測試攝影機

Intel_l515/l515.py

@@ -1,39 +1,39 @@
-## License: Apache 2.0. See LICENSE file in root directory.
-## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
-
-###############################################
-##      Open CV and Numpy integration        ##
-###############################################
-
-import pyrealsense2 as rs
-import numpy as np
-import cv2
-
-pipeline = rs.pipeline()
-config = rs.config()
-config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
-config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
-
-pipeline.start(config)
-
-try:
-    while True:
-        frames = pipeline.wait_for_frames()
-        depth_frame = frames.get_depth_frame()
-        color_frame = frames.get_color_frame()
-        if not depth_frame or not color_frame:
-            continue
-
-        depth_image = np.asanyarray(depth_frame.get_data())
-        color_image = np.asanyarray(color_frame.get_data())
-
-        depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
-
-        images = np.hstack((color_image, depth_colormap))
-
-        cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
-        cv2.imshow('RealSense', images)
-        cv2.waitKey(1)
-
-finally:
+## License: Apache 2.0. See LICENSE file in root directory.
+## Copyright(c) 2015-2017 Intel Corporation. All Rights Reserved.
+
+###############################################
+##      Open CV and Numpy integration        ##
+###############################################
+
+import pyrealsense2 as rs
+import numpy as np
+import cv2
+
+pipeline = rs.pipeline()
+config = rs.config()
+config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
+config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
+
+pipeline.start(config)
+
+try:
+    while True:
+        frames = pipeline.wait_for_frames()
+        depth_frame = frames.get_depth_frame()
+        color_frame = frames.get_color_frame()
+        if not depth_frame or not color_frame:
+            continue
+
+        depth_image = np.asanyarray(depth_frame.get_data())
+        color_image = np.asanyarray(color_frame.get_data())
+
+        depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
+
+        images = np.hstack((color_image, depth_colormap))
+
+        cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
+        cv2.imshow('RealSense', images)
+        cv2.waitKey(1)
+
+finally:
     pipeline.stop()