Apollo tracker

The Crescendos and Intensities. Naturally, it also includes instructions for testing and regulating the mechanism, and diagrams of the Accent Valves and Manifold, the Cancel Valves and Expression Cut-Out, the Regulating Valve and Regulating Pneumatic, and the Crescendo Pneumatic, Crescendo Valve Box and Metering Pin. According to the information presented in the reference, "An identifying feature of the Art Echo system is the modulator lever, which is labeled NORMAL & SOFT.""AAC" Artrio-Angelus Reproducing Piano (C-19): $9.00Upright model only, with the Angelus pouch-pneumatic stack."C-19" Art-Apollo/Dynachord Service Manual (B-80p): $16.50 Available in PDF format Dynachord Service Manual. Refer to p.306 'Player Piano Treasury'. This was an expression system built by Amphion. Although its tracker bar has 98 ports, it follows the same 96-hole system employed by Melville Clark's Art-Apollo. Eight pages, in PDF format, 38.5 MB."B-80p" Art-Apollo Tubing Diagram in PDF format (B-83): $9.00 Single page Tubing Diagram for an Art-Apollo player action, S/N 26808. For use with the Apollo-X Rolls. Drawn in May of 1977 by Player Piano Restoration Co., Toledo, OH. PDF format."B-83" Artecho (Apollo) Chart of Artecho Upright (C-14): $14.95 (PDF format only)Upright service and regulation sheet. To identify Artecho: count tracker bar holes. There are a total of 100, with only one elongated - the fourth one from the left. This reference has been totally reworked to remove damaged areas. To see an example of the old and new file, click here. The original size of the page was 22" x 22", and the new hign quality file can be used to faithfully reproduce the chart with excellent clarity on a sheet that's 36" x 36"."C-14" Artecho (Apollo) Chart of Artecho Grand (C-15): $11.00Grand service and regulating procedures. Two sheets; 15" X 22" each. Suitable for wall hanging or framing. Very detailed. Includes Testing and Regulation information."C-15" Auto

Welcome!By registering with us, you'll be able to discuss, share and private message with other members of our community.SignUp Now! Thread starter Karaku Start date Apr 9, 2020 Thread Author #1 Name​Orpheus​Tracker URL​ Genre​Music​Tracker Type​Ratio Based​Bonus System​Yes​Seed Difficulty​Medium​Tracker Signup​Closed / Invites Only​Banned Countries​None​IRC Channel​irc.orpheus.networkChannel : #orpheus​​DESCRIPTIONOrpheus, formerly known as Apollo, is a private tracker specialized in Music.With more than 870k torrents, Content is gargantuan and includes a very impressive collection of Perfect FLAC releases.The community is very active through IRC and the forum and new gems are being uploaded everyday.Maintaining a good ratio is easier than during the Apollo's era. Indeed, a seedbonus system was implemented recenty and gives the oppurtinity to members to buy Freeleech tokens.You can join Orpheus if you had an account on Apollo before or through an interview on IRC.An excellent tracker for Music lovers. Highly Recommended.HOME CATEGORIES BROWSE FORUM RULES USER CLASSES WIKI RATINGSSpeed​9/10​Pre-time​8/10​Content​9/10​Community​8/10​Overall​9/10​ #2 fresh stats:Maximum users: 20,000Enabled users: 15,929 DetailsUsers active today: 3,420 (21.47%)Users active this week: 7,575 (47.55%)Users active this month: 11,674 (73.29%)Torrents: 695,392Releases: 504,064Artists: 470,337"Perfect" FLACs: 423,742Collages: 5,824Requests: 13,707 (74.95% filled)Snatches: 1,923,643Peers: 2,201,538Seeders: 2,191,286Leechers: 10,252Seeder/leecher ratio: 213.74

