Go to the source code of this file.
Namespaces | |
| opencv_viewer_example | |
Variables | |
| opencv_viewer_example.color_colormap_dim = color_image.shape | |
| opencv_viewer_example.color_frame = frames.get_color_frame() | |
| opencv_viewer_example.color_image = np.asanyarray(color_frame.get_data()) | |
| opencv_viewer_example.config = rs.config() | |
| opencv_viewer_example.depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET) | |
| opencv_viewer_example.depth_colormap_dim = depth_colormap.shape | |
| opencv_viewer_example.depth_frame = frames.get_depth_frame() | |
| opencv_viewer_example.depth_image = np.asanyarray(depth_frame.get_data()) | |
| opencv_viewer_example.device = pipeline_profile.get_device() | |
| opencv_viewer_example.device_product_line = str(device.get_info(rs.camera_info.product_line)) | |
| opencv_viewer_example.frames = pipeline.wait_for_frames() | |
| opencv_viewer_example.images = np.hstack((resized_color_image, depth_colormap)) | |
| opencv_viewer_example.pipeline = rs.pipeline() | |
| opencv_viewer_example.pipeline_profile = config.resolve(pipeline_wrapper) | |
| opencv_viewer_example.pipeline_wrapper = rs.pipeline_wrapper(pipeline) | |
| opencv_viewer_example.resized_color_image = cv2.resize(color_image, dsize=(depth_colormap_dim[1], depth_colormap_dim[0]), interpolation=cv2.INTER_AREA) | |