Merge branch 'feature/docs' into hotfix/2.3.9

* feature/docs:
  docs(*): fix requirements
  docs(*): update doc
  更新Datasheet和标定文档
  新版文档更新
  docs(*): update docs

# Conflicts:
#	docs/src/sdk/exe_install_windows.rst
This commit is contained in:
John Zhao 2019-07-03 09:10:51 +08:00
commit 8b0016fa07
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.. _api:
API API
=== ===

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.. _api: API DOCS
==============
API DOC
=========
.. toctree:: .. toctree::

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.. _device:
Device Device
====== ======

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.. _enums:
Enums Enums
===== =====

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.. _types:
Types Types
===== =====

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.. _utils:
Utils Utils
===== =====

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@ -7,19 +7,18 @@ MYNT® EYE S SDK
=============== ===============
.. toctree:: .. toctree::
:maxdepth: 2
:titlesonly: :titlesonly:
:maxdepth: 2
src/mynteye/contents src/mynteye/contents
src/sdk/contents src/sdk/contents
src/firmware/contents src/firmware/contents
src/data/contents src/data/contents
src/control/contents
src/log/contents
src/wrapper/contents
src/analytics/contents src/analytics/contents
src/tools/contents
src/slam/contents src/slam/contents
api/contents api/contents
src/support/contents
.. ..
Indices and tables Indices and tables

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.. _dataset: .. _analytics_dataset:
Recording data sets Recording Data Sets
==================== ====================
The SDK provides the tool ``record`` for recording data sets. Tool details can be seen in `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ . The SDK provides the tool ``record`` for recording data sets. Tool details can be seen in `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ .

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.. _analytics_stamp: .. _analytics_stamp:
Analyze time stamps Analyze Time Stamps
==================== ====================
SDK provides a script for timestamp analysis ``stamp_analytics.py`` . Tool details are visible in `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ . SDK provides a script for timestamp analysis ``stamp_analytics.py`` . Tool details are visible in `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ .

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.. _analytics: SDK TOOLS
==================
Data Analytics
===============
.. toctree:: .. toctree::
:maxdepth: 2
dataset analytics_dataset
analytics_imu analytics_imu
analytics_stamp analytics_stamp

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.. _data: SDK SAMPLES
MYNT® EYE Data
============== ==============
.. toctree:: .. toctree::
@ -17,6 +15,3 @@ MYNT® EYE Data
get_imu_correspondence get_imu_correspondence
get_from_callbacks get_from_callbacks
get_with_plugin get_with_plugin
save_params
write_img_params
write_imu_params

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.. _get_depth: .. _data_get_depth:
Get depth image Get Depth Image
=============== ===============
Depth images belongs to the upper layer of synthetic data. You need to start the ``EnableStreamData()`` beforehand, to get it through ``GetStreamData()``. The depth image type is CV_16UC1. In addition, it should be check not be empty before use. Depth images belongs to the upper layer of synthetic data. You need to start the ``EnableStreamData()`` beforehand, to get it through ``GetStreamData()``. The depth image type is CV_16UC1. In addition, it should be check not be empty before use.

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.. _get_device_info: .. _data_get_device_info:
Get device information Get Device Information
====================== ======================
Use ``GetInfo()`` function to get various current information values. Use ``GetInfo()`` function to get various current information values.

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.. _get_disparity: .. _data_get_disparity:
Get disparity image Get Disparity Image
=================== ===================
Disparity image belongs to the upper layer of synthetic data. You need to start the ``EnableStreamData()`` beforehand, to get it through ``GetStreamData()``. In addition, it should be check not be empty before use. Disparity image belongs to the upper layer of synthetic data. You need to start the ``EnableStreamData()`` beforehand, to get it through ``GetStreamData()``. In addition, it should be check not be empty before use.

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.. _get_from_callbacks: .. _data_get_from_callbacks:
Get data from callbacks Get Data From Callbacks
======================== ========================
API offers function ``SetStreamCallback()`` and ``SetMotionCallback()`` to set callbacks for various data. API offers function ``SetStreamCallback()`` and ``SetMotionCallback()`` to set callbacks for various data.

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.. _get_img_params: .. _data_get_img_params:
Get image calibration parameters Get Image Calibration Parameters
================================ ================================
Use ``GetIntrinsics()`` & ``GetExtrinsics()`` to get image calibration parameters. Use ``GetIntrinsics()`` & ``GetExtrinsics()`` to get image calibration parameters.

