def test_complex():
pae_meas = PAEMeasure(300, 200, 2, 20.0)
complex_chart = np.load('test/noised.npy')
saved_complex_res = np.asscalar(np.load('test/complex_result.npy'))
assert pae_meas.pae(complex_chart) == saved_complex_res
def test_linear():
pae_meas = PAEMeasure(300, 200, 2, 20.0)
x = np.linspace(0, 2, 300)
linear_chart = x * 0.5 - 0.5
saved_lin_res = np.asscalar(np.load('test/linear_result.npy'))
assert pae_meas.pae(linear_chart) == saved_lin_res
line_postfix = "-line.png"
area_postfix = "-area.png"
pixel_postfix = "-pixel.png"
start_step = 0
param_file = "kpi.txt"
start_time = "2017-05-01 00:00:00"
end_time = "2017-07-31 12:34:00"
min_value, max_value = 0, 21
param_lines = open(param_file).read().split("\n")
n = len(param_lines) // 3
width = 1000
height = 200
base_area_png = param_lines[0] + area_postfix
base_line_png = param_lines[0] + line_postfix
pae_meas = PAEMeasure(width, height)
stat_0 = []
def calcMSSSIM(file1, file2):
image_raw_data_1 = tf.io.gfile.GFile(file1, "rb").read()
image_raw_data_2 = tf.io.gfile.GFile(file2, "rb").read()
img_data_1 = tf.image.decode_png(image_raw_data_1)
img_data_2 = tf.image.decode_png(image_raw_data_2)
img_resized_1 = tf.image.resize(img_data_1, [width, height])
img_resized_2 = tf.image.resize(img_data_2, [width, height])
# calc MS-SSIM with default weights [0.0448,0.2856,0.3001,0.2363,0.1333]
msssim = tf.image.ssim_multiscale(img_resized_1, img_resized_2, 100)
return msssim
area_postfix = "-area.png"
pixel_postfix = "-pixel.png"
start_step = 0
param_file = "bus.txt"
start_time = "2011-04-03 00:00:00"
end_time = "2011-05-05 00:00:00"
min_value = 0
max_value = 12500
param_lines = open(param_file).read().split("\n")
n = len(param_lines) // 3
width = 1000
height = 200
base_area_png = param_lines[0] + area_postfix
base_line_png = param_lines[0] + line_postfix
pae_meas = PAEMeasure(width, height)
stat_0 = []
def calcMSSSIM(file1, file2):
image_raw_data_1 = tf.io.gfile.GFile(file1, "rb").read()
image_raw_data_2 = tf.io.gfile.GFile(file2, "rb").read()
img_data_1 = tf.image.decode_png(image_raw_data_1)
img_data_2 = tf.image.decode_png(image_raw_data_2)
img_resized_1 = tf.image.resize(img_data_1, [width, height])
img_resized_2 = tf.image.resize(img_data_2, [width, height])
# calc MS-SSIM with default weights [0.0448,0.2856,0.3001,0.2363,0.1333]
msssim = tf.image.ssim_multiscale(img_resized_1, img_resized_2, 100)
return msssim
