Merge pull request #102178 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to master to sync with https://github.com/Microsoft/azure-docs (branch master)

Author: huypub

articles/databox-online/data-box-edge-system-requirements.md

@@ -118,10 +118,10 @@ To understand and refine the performance of your solution, you could use:
 - The compute metrics available in the Azure portal. Go to your Data Box Edge resource and then go to **Monitoring > Metrics**. Look at the **Edge compute - Memory usage** and **Edge compute - Percentage CPU** to understand the available resources and how are the resources getting consumed.
 - The monitoring commands available via the PowerShell interface of the device such as:
 
-    - `dkr` stats to get a live stream of container(s) resource usage statistics. The command supports CPU, memory usage, memory limit, and network IO metrics.
-    - `dkr system df` to get information regarding the amount of disk space used. 
-    - `dkr image [prune]` to clean up unused images and free up space.
-    - `dkr ps --size` to view the approximate size of a running container. 
+    - `dkrdbe stats` to get a live stream of container(s) resource usage statistics. The command supports CPU, memory usage, memory limit, and network IO metrics.
+    - `dkrdbe system df` to get information regarding the amount of disk space used. 
+    - `dkrdbe image prune` to clean up unused images and free up space.
+    - `dkrdbe ps --size` to view the approximate size of a running container. 
 
     For more information on the available commands, go to [Monitor and troubleshoot compute modules](data-box-edge-connect-powershell-interface.md#monitor-and-troubleshoot-compute-modules).
 

articles/databox/data-box-disk-deploy-picked-up.md

@@ -153,8 +153,24 @@ If needed, you can contact Quantium Solution Support (Japanese language) at the
 
    If you encounter any issues, kindly reach out to Data Box Operations Asia at [email protected]. Provide the job name in the subject header and the issue encountered.
 
-3. Hand over to the courier. 
+3. Hand over to the courier.
 
+### [In Self-Managed](#tab/in-selfmanaged)
+
+If you are using Data Box Disk in Japan, Singapore, Korea, and West Europe and have selected the self-managed shipping option during order creation, follow these instructions. 
+
+1. Go to the **Overview** blade for your order in the Azure portal. Go through the instructions displayed when you select **Schedule pickup**. You should see an Authorization code that is used at the time of dropping off the order.
+
+2. Send an email to the Azure Data Box Operations team using the following template when you are ready to return the device.
+
+    ```
+    To: [email protected]
+    Subject: Request for Azure Data Box Disk drop-off for order: ‘orderName’
+    Body: 
+     a. Order name
+     b. Contact name of the person dropping off. You will need to display a Government approved ID during the drop off.
+    ```
+3. Azure Data Box Operations team will work with you to arrange the drop-off to the Azure Datacenter.
 
 ::: zone target="docs"
 

articles/kinect-dk/access-data-body-frame.md

@@ -16,12 +16,12 @@ This article describes the data contained in a body frame and the functions to a
 
 The following functions are covered:
 
-- [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92)
-- [k4abt_frame_get_body_index_map()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga0e4f2d0d7e330d444de7070fb1fee4f6.html#ga0e4f2d0d7e330d444de7070fb1fee4f6)
-- [k4abt_frame_get_body_skeleton()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gac7032ab06268253538556750775064fb.html#gac7032ab06268253538556750775064fb)
-- [k4abt_frame_get_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gad9eef11f6496bbfe997536c374217d9a.html#gad9eef11f6496bbfe997536c374217d9a)
-- [k4abt_frame_get_num_bodies()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga29ab088b1a0d1a246bdb5542e21aa3c3.html#ga29ab088b1a0d1a246bdb5542e21aa3c3)
-- [k4abt_frame_get_device_timestamp_usec()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga04be7b814b40296cd6b97044ed7283e4.html#ga04be7b814b40296cd6b97044ed7283e4)
+- [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92)
+- [k4abt_frame_get_body_index_map()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga0e4f2d0d7e330d444de7070fb1fee4f6.html#ga0e4f2d0d7e330d444de7070fb1fee4f6)
+- [k4abt_frame_get_body_skeleton()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gac7032ab06268253538556750775064fb.html#gac7032ab06268253538556750775064fb)
+- [k4abt_frame_get_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gad9eef11f6496bbfe997536c374217d9a.html#gad9eef11f6496bbfe997536c374217d9a)
+- [k4abt_frame_get_num_bodies()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga29ab088b1a0d1a246bdb5542e21aa3c3.html#ga29ab088b1a0d1a246bdb5542e21aa3c3)
+- [k4abt_frame_get_device_timestamp_usec()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga04be7b814b40296cd6b97044ed7283e4.html#ga04be7b814b40296cd6b97044ed7283e4)
 
 ## Key components of a body frame
 
@@ -31,13 +31,13 @@ Each body frame contains a collection of body structs, a 2D body index map, and
 
