Add turbo color map

blueoil/common.py

@@ -16,8 +16,11 @@
 from __future__ import division
 
 import math
+import numpy as np
 from enum import Enum
 
+from blueoil.turbo_color_map import TURBO_CMAP_DATA
+
 
 class Tasks(Enum):
     CLASSIFICATION = "IMAGE.CLASSIFICATION"
@@ -57,3 +60,45 @@ def get_color_map(length):
     # This function generate arbitrary length color map.
     color_map = COLOR_MAP * int(math.ceil(length / len(COLOR_MAP)))
     return color_map[:length]
+
+
+# For replacing the Matplotlib Jet colormap, we use the Turbo color map
+# https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html
+# The colormap allows for a large number of quantization levels:
+# https://github.com/blue-oil/blueoil/tree/master/docs/_static/turbo_cmap.png
+
+# Referred from the following gist:
+# https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f
+# Copyright 2019 Google LLC.
+# SPDX-License-Identifier: Apache-2.0
+
+# Changes:
+# 1. Vectorized the implementation using numpy
+# 2. Use numpy.modf to get integer and float parts
+# 3. Provided an example in comments
+
+def apply_color_map(image):
+    turbo_cmap_data = np.asarray(TURBO_CMAP_DATA)
+    x = np.asarray(image)
+    x = x.clip(0., 1.)
+
+    # Use numpy.modf to get the integer and decimal parts of feature values
+    # in the input feature map (or heatmap) that has to be colored.
+    # Example:
+    #   >>> import numpy as np
+    #   >>> x = np.array([1.2, 2.3, 4.5, 20.45, 6.75, 8.88])
+    #   >>> f, i = np.modf(x)       # returns a tuple of length 2
+    #   >>> print(i.shape, f.shape)
+    #   >>> (6,) (6,)
+    #   >>> print(i)
+    #   >>> [ 1.  2.  4. 20.  6.  8.]
+    #   >>> print(f)
+    #   >>> [0.2  0.3  0.5  0.45 0.75 0.88]
+    f, a = np.modf(x * 255.0)
+    a = a.astype(int)
+    b = (a + 1).clip(max=255)
+    image_colored = (
+        turbo_cmap_data[a]
+        + (turbo_cmap_data[b] - turbo_cmap_data[a]) * f[..., None]
+    )
+    return image_colored

