91 lines
2.6 KiB
Python
Executable File
91 lines
2.6 KiB
Python
Executable File
import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.cm as cm
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heatmap = np.load('saliency.npy')
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print(np.shape(heatmap))
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heatmap = np.squeeze(heatmap)
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print(np.shape(heatmap))
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### take average over 5 #########
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heatmap = np.mean(abs(heatmap),axis=0)
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print(np.shape(heatmap))
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SERIES = ['t2','b50','b400','b800','b1400','adc']
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fig, axes = plt.subplots(1,6)
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max_value = np.amax(heatmap)
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pri
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min_value = np.amin(heatmap)
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# vmin vmax van hele heatmap voor scaling in imshow
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# cmap naar grey
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im = axes[0].imshow(np.squeeze(heatmap[:,:,12,0]))
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axes[1].imshow(np.squeeze(heatmap[:,:,12,1]), vmin=min_value, vmax=max_value)
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axes[2].imshow(np.squeeze(heatmap[:,:,12,2]), vmin=min_value, vmax=max_value)
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axes[3].imshow(np.squeeze(heatmap[:,:,12,3]), vmin=min_value, vmax=max_value)
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axes[4].imshow(np.squeeze(heatmap[:,:,12,4]), vmin=min_value, vmax=max_value)
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axes[5].imshow(np.squeeze(heatmap[:,:,12,5]), vmin=min_value, vmax=max_value)
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axes[0].set_title("t2")
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axes[1].set_title("b50")
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axes[2].set_title("b400")
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axes[3].set_title("b800")
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axes[4].set_title("b1400")
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axes[5].set_title("adc")
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cbar = fig.colorbar(im, ax=axes.ravel().tolist(), shrink=0.5, orientation='horizontal')
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cbar.set_ticks([-0.1,0,0.1])
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cbar.set_ticklabels(['less importance', '0', 'important'])
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fig.suptitle('Average saliency maps over the 5 highest predictions', fontsize=16)
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plt.show()
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quit()
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#take one image out
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heatmap = np.squeeze(heatmap[0])
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import numpy as np
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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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')
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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(0)
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fig, ax = plt.subplots(1, 1)
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tracker = IndexTracker(ax, heatmap[:,:,:,5])
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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(1)
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fig, ax = plt.subplots(1, 1)
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tracker = IndexTracker(ax, heatmap[:,:,:,3])
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fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
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plt.show()
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