Home Knowledge Base Getting Started with Apollo Getting Started with Apollo Download and install Apollo After downloading and installing Apollo (Trial or full edition), Apollo will be installed to C:\Apollo\9.0. Depending on your development environment, identify the sub-folder that contains the appropriate components. For example, C:\Apollo\9.0\x64\VCL\D10 contains the VCL components and packages needed for 64-bit Delphi 10 Seattle, and C:\Apollo\9.0\x64\NET\Provider contains the 64-bit ADO.NET Data Provider and components for Visual Studio and .NET. Architecture Diagrams Visual diagrams provide a good overview of the various architectures and configurations that Apollo, and applications developed using Apollo, support including the following: Getting started using the Apollo components Use the Apollo components (.NET and VCL components) to develop your Windows applications. By default, these applications use the Apollo embedded database engine (also known as the "local engine", or "embedded engine"), which consists of the *.DLL files localed in C:\Apollo\9.0\x86\Engine (or C:\Apollo\9.0\x64\Engine). See the individual Apollo component sets for specific installation and getting started information: Each of these Apollo components feature properties that allow you to change from connecting to the default local database engine (i.e. *.DLL files) to remote data managed by Apollo Server over TCP/IP. Free 2-User edition of Apollo Server A free 2-User edition of the Apollo Server is included with Apollo Embedded. This free server supports 2 concurrent users accessing the same database. It is an ideal solution for building basic client/server applications, or for creating a client/server demo edition of your Apollo applications. This 2-User edition provides secure remote access to your DBF databases via the Internet. An unlimited user edition is available which removes the 2-user support restriction. Apollo DBF UtilityThis tool lets you visually manage DBF data files, indexes and data. Apollo Query ToolThis tool lets you run interactive SQL commands on your DBF data.

