def load_data(self, filename):
"""
load_data
"""
image = process_image(filename, 224)
tensor = core.PaddleTensor()
print(len(image))
tensor.shape = [1, 3, 224, 224]
tensor.data = core.PaddleBuf(image.tolist())
tensor.dtype = core.PaddleDType.FLOAT32
tensor.lod = [[0L, 1L]]
return [tensor]
def load_data(self, filename):
"""
load_data
"""
image = process_image(filename, 224)
image_tensor = core.PaddleTensor()
image_tensor.name = 'image'
image_tensor.shape = [1, 3, 224, 224]
image_tensor.data = core.PaddleBuf(image.tolist())
image_tensor.dtype = core.PaddleDType.FLOAT32
#im-info
im_info_tensor = core.PaddleTensor()
im_info_tensor.shape = [1, 3]
im_info_tensor.name = "im_info"
im_info_tensor.data = core.PaddleBuf([224., 224., 1.0])
im_info_tensor.dtype = core.PaddleDType.FLOAT32
return [image_tensor, im_info_tensor]
def images_to_tensor(self):
images = []
for file in sorted(os.listdir('data/jaffe_images_small')):
if (file != '.DS_Store'):
image = matplotlib.image.imread('data/jaffe_images_small/' +
file) # read images
if (len(np.shape(image)) > 2):
image = image[:, :, 0]
image = image.tolist() # convert to list ?
image = imresize(image, (48, 48)) # compress to 48*48 pixel
images.append(image)
image_tensor = np.array(images)
image_tensor = image_tensor - np.mean(image_tensor, axis=0) # ???
image_tensor = image_tensor.reshape(
213, 48, 48,
1) # 213 images in data/jaffe_images_small, each one 48*48 pixel
return image_tensor
def load_data(self, filename):
"""
load_data
"""
image = process_image(filename, 224)
image_tensor = core.PaddleTensor()
image_tensor.name = 'image'
image_tensor.shape = [1, 3, 224, 224]
image_tensor.data = core.PaddleBuf(image.tolist())
image_tensor.dtype = core.PaddleDType.FLOAT32
#image_shspe
im_shape_tensor = core.PaddleTensor()
im_shape_tensor.shape = [1, 2]
im_shape_tensor.name = "im_shape"
im_shape_tensor.data = core.PaddleBuf([224, 224])
im_shape_tensor.dtype = core.PaddleDType.INT32
#im_id
im_id_tensor = core.PaddleTensor()
im_id_tensor.shape = [1, 1]
im_id_tensor.name = "im_id"
im_id_tensor.data = core.PaddleBuf([1,])
im_id_tensor.dtype = core.PaddleDType.INT32
return [image_tensor, im_shape_tensor]
import numpy as np
from scipy.misc import imresize
import matplotlib.image
import matplotlib.pyplot
image = matplotlib.image.imread('data/jaffe_images_small/NA.SA2.206.tiff')
print image
#matplotlib.pyplot.imshow(image)
image = image.tolist()
image = imresize(image, (48, 48))
print image
matplotlib.pyplot.imshow(image)