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.. _get_imu_data: .. _data_get_imu_data:
Get IMU data Get IMU Data
============= =============
The API offers ``Start()`` / ``Stop()`` function to start/stop capturing data. You can set the argument to``Source::MOTION_TRACKING`` to capture IMU data only, or set it to ``Source::ALL`` to capture both image and IMU data. The API offers ``Start()`` / ``Stop()`` function to start/stop capturing data. You can set the argument to``Source::MOTION_TRACKING`` to capture IMU data only, or set it to ``Source::ALL`` to capture both image and IMU data.

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.. _get_imu_correspondence: .. _data_get_imu_correspondence:
Get IMU data with timestamp correspondence Get IMU Data With Timestamp Correspondence
=========================================== ===========================================
If wanna get image with timestamp in the middle of IMU datas, you could call `EnableTimestampCorrespondence()`` to enable this feature. If wanna get image with timestamp in the middle of IMU datas, you could call `EnableTimestampCorrespondence()`` to enable this feature.

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.. _get_imu_params: .. _data_get_imu_params:
Get IMU calibration parameters Get IMU Calibration Parameters
============================== ==============================
Use ``GetMotionIntrinsics()`` & ``GetMotionExtrinsics()`` to get current IMU calibration parameters. Use ``GetMotionIntrinsics()`` & ``GetMotionExtrinsics()`` to get current IMU calibration parameters.

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.. _get_points: .. _data_get_points:
Get point image Get Point Image
================ ================
Point images belongs to upper layer of synthetic data. To get this kind of data through ``GetStreamData()``, you need to start the ``EnableStreamData()`` beforehand. It should be check not empty before use. Point images belongs to upper layer of synthetic data. To get this kind of data through ``GetStreamData()``, you need to start the ``EnableStreamData()`` beforehand. It should be check not empty before use.

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.. _get_stereo: .. _data_get_stereo:
Get original binocular image Get Original Binocular Image
============================= =============================
Use ``Start()`` or ``Stop()`` , to start or stop data capturing. If you only need the image data, use ``Source::VIDEO_STREAMING`` . Use ``Start()`` or ``Stop()`` , to start or stop data capturing. If you only need the image data, use ``Source::VIDEO_STREAMING`` .

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.. _get_stereo_rectified: .. _data_get_stereo_rectified:
Get stereo camera correction image Get Stereo Camera Correction Image
================================== ==================================
The ``GetStreamData()`` API provided can only get the raw data of the hardware, for example, the stereo camera raw image. The ``GetStreamData()`` API provided can only get the raw data of the hardware, for example, the stereo camera raw image.

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.. _get_with_plugin: .. _data_get_with_plugin:
Using the plugin to get data Using The Plugin To Get Data
============================ ============================
API provides a ``EnablePlugin()`` function to enable plugins under a path. API provides a ``EnablePlugin()`` function to enable plugins under a path.

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.. _save_params: .. _data_save_params:
Save device infomation and parameters Save Device Infomation And Parameters
===================================== =====================================
The SDK provides a tool ``save_all_infos`` for save information and parameters. For more information, please read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ . The SDK provides a tool ``save_all_infos`` for save information and parameters. For more information, please read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ .

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.. _write_img_params: .. _data_write_img_params:
Write image parameters Write Image Parameters
======================= =======================
The SDK provides a tool ``img_params_writer`` for writing image parameters. For details, read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ . The SDK provides a tool ``img_params_writer`` for writing image parameters. For details, read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ .

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.. _write_imu_params: .. _data_write_imu_params:
Write IMU parameters Write IMU Parameters
===================== =====================
SDK provides the tool ``imu_params_writer`` to write IMU parameters. For deltail, please read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ . SDK provides the tool ``imu_params_writer`` to write IMU parameters. For deltail, please read `tools/README.md <https://github.com/slightech/MYNT-EYE-S-SDK/tree/master/tools>`_ .