blueoil/turbo_color_map.py

@@ -0,0 +1,279 @@
+# -*- coding: utf-8 -*-
+# Copyright 2020 The Blueoil Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =============================================================================
+
+# Colormap table taken from the following gist:
+# https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f
+# Copyright 2019 Google LLC.
+# SPDX-License-Identifier: Apache-2.0
+
+TURBO_CMAP_DATA = [
+    [0.18995, 0.07176, 0.23217],
+    [0.19483, 0.08339, 0.26149],
+    [0.19956, 0.09498, 0.29024],
+    [0.20415, 0.10652, 0.31844],
+    [0.20860, 0.11802, 0.34607],
+    [0.21291, 0.12947, 0.37314],
+    [0.21708, 0.14087, 0.39964],
+    [0.22111, 0.15223, 0.42558],
+    [0.22500, 0.16354, 0.45096],
+    [0.22875, 0.17481, 0.47578],
+    [0.23236, 0.18603, 0.50004],
+    [0.23582, 0.19720, 0.52373],
+    [0.23915, 0.20833, 0.54686],
+    [0.24234, 0.21941, 0.56942],
+    [0.24539, 0.23044, 0.59142],
+    [0.24830, 0.24143, 0.61286],
+    [0.25107, 0.25237, 0.63374],
+    [0.25369, 0.26327, 0.65406],
+    [0.25618, 0.27412, 0.67381],
+    [0.25853, 0.28492, 0.69300],
+    [0.26074, 0.29568, 0.71162],
+    [0.26280, 0.30639, 0.72968],
+    [0.26473, 0.31706, 0.74718],
+    [0.26652, 0.32768, 0.76412],
+    [0.26816, 0.33825, 0.78050],
+    [0.26967, 0.34878, 0.79631],
+    [0.27103, 0.35926, 0.81156],
+    [0.27226, 0.36970, 0.82624],
+    [0.27334, 0.38008, 0.84037],
+    [0.27429, 0.39043, 0.85393],
+    [0.27509, 0.40072, 0.86692],
+    [0.27576, 0.41097, 0.87936],
+    [0.27628, 0.42118, 0.89123],
+    [0.27667, 0.43134, 0.90254],
+    [0.27691, 0.44145, 0.91328],
+    [0.27701, 0.45152, 0.92347],
+    [0.27698, 0.46153, 0.93309],
+    [0.27680, 0.47151, 0.94214],
+    [0.27648, 0.48144, 0.95064],
+    [0.27603, 0.49132, 0.95857],
+    [0.27543, 0.50115, 0.96594],
+    [0.27469, 0.51094, 0.97275],
+    [0.27381, 0.52069, 0.97899],
+    [0.27273, 0.53040, 0.98461],
+    [0.27106, 0.54015, 0.98930],
+    [0.26878, 0.54995, 0.99303],
+    [0.26592, 0.55979, 0.99583],
+    [0.26252, 0.56967, 0.99773],
+    [0.25862, 0.57958, 0.99876],
+    [0.25425, 0.58950, 0.99896],
+    [0.24946, 0.59943, 0.99835],
+    [0.24427, 0.60937, 0.99697],
+    [0.23874, 0.61931, 0.99485],
+    [0.23288, 0.62923, 0.99202],
+    [0.22676, 0.63913, 0.98851],
+    [0.22039, 0.64901, 0.98436],
+    [0.21382, 0.65886, 0.97959],
+    [0.20708, 0.66866, 0.97423],
+    [0.20021, 0.67842, 0.96833],
+    [0.19326, 0.68812, 0.96190],
+    [0.18625, 0.69775, 0.95498],
+    [0.17923, 0.70732, 0.94761],
+    [0.17223, 0.71680, 0.93981],
+    [0.16529, 0.72620, 0.93161],
+    [0.15844, 0.73551, 0.92305],
+    [0.15173, 0.74472, 0.91416],
+    [0.14519, 0.75381, 0.90496],
+    [0.13886, 0.76279, 0.89550],
+    [0.13278, 0.77165, 0.88580],
+    [0.12698, 0.78037, 0.87590],
+    [0.12151, 0.78896, 0.86581],
+    [0.11639, 0.79740, 0.85559],
+    [0.11167, 0.80569, 0.84525],
+    [0.10738, 0.81381, 0.83484],
+    [0.10357, 0.82177, 0.82437],
+    [0.10026, 0.82955, 0.81389],
+    [0.09750, 0.83714, 0.80342],
+    [0.09532, 0.84455, 0.79299],
