1

app.py

@@ -103,7 +103,7 @@ def generate_monocular_depth_maps(img_list, depth_prior_name):
           prediction = model.infer(image, f_px=f_px)
           depth = prediction["depth"].cpu().numpy()  # Depth in [m].
           focallength_px=prediction["focallength_px"].cpu()
-          cv2.resize(depth[0], image.size, interpolation=cv2.INTER_CUBIC)
+          depth = cv2.resize(depth[0], image.size, interpolation=cv2.INTER_CUBIC)
           depth_list.append(depth)
           focallength_px_list.append(focallength_px)
           #np.savez_compressed(path_depthpro, depth=depth, focallength_px=prediction["focallength_px"].cpu())  
@@ -115,7 +115,7 @@ def generate_monocular_depth_maps(img_list, depth_prior_name):
           #print(image.size)
           depth = pipe(image)["predicted_depth"].numpy()
           print(depth.max(),depth.min())
-          cv2.resize(depth[0], image.size, interpolation=cv2.INTER_CUBIC)
+          #depth = cv2.resize(depth[0], image.size, interpolation=cv2.INTER_CUBIC)
           focallength_px = 200
           print(depth.max(),depth.min())
           depth_list.append(depth)