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.. _firmware:
Firmware Description
==================
.. toctree::
:maxdepth: 2
applicable

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.. _firmware:
Upgrade Firmware
==================
.. toctree::
:maxdepth: 2
upgrade
stm_update
from_v1

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Update Log
==================
.. toctree::
:maxdepth: 2

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.. _firmware: FIRMWARE
MYNT® EYE Firmware
================== ==================
.. toctree:: .. toctree::
:maxdepth: 2
applicable FirmwareContents
upgrade FirmwareUpdate
stm_update UpdateLogToDos
from_v1.rst

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.. _sdk_from_v1: .. _firmware_from_v1:
Change from SDK 1.x to 2.x Change from SDK 1.x to 2.x
=========================== ===========================

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.. _mynteye: PRODUCT
==================
MYNT® EYE product introduction
==============================
.. toctree:: .. toctree::
:maxdepth: 2
intro product_description
surface_s1030 product_surface
imu_coord_s1030 pro_intro
spec_s1030 support_resolutions
surface_s2100 imu_coord
imu_coord_s2100
spec_s2100

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.. _mynteye:
IMU Coordinata System
==================
.. toctree::
:maxdepth: 2
imu_coord_s1030
imu_coord_s2100

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.. _mynteye:
Product Introduction
==============================
.. toctree::
:maxdepth: 2
spec_s1030
spec_s1030_ir
spec_s2100

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.. _mynteye_intro: .. _mynteye:
Product description Product Description
==================== ====================
MYNT® EYE S Series includes MYNT EYE S, MYNT EYE SE and MYNT EYE SC. The “Binocular + IMU” inertial navigation solution for MYNT® EYE S Series provides accurate six-axis complementary data for vSLAM applications and is more accurate and robust than other single solutions. MYNT® EYE S Series includes MYNT EYE S, MYNT EYE SE and MYNT EYE SC. The “Binocular + IMU” inertial navigation solution for MYNT® EYE S Series provides accurate six-axis complementary data for vSLAM applications and is more accurate and robust than other single solutions.
Combined with self-developed camera synchronization, auto exposure, and white balance control camera technology, MYNT® EYE S Series provides a CUDA-based GPU real-time acceleration solution that outputs high-precision, synchronized image sources to help reduce the difficulty of algorithm development and speed up the efficiency of algorithm research and development. At the same time, MYNT EYE S is equipped with a six-axis sensor (IMU) and an infrared active light (IR). Among them, six-axis sensor (IMU) can provide data complementation and correction for the research of visual positioning algorithm, suitable for algorithm research of visual inertial odometer (VIO), help improve positioning accuracy; infrared active light (IR) can help solve the problem of identifying indoor white walls and non-textured objects, and improve the recognition accuracy of image sources. The difference between MYNT EYE SE and MYNT EYE S is that MYNT EYE SE does not include IR and offers customers with lower cost hardware. MYNT EYE SC provides 8cm/12cm optional baseline solution, super wide angle 146°FOV, providing a wider depth recognition range and accuracy level, with color image sensor, upgraded brand new BMI088 six-axis IMU, IR active light, I2C time synchronization Chip, global shutter, etc., with resolutions up to 1280x800/60fps and accuracy is up to centimeters. In addition, MYNT EYE S Series also provides a rich SDK interface and VSLAM open source project support, which can help customers quickly integrate solutions, accelerate the product development process, and achieve rapid productization and implementation. Combined with self-developed camera synchronization, auto exposure, and white balance control camera technology, MYNT® EYE S Series provides a CUDA-based GPU real-time acceleration solution that outputs high-precision, synchronized image sources to help reduce the difficulty of algorithm development and speed up the efficiency of algorithm research and development. At the same time, MYNT EYE S is equipped with a six-axis sensor (IMU) and an infrared active light (IR). Among them, six-axis sensor (IMU) can provide data complementation and correction for the research of visual positioning algorithm, suitable for algorithm research of visual inertial odometer (VIO), help improve positioning accuracy; infrared active light (IR) can help solve the problem of identifying indoor white walls and non-textured objects, and improve the recognition accuracy of image sources. The difference between MYNT EYE SE and MYNT EYE S is that MYNT EYE SE does not include IR and offers customers with lower cost hardware. MYNT EYE SC provides 8cm/12cm optional baseline solution, super wide angle 146°FOV, providing a wider depth recognition range and accuracy level, with color image sensor, upgraded brand new BMI088 six-axis IMU, IR active light, I2C time synchronization Chip, global shutter, etc., with resolutions up to 2560x800\@30fps and accuracy is up to centimeters. In addition, MYNT EYE S Series also provides a rich SDK interface and VSLAM open source project support, which can help customers quickly integrate solutions, accelerate the product development process, and achieve rapid productization and implementation.
As a hardware product for research and development of stereo vision computing applications, MYNT® EYE S Series can be widely used in a field of visual positioning navigation (vSLAM), including visual real-time positioning navigation system of driverless vehicle and robots, visual positioning system of UAV, obstacle avoidance navigation system for driverless Vehicle, Augmented Reality (AR), Virtual Reality (VR), etc. At the same time, it can be used in a field of visual recognition, including Stereoscopic face recognition, three-dimensional object recognition, space motion tracking, three-dimensional gestures, and somatosensory recognition. And of course, you can use it for measurement which includes assisted driving system (ADAS), binocular volume calculation, industrial visual screening, etc. At present, MYNTAI has carried out service and cooperation with more than 500 domestic and foreign enterprise clients. As a hardware product for research and development of stereo vision computing applications, MYNT® EYE S Series can be widely used in a field of visual positioning navigation (vSLAM), including visual real-time positioning navigation system of driverless vehicle and robots, visual positioning system of UAV, obstacle avoidance navigation system for driverless Vehicle, Augmented Reality (AR), Virtual Reality (VR), etc. At the same time, it can be used in a field of visual recognition, including Stereoscopic face recognition, three-dimensional object recognition, space motion tracking, three-dimensional gestures, and somatosensory recognition. And of course, you can use it for measurement which includes assisted driving system (ADAS), binocular volume calculation, industrial visual screening, etc. At present, MYNTAI has carried out service and cooperation with more than 500 domestic and foreign enterprise clients.