+    [0.09377, 0.85175, 0.78264],
+    [0.09287, 0.85875, 0.77240],
+    [0.09267, 0.86554, 0.76230],
+    [0.09320, 0.87211, 0.75237],
+    [0.09451, 0.87844, 0.74265],
+    [0.09662, 0.88454, 0.73316],
+    [0.09958, 0.89040, 0.72393],
+    [0.10342, 0.89600, 0.71500],
+    [0.10815, 0.90142, 0.70599],
+    [0.11374, 0.90673, 0.69651],
+    [0.12014, 0.91193, 0.68660],
+    [0.12733, 0.91701, 0.67627],
+    [0.13526, 0.92197, 0.66556],
+    [0.14391, 0.92680, 0.65448],
+    [0.15323, 0.93151, 0.64308],
+    [0.16319, 0.93609, 0.63137],
+    [0.17377, 0.94053, 0.61938],
+    [0.18491, 0.94484, 0.60713],
+    [0.19659, 0.94901, 0.59466],
+    [0.20877, 0.95304, 0.58199],
+    [0.22142, 0.95692, 0.56914],
+    [0.23449, 0.96065, 0.55614],
+    [0.24797, 0.96423, 0.54303],
+    [0.26180, 0.96765, 0.52981],
+    [0.27597, 0.97092, 0.51653],
+    [0.29042, 0.97403, 0.50321],
+    [0.30513, 0.97697, 0.48987],
+    [0.32006, 0.97974, 0.47654],
+    [0.33517, 0.98234, 0.46325],
+    [0.35043, 0.98477, 0.45002],
+    [0.36581, 0.98702, 0.43688],
+    [0.38127, 0.98909, 0.42386],
+    [0.39678, 0.99098, 0.41098],
+    [0.41229, 0.99268, 0.39826],
+    [0.42778, 0.99419, 0.38575],
+    [0.44321, 0.99551, 0.37345],
+    [0.45854, 0.99663, 0.36140],
+    [0.47375, 0.99755, 0.34963],
+    [0.48879, 0.99828, 0.33816],
+    [0.50362, 0.99879, 0.32701],
+    [0.51822, 0.99910, 0.31622],
+    [0.53255, 0.99919, 0.30581],
+    [0.54658, 0.99907, 0.29581],
+    [0.56026, 0.99873, 0.28623],
+    [0.57357, 0.99817, 0.27712],
+    [0.58646, 0.99739, 0.26849],
+    [0.59891, 0.99638, 0.26038],
+    [0.61088, 0.99514, 0.25280],
+    [0.62233, 0.99366, 0.24579],
+    [0.63323, 0.99195, 0.23937],
+    [0.64362, 0.98999, 0.23356],
+    [0.65394, 0.98775, 0.22835],
+    [0.66428, 0.98524, 0.22370],
+    [0.67462, 0.98246, 0.21960],
+    [0.68494, 0.97941, 0.21602],
+    [0.69525, 0.97610, 0.21294],
+    [0.70553, 0.97255, 0.21032],
+    [0.71577, 0.96875, 0.20815],
+    [0.72596, 0.96470, 0.20640],
+    [0.73610, 0.96043, 0.20504],
+    [0.74617, 0.95593, 0.20406],
+    [0.75617, 0.95121, 0.20343],
+    [0.76608, 0.94627, 0.20311],
+    [0.77591, 0.94113, 0.20310],
+    [0.78563, 0.93579, 0.20336],
+    [0.79524, 0.93025, 0.20386],
+    [0.80473, 0.92452, 0.20459],
+    [0.81410, 0.91861, 0.20552],
+    [0.82333, 0.91253, 0.20663],
+    [0.83241, 0.90627, 0.20788],
+    [0.84133, 0.89986, 0.20926],
+    [0.85010, 0.89328, 0.21074],
+    [0.85868, 0.88655, 0.21230],
+    [0.86709, 0.87968, 0.21391],
+    [0.87530, 0.87267, 0.21555],
+    [0.88331, 0.86553, 0.21719],
+    [0.89112, 0.85826, 0.21880],
+    [0.89870, 0.85087, 0.22038],
+    [0.90605, 0.84337, 0.22188],
+    [0.91317, 0.83576, 0.22328],
+    [0.92004, 0.82806, 0.22456],
+    [0.92666, 0.82025, 0.22570],
+    [0.93301, 0.81236, 0.22667],
+    [0.93909, 0.80439, 0.22744],
+    [0.94489, 0.79634, 0.22800],
+    [0.95039, 0.78823, 0.22831],
+    [0.95560, 0.78005, 0.22836],
+    [0.96049, 0.77181, 0.22811],
+    [0.96507, 0.76352, 0.22754],
+    [0.96931, 0.75519, 0.22663],
