85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import matplotlib.pyplot as plt
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import numpy as np
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import cv2
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import data as global_data
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plt.switch_backend('Agg')
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def image_plot(x, name='image'):
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fig, ax = plt.subplots()
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ax.imshow(x, cmap='magma', aspect='auto')
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fig.canvas.draw()
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buf = np.array(fig.canvas.renderer._renderer)
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plt.clf()
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plt.close('all')
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cv2.imshow(name, buf)
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cv2.waitKey(0)
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def plot_to_buf(x, align=True):
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fig, ax = plt.subplots()
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ax.plot(x)
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if align:
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ax.set_ylim([-1, 1])
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fig.canvas.draw()
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im = np.array(fig.canvas.renderer._renderer)
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plt.clf()
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plt.close('all')
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return np.rollaxis(im[..., :3], 2)
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def imshow_to_buf(x, scale01=False):
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def softmax(x):
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"""Compute softmax values for each sets of scores in x."""
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return np.exp(x) / np.sum(np.exp(x), axis=0)
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if scale01:
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x = (x - x.min()) / (x.max() - x.min())
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if x.max() > 1.:
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x = softmax(x)
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if len(x.shape) == 3:
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x = x[0]
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fig, ax = plt.subplots()
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ax.imshow(x, cmap='magma', aspect='auto')
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fig.canvas.draw()
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im = np.array(fig.canvas.renderer._renderer)
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plt.clf()
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plt.close('all')
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return np.rollaxis(im[..., :3], 2)
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def origin_to_chrs(target):
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results = []
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for t in target:
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idx = t - 1 if t - 1 >= 0 else 0
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if idx < len(global_data.idx2chr):
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results.append(global_data.idx2chr[idx])
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else:
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break
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return ''.join(results) |