update readme

README.md

@@ -78,7 +78,7 @@ Check `camera_visualizer/visualize_cameras.py` for visualizing cameras in 3D. It
 ## Inspect camera parameters
 You can use `camera_inspector/inspect_epipolar_geometry.py` to inspect if the camera paramters are correct and follow the Opencv convention assumed by this codebase. The script creates a viewer for visually inspecting epipolar geometry like below: for key points in the top image, it plots their correspoinding epipolar lines in the bottom image. If the epipolar geometry does not look correct in this visualization, it's likely that there are some issues with the camera parameters.
 
-<img src="camera_inspector/screenshot.png" width="280">
+<img src="camera_inspector/screenshot.png" width="600">
 
 
 

camera_inspector/inspect_epipolar_geometry.py

@@ -50,8 +50,8 @@ def inspect(img1, K1, W2C1, img2, K2, W2C2):
 
     img1, img2 = drawpointslines(img1, pts1, img2, lines2, colors)
     
-    im_to_show = np.concatenate((img1, img2), axis=0)
-    # down sample
+    im_to_show = np.concatenate((img1, img2), axis=1)
+    # down sample to fit screen
     h, w = im_to_show.shape[:2]
     im_to_show = cv2.resize(im_to_show, (int(0.5*w), int(0.5*h)), interpolation=cv2.INTER_AREA)
     cv2.imshow('epipolar geometry', im_to_show)