52 lines
1.5 KiB
Python
Executable File
52 lines
1.5 KiB
Python
Executable File
import numpy as np
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import matplotlib.pyplot as plt
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####### dir ############
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SALIENCY_DIR = f'./../train_output/train_n0.001_run4_t2_b50_b400_b800_b1400_adc/saliency.npy'
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########## load saliency map ############
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heatmap = np.load(SALIENCY_DIR)
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heatmap = np.squeeze(heatmap)
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#take one image out
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heatmap = np.squeeze(abs(heatmap))
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max_value = np.amax(heatmap)
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min_value = np.amin(heatmap)
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class IndexTracker:
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def __init__(self, ax, X):
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self.ax = ax
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ax.set_title('use scroll wheel to navigate images')
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self.X = X
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rows, cols, self.slices = X.shape
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self.ind = self.slices//2
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self.im = ax.imshow(self.X[:, :, self.ind], cmap='jet',vmin=min_value, vmax=max_value)
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self.update()
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def on_scroll(self, event):
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print("%s %s" % (event.button, event.step))
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if event.button == 'up':
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self.ind = (self.ind + 1) % self.slices
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else:
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self.ind = (self.ind - 1) % self.slices
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self.update()
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def update(self):
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self.im.set_data(self.X[:, :, self.ind])
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self.ax.set_ylabel('slice %s' % self.ind)
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self.im.axes.figure.canvas.draw()
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# plt.figure()
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# fig, ax = plt.subplots(1, 1)
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# tracker = IndexTracker(ax, heatmap[:,:,:,0])
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# fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
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# plt.show()
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plt.figure()
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fig, ax = plt.subplots(1, 1)
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tracker = IndexTracker(ax, heatmap[:,:,:,4])
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fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
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plt.show()
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