add scripts

scripts/7.Visualize_saliency.py

@@ -0,0 +1,90 @@
+import numpy as np 
+import matplotlib.pyplot as plt
+import matplotlib.cm as cm
+
+heatmap = np.load('saliency.npy')
+print(np.shape(heatmap))
+heatmap = np.squeeze(heatmap)
+print(np.shape(heatmap))
+
+
+### take average over 5 #########
+heatmap = np.mean(abs(heatmap),axis=0)
+print(np.shape(heatmap))
+
+SERIES = ['t2','b50','b400','b800','b1400','adc']
+fig, axes = plt.subplots(1,6)
+max_value = np.amax(heatmap)
+pri
+min_value = np.amin(heatmap)
+# vmin vmax van hele heatmap voor scaling in imshow
+# cmap naar grey 
+
+im = axes[0].imshow(np.squeeze(heatmap[:,:,12,0]))
+axes[1].imshow(np.squeeze(heatmap[:,:,12,1]), vmin=min_value, vmax=max_value)
+axes[2].imshow(np.squeeze(heatmap[:,:,12,2]), vmin=min_value, vmax=max_value)
+axes[3].imshow(np.squeeze(heatmap[:,:,12,3]), vmin=min_value, vmax=max_value)
+axes[4].imshow(np.squeeze(heatmap[:,:,12,4]), vmin=min_value, vmax=max_value)
+axes[5].imshow(np.squeeze(heatmap[:,:,12,5]), vmin=min_value, vmax=max_value)
+
+axes[0].set_title("t2")
+axes[1].set_title("b50")
+axes[2].set_title("b400")
+axes[3].set_title("b800")
+axes[4].set_title("b1400")
+axes[5].set_title("adc")
+
+cbar = fig.colorbar(im, ax=axes.ravel().tolist(), shrink=0.5, orientation='horizontal')
+cbar.set_ticks([-0.1,0,0.1])
+cbar.set_ticklabels(['less importance', '0', 'important'])
+fig.suptitle('Average saliency maps over the 5 highest predictions', fontsize=16)
+plt.show()
+
+quit()
+
+#take one image out
+heatmap = np.squeeze(heatmap[0])
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+
+class IndexTracker:
+    def __init__(self, ax, X):
+        self.ax = ax
+        ax.set_title('use scroll wheel to navigate images')
+
+        self.X = X
+        rows, cols, self.slices = X.shape
+        self.ind = self.slices//2
+
+        self.im = ax.imshow(self.X[:, :, self.ind], cmap='jet')
+        self.update()
+
+    def on_scroll(self, event):
+        print("%s %s" % (event.button, event.step))
+        if event.button == 'up':
+            self.ind = (self.ind + 1) % self.slices
+        else:
+            self.ind = (self.ind - 1) % self.slices
+        self.update()
+
+    def update(self):
+        self.im.set_data(self.X[:, :, self.ind])
+        self.ax.set_ylabel('slice %s' % self.ind)
+        self.im.axes.figure.canvas.draw()
+
+plt.figure(0)
+fig, ax = plt.subplots(1, 1)
+tracker = IndexTracker(ax, heatmap[:,:,:,5])
+fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
+plt.show()
+
+plt.figure(1)
+fig, ax = plt.subplots(1, 1)
+tracker = IndexTracker(ax, heatmap[:,:,:,3])
+fig.canvas.mpl_connect('scroll_event', tracker.on_scroll)
+plt.show()