added plot

read_images.py

@@ -162,12 +162,22 @@ for i in range(N):
     
     # plot rgb image
     plt.figure()
+    plt.subplot(121)
     plt.axis('off')
     plt.imshow(im_display)
     
     # classify image in 4 classes (sand, whitewater, water, other) with NN classifier
     im_classif, im_labels = sds.classify_image_NN_nopan(im_ms, cloud_mask, min_beach_size, plot_bool)
-        
+    
+    plt.subplot(122)
+    plt.axis('off')
+    im = np.copy(im_display)
+    colours = np.array([[1,128/255,0/255],[204/255,1,1],[0,0,204/255]])
+    for k in range(0,im_labels.shape[2]):
+        im[im_labels[:,:,k],0] = colours[k,0]
+        im[im_labels[:,:,k],1] = colours[k,1]
+        im[im_labels[:,:,k],2] = colours[k,2]
+    plt.imshow(im)
     # store the data
     cloud_cover_ts.append(cloud_cover)
     acc_georef_ts.append(metadata[satname]['acc_georef'][i])