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.. _mynteye:
Surface
==================
.. toctree::
:maxdepth: 2
surface_s1030
surface_s2100

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.. _mynteye_spec_s1030: .. _mynteye_spec_s1030:
S1030-IR-120/Mono Product Specification S1030-120/Mono Product Specification
========================================= =========================================
Product Specification: Product Specification:
@ -8,59 +8,78 @@ Product Specification:
========================== ======================================= ========================== =======================================
Model S1030-IR-120/Mono Model S1030-120/Mono
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Size PCB dimension:149x24mm, Size 165x31.5x31.23mm
Total dimension:165x31.5x29.6mm
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Frame Rate 10/15/20/25/30/35/40/45/50/55/60FPS Frame Rate 10/15/20/25/30/35/40/45/50/55/60FPS
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Resolution 752*480,376*240 Resolution 752*480; 376*240
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Depth Resolution Base on CPU/GPU Up to 752*480@60FPS Depth Resolution Based on CPU/GPU Up to 752*480\@60FPS
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Pixel Size 6.0*6.0μm Pixel Size 6.0*6.0μm
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Baseline 120.0mm Baseline 120.0mm
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Camera Lens Replacable Standard M12 Visual Angle D:146° H:122° V:76°
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Visual Angle D:146° H:122° V:76° Focal Length 2.1mm
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Focal Length 2.1mm Filter Dual Pass Filter
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
IR Support Yes IR Support No
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
IR detectable range 3m IR detectable range \-
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Color Mode Monochrome Color Mode Monochrome
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Working Distance 0.7-2m Depth Working Distance 0.8-5m+
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Scanning Mode Global Shutter Scanning Mode Global Shutter
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Power 1~2.7W@5V DC from USB Power 1W\@5V DC from USB
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Output data format Raw data Synchronization Precision <1ms (up to 0.05ms)
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Data transfer Interface USB3.0 IMU Frequency 100/200/250/333/500Hz
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
Weight 184g Output data format Raw data
-------------------------- --------------------------------------- -------------------------- ---------------------------------------
UVC MODE Yes Data transfer Interface USB3.0
-------------------------- ---------------------------------------
Weight 160g
-------------------------- ---------------------------------------
UVC MODE Yes
========================== ======================================= ========================== =======================================
Software
--------
================ =================================================================================
Support system Windows 10、Ubuntu 14.04/16.04/18.04、ROS indigo/kinetic/melodic、Android 7.0+
---------------- ---------------------------------------------------------------------------------
SDK http://www.myntai.com/dev/mynteye
---------------- ---------------------------------------------------------------------------------
Support ORB_SLAM2、OKVIS、Vins-Mono、Vins-Fusion、VIORB
================ ==================================================================================
Work Environment Work Environment
----------------- -----------------
========================= ================ =========================== ================================
Operating Temperature 50°C Operating Temperature 10°C~50°C
------------------------- ---------------- --------------------------- --------------------------------
Storage Temperature -20°C Storage Temperature -20°C~60°C
========================= ================ --------------------------- --------------------------------
Humidity 10% to 90% non-condensing
=========================== ================================
Package: Package:

