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https://github.com/orbbec/OrbbecSDK_ROS2.git
synced 2026-10-04 20:17:47 +08:00
feat: add support for colorized depth images in camera node and update launch configurations
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@@ -66,6 +66,7 @@ namespace {
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constexpr char kEnhancedDepthSupportedTargetResolutions[] = "640x480/1280x720/1280x800";
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constexpr char kEnhancedDepthSupportedDepthFormats[] = "Y10/Y11/Y12/Y14/Y16/Z16";
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constexpr double kColorizerMaxDistanceMm = 10000.0;
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std::string getDepthFilterStatusName(const std::string &filter_name) {
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if (filter_name == "SpatialAdvancedFilter") {
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@@ -4466,6 +4467,7 @@ void OBCameraNode::getParameters() {
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setAndGetNodeParameter<int>(point_cloud_decimation_filter_factor_,
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"point_cloud_decimation_filter_factor", 1);
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setAndGetNodeParameter<std::string>(point_cloud_qos_, "point_cloud_qos", "default");
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setAndGetNodeParameter<bool>(colorizer_enabled_, "enable_depth_colorizer", false);
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setAndGetNodeParameter<bool>(enable_d2c_viewer_, "enable_d2c_viewer", false);
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setAndGetNodeParameter<std::string>(disparity_to_depth_mode_, "disparity_to_depth_mode", "");
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disparity_to_depth_mode_ =
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@@ -5428,6 +5430,11 @@ void OBCameraNode::setupPublishers() {
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}
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}
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if (colorizer_enabled_ && enable_stream_[DEPTH]) {
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RCLCPP_INFO(logger_,
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"Depth colorizer enabled, publishing Jet RGB images on depth/image_raw (0-10 m)");
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}
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syncSoftwareAlignment();
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if (enable_sync_output_accel_gyro_) {
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@@ -5601,6 +5608,34 @@ void OBCameraNode::publishRawDepthImage(const std::shared_ptr<ob::Frame> &depth_
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depth_unaligned_publisher_->publish(std::move(image_msg));
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}
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cv::Mat OBCameraNode::colorizeDepthImage(const cv::Mat &depth_image) {
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if (depth_image.empty() || depth_image.channels() != 1) {
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return {};
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}
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cv::Mat depth_8u;
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if (depth_image.type() == CV_16UC1 || depth_image.type() == CV_32FC1) {
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depth_image.convertTo(depth_8u, CV_8UC1, 255.0 / kColorizerMaxDistanceMm);
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} else if (depth_image.type() == CV_8UC1) {
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depth_image.convertTo(depth_8u, CV_8UC1);
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} else {
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RCLCPP_WARN_THROTTLE(logger_, *node_->get_clock(), 5000,
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"Unsupported depth image type for colorizer: %d", depth_image.type());
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return {};
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}
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cv::Mat colorized_bgr;
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cv::applyColorMap(depth_8u, colorized_bgr, cv::COLORMAP_JET);
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cv::Mat invalid_depth_mask;
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cv::compare(depth_image, cv::Scalar(0), invalid_depth_mask, cv::CMP_EQ);
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colorized_bgr.setTo(cv::Scalar::all(0), invalid_depth_mask);
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cv::Mat colorized_rgb;
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cv::cvtColor(colorized_bgr, colorized_rgb, cv::COLOR_BGR2RGB);
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return colorized_rgb;
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}
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void OBCameraNode::publishDepthPointCloud(const std::shared_ptr<ob::FrameSet> &frame_set) {
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if (!depth_cloud_pub_ || depth_cloud_pub_->get_subscription_count() == 0 ||
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!enable_point_cloud_) {
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@@ -6785,22 +6820,34 @@ void OBCameraNode::onNewFrameCallback(const std::shared_ptr<ob::Frame> &frame,
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camera_info_publishers_[stream_index]->publish(camera_info);
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publishMetadata(frame, stream_index, camera_info.header);
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if (!has_raw_image_subscriber && !save_images_[stream_index]) {
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return;
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}
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cv::Mat image_to_publish = image;
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std::string image_encoding = encoding_[stream_index];
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uint32_t image_step = width * unit_step_size_[stream_index];
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if (stream_index == DEPTH) {
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auto depth_scale = video_frame->as<ob::DepthFrame>()->getValueScale();
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image = image * depth_scale;
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image_to_publish = image;
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if (colorizer_enabled_ && has_raw_image_subscriber) {
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auto colorized_image = colorizeDepthImage(image);
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if (!colorized_image.empty()) {
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image_to_publish = std::move(colorized_image);
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image_encoding = sensor_msgs::image_encodings::RGB8;
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image_step = static_cast<uint32_t>(image_to_publish.cols * 3 * sizeof(uint8_t));
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}
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}
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}
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if (!has_raw_image_subscriber && !save_images_[stream_index]) {
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return;
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}
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CHECK(image_publishers_.count(stream_index) > 0);
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if (has_raw_image_subscriber || save_images_[stream_index]) {
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sensor_msgs::msg::Image::UniquePtr image_msg(new sensor_msgs::msg::Image());
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cv_bridge::CvImage(std_msgs::msg::Header(), encoding_[stream_index], image)
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cv_bridge::CvImage(std_msgs::msg::Header(), image_encoding, image_to_publish)
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.toImageMsg(*image_msg);
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CHECK_NOTNULL(image_msg.get());
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image_msg->header.stamp = timestamp;
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image_msg->is_bigendian = false;
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image_msg->step = width * unit_step_size_[stream_index];
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image_msg->step = image_step;
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image_msg->header.frame_id = frame_id;
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saveImageToFile(stream_index, image, *image_msg);
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if (!has_raw_image_subscriber) {
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