+    [0.97323, 0.74682, 0.22536],
+    [0.97679, 0.73842, 0.22369],
+    [0.98000, 0.73000, 0.22161],
+    [0.98289, 0.72140, 0.21918],
+    [0.98549, 0.71250, 0.21650],
+    [0.98781, 0.70330, 0.21358],
+    [0.98986, 0.69382, 0.21043],
+    [0.99163, 0.68408, 0.20706],
+    [0.99314, 0.67408, 0.20348],
+    [0.99438, 0.66386, 0.19971],
+    [0.99535, 0.65341, 0.19577],
+    [0.99607, 0.64277, 0.19165],
+    [0.99654, 0.63193, 0.18738],
+    [0.99675, 0.62093, 0.18297],
+    [0.99672, 0.60977, 0.17842],
+    [0.99644, 0.59846, 0.17376],
+    [0.99593, 0.58703, 0.16899],
+    [0.99517, 0.57549, 0.16412],
+    [0.99419, 0.56386, 0.15918],
+    [0.99297, 0.55214, 0.15417],
+    [0.99153, 0.54036, 0.14910],
+    [0.98987, 0.52854, 0.14398],
+    [0.98799, 0.51667, 0.13883],
+    [0.98590, 0.50479, 0.13367],
+    [0.98360, 0.49291, 0.12849],
+    [0.98108, 0.48104, 0.12332],
+    [0.97837, 0.46920, 0.11817],
+    [0.97545, 0.45740, 0.11305],
+    [0.97234, 0.44565, 0.10797],
+    [0.96904, 0.43399, 0.10294],
+    [0.96555, 0.42241, 0.09798],
+    [0.96187, 0.41093, 0.09310],
+    [0.95801, 0.39958, 0.08831],
+    [0.95398, 0.38836, 0.08362],
+    [0.94977, 0.37729, 0.07905],
+    [0.94538, 0.36638, 0.07461],
+    [0.94084, 0.35566, 0.07031],
+    [0.93612, 0.34513, 0.06616],
+    [0.93125, 0.33482, 0.06218],
+    [0.92623, 0.32473, 0.05837],
+    [0.92105, 0.31489, 0.05475],
+    [0.91572, 0.30530, 0.05134],
+    [0.91024, 0.29599, 0.04814],
+    [0.90463, 0.28696, 0.04516],
+    [0.89888, 0.27824, 0.04243],
+    [0.89298, 0.26981, 0.03993],
+    [0.88691, 0.26152, 0.03753],
+    [0.88066, 0.25334, 0.03521],
+    [0.87422, 0.24526, 0.03297],
+    [0.86760, 0.23730, 0.03082],
+    [0.86079, 0.22945, 0.02875],
+    [0.85380, 0.22170, 0.02677],
+    [0.84662, 0.21407, 0.02487],
+    [0.83926, 0.20654, 0.02305],
+    [0.83172, 0.19912, 0.02131],
+    [0.82399, 0.19182, 0.01966],
+    [0.81608, 0.18462, 0.01809],
+    [0.80799, 0.17753, 0.01660],
+    [0.79971, 0.17055, 0.01520],
+    [0.79125, 0.16368, 0.01387],
+    [0.78260, 0.15693, 0.01264],
+    [0.77377, 0.15028, 0.01148],
+    [0.76476, 0.14374, 0.01041],
+    [0.75556, 0.13731, 0.00942],
+    [0.74617, 0.13098, 0.00851],
+    [0.73661, 0.12477, 0.00769],
+    [0.72686, 0.11867, 0.00695],
+    [0.71692, 0.11268, 0.00629],
+    [0.70680, 0.10680, 0.00571],
+    [0.69650, 0.10102, 0.00522],
+    [0.68602, 0.09536, 0.00481],
+    [0.67535, 0.08980, 0.00449],
+    [0.66449, 0.08436, 0.00424],
+    [0.65345, 0.07902, 0.00408],
+    [0.64223, 0.07380, 0.00401],
+    [0.63082, 0.06868, 0.00401],
+    [0.61923, 0.06367, 0.00410],
+    [0.60746, 0.05878, 0.00427],
+    [0.59550, 0.05399, 0.00453],
+    [0.58336, 0.04931, 0.00486],
+    [0.57103, 0.04474, 0.00529],
+    [0.55852, 0.04028, 0.00579],
+    [0.54583, 0.03593, 0.00638],
+    [0.53295, 0.03169, 0.00705],
+    [0.51989, 0.02756, 0.00780],
+    [0.50664, 0.02354, 0.00863],
+    [0.49321, 0.01963, 0.00955],
+    [0.47960, 0.01583, 0.01055]
+]

output_template/python/blueoil/turbo_color_map.py

@@ -0,0 +1 @@
+../../../blueoil/turbo_color_map.py