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.. _mynteye_spec_s1030_ir:
S1030-IR-120/Mono Product Specification
=========================================
Product Specification:
-----------------------
========================== =======================================
Model S1030-IR-120/Mono
-------------------------- ---------------------------------------
Size 165x31.5x31.23mm
-------------------------- ---------------------------------------
Frame Rate 10/15/20/25/30/35/40/45/50/55/60FPS
-------------------------- ---------------------------------------
Resolution 752*480; 376*240
-------------------------- ---------------------------------------
Depth Resolution Based on CPU/GPU Up to 752*480\@60FPS
-------------------------- ---------------------------------------
Pixel Size 6.0*6.0μm
-------------------------- ---------------------------------------
Baseline 120.0mm
-------------------------- ---------------------------------------
Camera Lens Replacable Standard M12
-------------------------- ---------------------------------------
Visual Angle D:146° H:122° V:76°
-------------------------- ---------------------------------------
Focal Length 2.1mm
-------------------------- ---------------------------------------
Filter Dual Pass Filter
-------------------------- ---------------------------------------
IR Support Yes
-------------------------- ---------------------------------------
IR detectable range Up to 3m
-------------------------- ---------------------------------------
Color Mode Monochrome
-------------------------- ---------------------------------------
Depth Working Distance 0.8-5m+
-------------------------- ---------------------------------------
Scanning Mode Global Shutter
-------------------------- ---------------------------------------
Power 1~2.7W\@5V DC from USB
-------------------------- ---------------------------------------
Synchronization Precision <1ms (up to 0.05ms)
-------------------------- ---------------------------------------
IMU Frequency 100/200/250/333/500Hz
-------------------------- ---------------------------------------
Output data format Raw data
-------------------------- ---------------------------------------
Data transfer Interface USB3.0
-------------------------- ---------------------------------------
Weight 184g
-------------------------- ---------------------------------------
UVC MODE Yes
========================== =======================================
Software
--------
================ =================================================================================
Support system Windows 10、Ubuntu 14.04/16.04/18.04、ROS indigo/kinetic/melodic、Android 7.0+
---------------- ---------------------------------------------------------------------------------
SDK http://www.myntai.com/dev/mynteye
---------------- ---------------------------------------------------------------------------------
Support ORB_SLAM2、OKVIS、Vins-Mono、Vins-Fusion、VIORB
================ ==================================================================================
Work Environment
-----------------
=========================== ================================
Operating Temperature 10°C~50°C
--------------------------- --------------------------------
Storage Temperature -20°C~60°C
--------------------------- --------------------------------
Humidity 10% to 90% non-condensing
=========================== ================================
Package:
---------
=================== =======================================
Package Contents MYNT EYE x1 USB Micro-B Cable x1
=================== =======================================
Warranty
----------
==================== ============================================
Product Warranty 12 Months Limited Manufacturer's Warranty
==================== ============================================
Accuracy
---------
============================ ============================================
Depth Distance Deviation Less than 4%
============================ ============================================

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@ -14,31 +14,39 @@ Product Specification:
Size PCB dimension:15x100mm Size PCB dimension:15x100mm
Total dimension:125x47x26.6mm Total dimension:125x47x26.6mm
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Frame Rate 1280x400@10/20/30/60fps 2560x800@10/20/30fps Frame Rate 1280x400\@10/20/30/60fps 2560x800\@10/20/30fps
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Resolution 1280x400; 2560x800 Resolution 1280x400; 2560x800
-------------------------- -----------------------------------------------------
Depth Resolution Based on CPU/GPU Up to 1280*400\@60FPS
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Pixel Size 3.0*3.0μm Pixel Size 3.0*3.0μm
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Baseline 80.0mm Baseline 80.0mm
-------------------------- -----------------------------------------------------
Camera Lens Replacable Standard M7
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Visual Angle D:141° H:124° V:87° Visual Angle D:141° H:124° V:87°
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Focal Length 0.95mm Focal Length 0.95mm
-------------------------- -----------------------------------------------------
IR Support No
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Color Mode Color Color Mode Color
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Working Distance 0.26-1m Depth Working Distance 0.26-3m+
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Scanning Mode Global Shutter Scanning Mode Global Shutter
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Power 1.1W@5V DC from USB Power 1.1W\@5V DC from USB
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Synchronization Precision <1ms (up to 0.02ms)
-------------------------- -----------------------------------------------------
IMU Frequency 200Hz
-------------------------- ---------------------------------------
Output data format YUYV Output data format YUYV
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Data transfer Interface USB3.0 Data transfer Interface USB3.0
-------------------------- -----------------------------------------------------
Time Sync interface DF50A
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
Weight 62g Weight 62g
-------------------------- ----------------------------------------------------- -------------------------- -----------------------------------------------------
@ -46,16 +54,31 @@ Product Specification:
========================== ===================================================== ========================== =====================================================
Software
--------
================ =================================================================================
Support system Windows 10、Ubuntu 14.04/16.04/18.04、ROS indigo/kinetic/melodic、Android 7.0+
---------------- ---------------------------------------------------------------------------------
SDK http://www.myntai.com/dev/mynteye
---------------- ---------------------------------------------------------------------------------
Support ORB_SLAM2、OKVIS、Vins-Mono、Vins-Fusion、VIORB
================ ==================================================================================
Work Environment Work Environment
----------------- -----------------
========================= ================ ========================= ==============================
Operating Temperature -15°C~60°C Operating Temperature -15°C~55°C
------------------------- ---------------- ------------------------- ------------------------------
Storage Temperature -20°C~80°C Storage Temperature -20°C~75°C
========================= ================ ------------------------- ------------------------------
Humidity 0% to 95% non-condensing
========================= ==============================
Package: Package:

