128,128,128))
new_image.paste(image, ((w-nw)//2, (h-nh)//2))
return new_image
#image = Image.open(img_path)
def preprocessing_fn(image, model_image_size=(416,416)):
if model_image_size != (None, None):
assert model_image_size[0]%32 == 0, 'Multiples of 32 required'
assert model_image_size[1]%32 == 0, 'Multiples of 32 required'
boxed_image = letterbox_image(image, tuple(reversed(model_image_size)))
else:
new_image_size = (image.width - (image.width % 32), image.height - (image.height % 32))
boxed_image = letterbox_image(image, new_image_size)
image_data = np.array(boxed_image, dtype='float32')
image_data /= 255.
return image_data
calib_image_dir = "calibrate_images"
calib_image_list = "calibrate.txt"
calib_batch_size = 8
def calib_input(iter):
images = []
line = open(calib_image_list).readlines()
for index in range(0, calib_batch_size):
curline = line[iter * calib_batch_size + index]
image_name = curline.strip()
image = Image.open(image_name)
image = preprocessing_fn(image)
images.append(image)
return {"input_1": images}