如何添加新的lidar匹配算法Perception中的lidar数据流如下：本篇文档所介绍的lidar检测算法位于图中的Recognition Component中。当前Recognition Component的架构如下：从以上结构中可以清楚地看到lidar匹配算法是位于Recognition Component的 base_lidar_obstacle_tracking 中的抽象成员类 base_multi_target_tracker 的派生类。下面将详细介绍如何基于当前结构添加新的lidar匹配算法。Apollo默认的lidar匹配算法为MlfEngine，它可以轻松更改或替换为不同的算法。本篇文档将介绍如何引入新的lidar匹配算法，添加新算法的步骤如下：定义一个继承基类 base_multi_target_tracker 的类实现新类 NewLidarTracker为新类 NewLidarTracker 配置config的proto文件更新 lidar_obstacle_tracking.conf为了更好的理解，下面对每个步骤进行详细的阐述:定义一个继承基类 base_multi_target_tracker 的类所有的lidar匹配算法都必须继承基类 base_multi_target_tracker，它定义了一组接口。 以下是匹配算法继承基类的示例:namespace apollo {namespace perception {namespace lidar {class NewLidarTracker : public BaseMultiTargetTracker { public: NewLidarTracker(); virtual ~NewLidarTracker() = default; bool Init(const MultiTargetTrackerInitOptions& options = MultiTargetTrackerInitOptions()) override; bool Track(const MultiTargetTrackerOptions& options, LidarFrame* frame) override; std::string Name() const override;}; // class NewLidarTracker} // namespace lidar} // namespace perception} // namespace apollo基类 base_multi_target_tracker 已定义好各虚函数签名，接口信息如下：> cloud; // world point cloud std::shared_ptr> world_cloud; // timestamp double timestamp = 0.0; // lidar to world pose Eigen::Affine3d lidar2world_pose = Eigen::Affine3d::Identity(); // lidar to world pose Eigen::Affine3d novatel2world_pose = Eigen::Affine3d::Identity(); // hdmap struct std::shared_ptr hdmap_struct = nullptr; // segmented objects std::vector> segmented_objects; // tracked objects std::vector> tracked_objects; // point cloud roi indices base::PointIndices roi_indices; // point cloud non ground indices base::PointIndices non_ground_indices; // secondary segmentor indices base::PointIndices secondary_indices; // sensor info base::SensorInfo sensor_info; // reserve string std::string reserve; void Reset(); void FilterPointCloud(base::PointCloud *filtered_cloud, const std::vector &indices);};">struct MultiTargetTrackerInitOptions {};struct MultiTargetTrackerOptions {};struct LidarFrame { // point cloud std::shared_ptr> cloud; // world point cloud std::shared_ptr> world_cloud; // timestamp double timestamp = 0.0; // lidar to world pose Eigen::Affine3d lidar2world_pose = Eigen::Affine3d::Identity(); // lidar to world pose Eigen::Affine3d novatel2world_pose = Eigen::Affine3d::Identity(); // hdmap struct std::shared_ptr hdmap_struct = nullptr; // segmented objects std::vector> segmented_objects; // tracked objects std::vector> tracked_objects; // point cloud roi indices base::PointIndices roi_indices; // point cloud non ground indices base::PointIndices non_ground_indices; // secondary segmentor indices base::PointIndices secondary_indices; // sensor info base::SensorInfo sensor_info; // reserve string std::string reserve; void Reset(); void FilterPointCloud(base::PointCloud *filtered_cloud, const std::vectoruint32_t> &indices);};实现新类 NewLidarTracker为了确保新的匹配算法能顺利工作，NewLidarTracker至少需要重写base_multi_target_tracker中定义的接口Init(),Track()和Name()。其中Init()函数负责完成加载配置文件，初始化类成员等工作；而Track()则负责实现算法的主体流程。一个具体的NewLidarTracker.cc实现示例如下：namespace apollo {namespace perception {namespace lidar {bool NewLidarTracker::Init(const MultiTargetTrackerInitOptions& options) { /* 你的算法初始化部分 */}bool NewLidarTracker::Track(const MultiTargetTrackerOptions& options, LidarFrame* frame) { /* 你的算法实现部分 */}std::string NewLidarTracker::Name() const { /* 返回你的匹配算法名称 */}PERCEPTION_REGISTER_MULTITARGET_TRACKER(NewLidarTracker); //注册新的lidar_tracker} // namespace lidar} // namespace perception} // namespace apollo为新类 NewLidarTracker 配置config的proto文件按照下面的步骤添加新lidar匹配算法的配置和参数信息:根据算法要求为新lidar匹配算法配置config的proto文件。作为示例，可以参考以下位置的multi_lidar_fusion的proto定义：modules/perception/lidar/lib/tracker/multi_lidar_fusion/proto/multi_lidar_fustion_config.proto定义新的proto之后，例如newlidartracker_config.proto，输入以下内容:syntax = "proto2";package apollo.perception.lidar;message NewLidarTrackerConfig { double parameter1 = 1; int32 parameter2 = 2;}参考如下内容更新 modules/perception/production/conf/perception/lidar/config_manager.config文件:model_config_path: "./conf/perception/lidar/modules/newlidartracker_config.config"参考同级别目录下 modules/multi_lidar_fusion.config 内容创建 newlidartracker.config:model_configs {name: "NewLidarTracker" version: "1.0.0" string_params { name: "root_path" value: "./data/perception/lidar/models/newlidartracker" }}参考 multi_lidar_tracker 在目录 modules/perception/production/data/perception/lidar/models/ 中创建 newlidartracker 文件夹，并根据需求创建不同传感器的 .conf 文件：注意：此处 "*.conf" 文件应对应步骤1，2中的proto文件格式.更新 lidar_obstacle_tracking.conf要使用Apollo系统中的新lidar匹配算法，需要将 modules/perception/production/data/perception/lidar/models/lidar_obstacle_pipline 中的对应传感器的 lidar_obstacle_tracking.conf 文件的 multi_target_tracker 字段值改为 "NewLidarTracker"在完成以上步骤后，您的新lidar匹配算法便可在Apollo系统中生效。

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