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.. _sdk:
Installation and Use
==================
.. toctree::
:maxdepth: 2
ppa_install_ubuntu
source_install_ubuntu
exe_install_windows
source_install_windows
install_ros
without_opencv

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.. _sdk:
Change Log
==================
.. toctree::
:maxdepth: 2
changelog

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.. _sdk:
Project Reference
==================
.. toctree::
:maxdepth: 2
// 缺少:
cmake
vs2017
qtcreator

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.. _sdk:
SDK Description
==================
.. toctree::
:maxdepth: 2
platform

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.. _sdk_changelog: .. _sdk_changelog:
Changelog Change Log
========= =========
2019-07-01(v2.3.9) 2019-07-01(v2.3.9)

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.. _sdk: SDK
==================
MYNT® EYE SDK
=============
.. toctree:: .. toctree::
:maxdepth: 5
changelog
platform platform
ppa_install_ubuntu InstallContents
exe_install_windows ProjectContentsToDos
source_install_ubuntu changelog
source_install_windows
install_macos
install_ros
without_opencv

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.. _sdk_platform: .. _sdk_platform:
Supported platforms Supported Platforms
==================== ====================
SDK is built on CMake and can be used cross multiple platforms such as "Linux, Windows, etc. We provides two installation: Download and install, and Compile and install from source code. SDK is built on CMake and can be used cross multiple platforms such as "Linux, Windows, etc. We provides two installation: Download and install, and Compile and install from source code.

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.. _slam: OPEN SOURCE SUPPORT
==============
Open Source project Support
============================
.. toctree:: .. toctree::

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.. _slam_maplab: .. _maplab:
How to use in `Maplab <https://github.com/ethz-asl/maplab>`_ x How To Use In `Maplab <https://github.com/ethz-asl/maplab>`_ x
=============================================================== ===============================================================

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.. _slam_okvis: .. _okvis:
How to use in `OKVIS <https://github.com/ethz-asl/okvis>`_ How To Use In `OKVIS <https://github.com/ethz-asl/okvis>`_
============================================================= =============================================================
If you wanna run OKVIS with MYNT EYE camera, please follow the steps: If you wanna run OKVIS with MYNT EYE camera, please follow the steps:

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.. _slam_orb_slam2: .. _orb_slam2:
How to use in `ORB_SLAM2 <https://github.com/raulmur/ORB_SLAM2>`_ How To Use In `ORB_SLAM2 <https://github.com/raulmur/ORB_SLAM2>`_
================================================================== ==================================================================

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.. _slam_vins: .. _vins:
How to use in `VINS-Mono <https://github.com/HKUST-Aerial-Robotics/VINS-Mono>`_ How To Use In `VINS-Mono <https://github.com/HKUST-Aerial-Robotics/VINS-Mono>`_
================================================================================ ================================================================================

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.. _slam_vins_fusion: .. _vins_fusion:
How to use in `VINS-Fusion <https://github.com/HKUST-Aerial-Robotics/Vins-Fusion>`_ How To Use In `VINS-Fusion <https://github.com/HKUST-Aerial-Robotics/Vins-Fusion>`_
==================================================================================== ====================================================================================

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.. _slam_viorb: .. _viorb:
How to use in `VIORB <https://github.com/jingpang/LearnVIORB>`_ How To Use In `VIORB <https://github.com/jingpang/LearnVIORB>`_
================================================================ ================================================================

