1. 数据类型 type()

#!/usr/bin/env python

# -*- coding: utf-8 -*-

# Yongqiang Cheng

from __future__ import absolute_import

from __future__ import print_function

from __future__ import division

import os

import sys

sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..')

current_directory = os.path.dirname(os.path.abspath(__file__))

import numpy as np

# import tensorflow as tf

import cv2

import time

print(16 * "++--")

print("current_directory:", current_directory)

PIXEL_MEAN = [123.68, 116.779, 103.939] # R, G, B. In TensorFlow, channel is RGB. In OpenCV, channel is BGR.

print("Python list")

print("PIXEL_MEAN:", PIXEL_MEAN)

print("type(PIXEL_MEAN):", type(PIXEL_MEAN))

print("type(PIXEL_MEAN[0]):", type(PIXEL_MEAN[0]), "\n")

PIXEL_MEAN_array = np.array(PIXEL_MEAN)

print("NumPy array")

print("PIXEL_MEAN_array:", PIXEL_MEAN_array)

print("type(PIXEL_MEAN_array):", type(PIXEL_MEAN_array))

print("type(PIXEL_MEAN_array[0]):", type(PIXEL_MEAN_array[0]))

print("PIXEL_MEAN_array.dtype:", PIXEL_MEAN_array.dtype)

/usr/bin/python2.7 /home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow/yongqiang.py --gpu=0

++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--

current_directory: /home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow

Python list

PIXEL_MEAN: [123.68, 116.779, 103.939]

type(PIXEL_MEAN):

type(PIXEL_MEAN[0]):

NumPy array

PIXEL_MEAN_array: [123.68 116.779 103.939]

type(PIXEL_MEAN_array):

type(PIXEL_MEAN_array[0]):

PIXEL_MEAN_array.dtype: float64

Process finished with exit code 0

2. 数据融合 (data fusion)

#!/usr/bin/env python

# -*- coding: utf-8 -*-

# Yongqiang Cheng

from __future__ import absolute_import

from __future__ import print_function

from __future__ import division

import os

import sys

sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..')

current_directory = os.path.dirname(os.path.abspath(__file__))

import numpy as np

# import tensorflow as tf

import cv2

import time

print(16 * "++--")

print("current_directory:", current_directory)

PIXEL_MEAN = [123.68, 116.779, 103.939] # R, G, B. In TensorFlow, channel is RGB. In OpenCV, channel is BGR.

print("Python list")

print("PIXEL_MEAN:", PIXEL_MEAN)

print("type(PIXEL_MEAN):", type(PIXEL_MEAN))

print("type(PIXEL_MEAN[0]):", type(PIXEL_MEAN[0]), "\n")

PIXEL_MEAN_array = np.array(PIXEL_MEAN)

print("NumPy array")

print("PIXEL_MEAN_array:", PIXEL_MEAN_array)

print("type(PIXEL_MEAN_array):", type(PIXEL_MEAN_array))

print("type(PIXEL_MEAN_array[0]):", type(PIXEL_MEAN_array[0]))

print("PIXEL_MEAN_array.dtype:", PIXEL_MEAN_array.dtype, "\n")

image_array = np.array(

[[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], [[21, 22, 23], [24, 25, 26], [27, 28, 29], [30, 31, 32]]])

print("image_array:", image_array)

print("type(image_array):", type(image_array))

print("type(image_array[0]):", type(image_array[0]))

print("image_array.dtype:", image_array.dtype, "\n")

image_array_fusion = image_array + np.array(PIXEL_MEAN)

print("image_array_fusion:", image_array_fusion)

print("type(image_array_fusion):", type(image_array_fusion))

print("type(image_array_fusion[0]):", type(image_array_fusion[0]))

print("image_array_fusion.dtype:", image_array_fusion.dtype)

/usr/bin/python2.7 /home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow/yongqiang.py --gpu=0

++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--

current_directory: /home/strong/tensorflow_work/R2CNN_Faster-RCNN_Tensorflow

Python list

PIXEL_MEAN: [123.68, 116.779, 103.939]

type(PIXEL_MEAN):

type(PIXEL_MEAN[0]):

NumPy array

PIXEL_MEAN_array: [123.68 116.779 103.939]

type(PIXEL_MEAN_array):

type(PIXEL_MEAN_array[0]):

PIXEL_MEAN_array.dtype: float64

image_array: [[[ 1 2 3]

[ 4 5 6]

[ 7 8 9]

[10 11 12]]

[[21 22 23]

[24 25 26]

[27 28 29]

[30 31 32]]]

type(image_array):

type(image_array[0]):

image_array.dtype: int64

image_array_fusion: [[[124.68 118.779 106.939]

[127.68 121.779 109.939]

[130.68 124.779 112.939]

[133.68 127.779 115.939]]

[[144.68 138.779 126.939]

[147.68 141.779 129.939]

[150.68 144.779 132.939]

[153.68 147.779 135.939]]]

type(image_array_fusion):

type(image_array_fusion[0]):

image_array_fusion.dtype: float64

Process finished with exit code 0

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持聚米学院。