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Contact Us
==================
If you continue to encounter problems, please contact customer service.
http://support.myntai.com/hc/request/new/

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TECHNICAL SUPPORT
==================
.. toctree::
:maxdepth: 2
.. toctree::
problem
contact

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FAQ
==================
If you have problems using MYNT EYE, please first check the following docs
http://support.myntai.com/hc/

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.. _calibration_tool:
MYNT EYE S Manual Calibration Tool
==========
Introduction
--------
1.1 Support Platform
--------
Currently the calibration tool only supports Ubuntu 16.04 LTS, but support the official, ROS multiple version of OpenCV dependencies.
==================== ==================== ======================
Platform Architecture Different dependence
==================== ==================== ======================
Ubuntu 16.04 LTS x64(amd64) libopencv-dev
Ubuntu 16.04 LTS x64(amd64) ros-kinetic-opencv3
==================== ==================== ======================
1.2 Tools description
--------
Deb/ppa installation package is available on Ubuntu. The architecture, dependencies, and versions will be distinguished from the name:
* mynteye-s-calibrator-opencv-official-1.0.0_amd64.deb
* mynteye-s-calibrator-opencv-ros-kinetic-1.0.0_amd64.deb
======================= ==================== ============================================================
Dependency identifier Dependency package Detailed description
======================= ==================== ============================================================
opencv-official libopencv-dev https://packages.ubuntu.com/xenial/libopencv-dev
opencv-ros-kinetic ros-kinetic-opencv3 http://wiki.ros.org/opencv3
======================= ==================== ============================================================
1.3 Deb Toolkit Get
--------
==================== ========================================================================
Method of Obtaining Get address
==================== ========================================================================
Baidu Cloud https://pan.baidu.com/s/19rW0fPKUlQj6eldZpZFoAA Extraction code: a6ps
Google Drive https://drive.google.com/open?id=1RsV2WEKAsfxbn-Z5nGjk5g3ml1UDEsDc
==================== ========================================================================
Installation
--------
2.1 Installation Preparation
--------
* Ubuntu 16.04 LTS environment, x64 architecture
* Deb package for the calibration tool, select OpenCV dependencies as needed
(this step is not required for PPA installation)
2.2 Install ppa Package
--------
.. code-block:: bash
$ sudo add-apt-repository ppa:slightech/mynt-eye-s-sdk
$ sudo apt-get update
$ sudo apt-get install mynteye-s-calibrator
$ sudo ln -sf /opt/myntai/mynteye-s-calibrator/mynteye-s-calibrator /usr/local/bin/ mynteye-s-calibrator
2.3 Install deb Package
--------
Install the deb package with udo dpkg -i:
.. code-block:: bash
$ sudo dpkg -i mynteye-s-calibrator-opencv-official-1.0.0_amd64.deb
...
(Reading database ... 359020 files and directories currently installed.)
Preparing to unpack mynteye-s-calibrator-opencv-official-1.0.0_amd64.deb ...
Unpacking mynteye-s-calibrator (1.0.0) over (1.0.0) ...
Setting up mynteye-s-calibrator (1.0.0) ...
If you encounter an error that the dependency package is not installed, for example:
.. code-block:: bash
$ sudo dpkg -i mynteye-s-calibrator-opencv-official-1.0.0_amd64.deb
Selecting previously unselected package mynteye-s-calibrator.
(Reading database ... 358987 files and directories currently installed.)
Preparing to unpack mynteye-s-calibrator-opencv-official-1.0.0_amd64.deb ...
Unpacking mynteye-s-calibrator (1.0.0) ...
dpkg: dependency problems prevent configuration of mynteye-s-calibrator:
mynteye-s-calibrator depends on libatlas-base-dev; however:
Package libatlas-base-dev is not installed.
dpkg: error processing package mynteye-s-calibrator (--install):
dependency problems - leaving unconfigured
Errors were encountered while processing:
mynteye-s-calibrator
You can continue use sudo apt-get -f install to finished install
.. code-block:: bash
$ sudo apt-get -f install
Reading package lists... Done
Building dependency tree
Reading state information... Done
Correcting dependencies... Done
The following additional packages will be installed:
libatlas-base-dev
Suggested packages:
libblas-doc liblapack-doc
The following NEW packages will be installed:
libatlas-base-dev
0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
1 not fully installed or removed.
Need to get 3,596 kB of archives.
After this operation, 30.8 MB of additional disk space will be used.
Do you want to continue? [Y/n]
Get:1 http://cn.archive.ubuntu.com/ubuntu xenial/universe amd64 libatlas-base-dev amd64 3.10.2-9 [3,596 kB]
Fetched 3,596 kB in 3s (1,013 kB/s)
Selecting previously unselected package libatlas-base-dev.
(Reading database ... 358993 files and directories currently installed.)
Preparing to unpack .../libatlas-base-dev_3.10.2-9_amd64.deb ...
Unpacking libatlas-base-dev (3.10.2-9) ...
Setting up libatlas-base-dev (3.10.2-9) ...
update-alternatives: using /usr/lib/atlas-base/atlas/libblas.so to provide /usr/lib/libblas.so (libblas.so) in auto mode
update-alternatives: using /usr/lib/atlas-base/atlas/liblapack.so to provide /usr/lib/liblapack.so (liblapack.so) in auto mode
Setting up mynteye-s-calibrator (1.0.0) ...
How To Use
--------
3.1 Preparation For Use
--------
* MYNT EYE S Camera
* Checkerboard
* Evenly illuminated scene
3.2 Use Command
--------
* After installing the calibration tool, you can run the `mynteye-s-calibrator` command directly on the terminal to calibrate. -h can see its options:
.. code-block:: bash
$ mynteye-s-calibrator -h
Usage: mynteye-s-calibrator [options]
help: mynteye-s-calibrator -h
calibrate: mynteye-s-calibrator -x 11 -y 7 -s 0.036
Calibrate MYNT EYE S device.
Options:
-h, --help show this help message and exit
-x WIDTH, --width=WIDTH The chessboard width, default: 11
-y HEIGHT, --height=HEIGHT The chessboard height, default: 7
-s METERS, --square=METERS The chessboard square size in meters, default: 0.036
-n NUMBER, --number=NUMBER The number of images to use for calibration, default: 11
-p PATH, --path=PATH The path to save the result, default: folder name using device's SN
* -x -y -s Used to set the width, height, and grid size of the calibration plate. Width and height refer to the number of black and white intersections in the horizontal and vertical directions of the checkerboard. Square size in meters.
3.3 Steps For Usage
--------
* First, connect the MYNT EYE S camera.
* Then, run the mynteye-s-calibrator <calibration board parameter> command in the terminal.
.. image:: ../../images/calibration001.png
:width: 60%
* Follow the prompts to select an index for the camera's resolution, perform image calibration at this resolution
* The S1030 camera only need calibrate 752*480 resolution. The S2100 camera need calibrate 2560*800 and 1280*400 resolutions.
* As far as possible, let the calibration plate cover the left and right eye images of the camera,
and take care of the surroundings (maximum distortion). The calibration tool will automatically
evaluate the qualified image for the calibration calculation and will indicate on the terminal how many have been selected.
Reference acquisition image, as follows:
.. image:: ../../images/calibration002.png
:width: 60%
.. image:: ../../images/calibration003.png
:width: 60%
.. image:: ../../images/calibration004.png
:width: 60%
.. image:: ../../images/calibration005.png
:width: 60%
.. image:: ../../images/calibration006.png
:width: 60%
* Note: p_x, p_y, size, skew respectively indicate the scale of the calibration plate on the x-axis, y-axis,
zoom, and tilt when the image is acquired. Make a point for reference.
* Once the number of images acquired by the calibration needs is reached,
the calibration calculation will be performed. The output is as follows:
.. image:: ../../images/calibration007.png
:width: 60%
* 1. The terminal will print out the left and right purpose calibration results.
* 2. The calibration results will be written into the files in <SN number> directory.
a) camera_left.yaml: Left eye parameter
b) camera_right.yaml: Right eye parameter
c) extrinsics.yaml: Binocular external parameter
d) img.params.equidistant: Camera parameters, which can be used for S SDK writing
e) stereo_reprojection_error.yaml: Reprojection error
* Finally, you will also be asked if you want to write to the camera device. Enter or `y` to confirm
.. image:: ../../images/calibration008.png
:width: 60%
* After writing to the device, you will be prompted with "Write to device done".
3.4 Calibration result
--------
Calibration result, It is desirable to have a reprojection error of 0.2 or less. If exceeds 1, it needs to be recalibrated.
Reprojection error, visible output after calibration completion "Final reprojection error: 0.201
Pixels", or see the calibration result file "stereo_reprojection_error.yaml".

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.. _tools:
TOOLS SUPPORT
========
.. toctree::
calibration_tool