 ## Access the collection of body structs
 
-Multiple bodies might be detected in a single capture. You can query the number of bodies by calling the [k4abt_frame_get_num_bodies()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga29ab088b1a0d1a246bdb5542e21aa3c3.html#ga29ab088b1a0d1a246bdb5542e21aa3c3) function.
+Multiple bodies might be detected in a single capture. You can query the number of bodies by calling the [k4abt_frame_get_num_bodies()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga29ab088b1a0d1a246bdb5542e21aa3c3.html#ga29ab088b1a0d1a246bdb5542e21aa3c3) function.
 
 ```C
 size_t num_bodies = k4abt_frame_get_num_bodies(body_frame);
 ```
 
-You use the [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92) and [k4abt_frame_get_body_skeleton()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gac7032ab06268253538556750775064fb.html#gac7032ab06268253538556750775064fb) functions to iterate through each body index to find the body ID and joint position/orientation information.
+You use the [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92) and [k4abt_frame_get_body_skeleton()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gac7032ab06268253538556750775064fb.html#gac7032ab06268253538556750775064fb) functions to iterate through each body index to find the body ID and joint position/orientation information.
 
 ```C
 for (size_t i = 0; i < num_bodies; i++)
@@ -50,7 +50,7 @@ for (size_t i = 0; i < num_bodies; i++)
 
 ## Access the body index map
 
-You use the [k4abt_frame_get_body_index_map()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga0e4f2d0d7e330d444de7070fb1fee4f6.html#ga0e4f2d0d7e330d444de7070fb1fee4f6) function to access the body index map. Refer to [body index map](body-index-map.md) for detailed explanation of the body index map. Make sure to release the body index map when it is no longer needed.
+You use the [k4abt_frame_get_body_index_map()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga0e4f2d0d7e330d444de7070fb1fee4f6.html#ga0e4f2d0d7e330d444de7070fb1fee4f6) function to access the body index map. Refer to [body index map](body-index-map.md) for detailed explanation of the body index map. Make sure to release the body index map when it is no longer needed.
 
 ```C
 k4a_image_t body_index_map = k4abt_frame_get_body_index_map(body_frame);
@@ -60,7 +60,7 @@ k4a_image_release(body_index_map);
 
 ## Access the input capture
 
-The body tracker is an asynchronous API. The original capture may already have been released by the time the result is popped. Use the [k4abt_frame_get_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gad9eef11f6496bbfe997536c374217d9a.html#gad9eef11f6496bbfe997536c374217d9a) function to query the 
+The body tracker is an asynchronous API. The original capture may already have been released by the time the result is popped. Use the [k4abt_frame_get_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gad9eef11f6496bbfe997536c374217d9a.html#gad9eef11f6496bbfe997536c374217d9a) function to query the 
 input capture used to generate this body tracking result. The reference count for the k4a_capture_t is increased each time this function is called. Use [k4a_capture_release()](https://microsoft.github.io/Azure-Kinect-Sensor-SDK/master/group___functions_ga0ed6f74ec403c3eac1b8ef3afb32cee6.html#ga0ed6f74ec403c3eac1b8ef3afb32cee6) function when the capture is no longer needed.
 
 ```C

articles/kinect-dk/body-index-map.md

@@ -17,7 +17,7 @@ The body index map includes the instance segmentation map for each body in the d
 ![Body index map example](./media/concepts/body-index-map.png)
 
 >[!NOTE]
-> The body index is different than the body id. You can query the body id from a given body index by calling API: [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92).
+> The body index is different than the body id. You can query the body id from a given body index by calling API: [k4abt_frame_get_body_id()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga1d612404d133a279af847974e9359a92.html#ga1d612404d133a279af847974e9359a92).
 
 
 ## Using body index map

articles/kinect-dk/body-sdk-download.md

@@ -23,6 +23,7 @@ This document provides links to install each version of the Azure Kinect Body Tr
 
 Version       | Download
 --------------|----------
+1.0.0 | [msi](https://www.microsoft.com/en-us/download/details.aspx?id=100848) [nuget](https://www.nuget.org/packages/Microsoft.Azure.Kinect.BodyTracking/1.0.0)
 0.9.5 | [msi](https://www.microsoft.com/en-us/download/details.aspx?id=100636) [nuget](https://www.nuget.org/packages/Microsoft.Azure.Kinect.BodyTracking/0.9.5)
 0.9.4 | [msi](https://www.microsoft.com/en-us/download/details.aspx?id=100415) [nuget](https://www.nuget.org/packages/Microsoft.Azure.Kinect.BodyTracking/0.9.4)
 0.9.3 | [msi](https://www.microsoft.com/en-us/download/details.aspx?id=100307) [nuget](https://www.nuget.org/packages/Microsoft.Azure.Kinect.BodyTracking/0.9.3)
@@ -41,15 +42,22 @@ The `libk4abt<major>.<minor>` package contains the shared objects needed to run
 
 The basic tutorials require the `libk4abt<major>.<minor>-dev` package. To install it, run
 
-`sudo apt install libk4abt0.9-dev`
+`sudo apt install libk4abt1.0-dev`
 
 If the command succeeds, the SDK is ready for use.
 
 > [!NOTE]
+> When installing the SDK, remember the path you install to. For example, "C:\Program Files\Azure Kinect Body Tracking SDK 1.0.0". You will find the samples referenced in articles in this path.
 > Body tracking samples are located in the [body-tracking-samples](https://github.com/microsoft/Azure-Kinect-Samples/tree/master/body-tracking-samples) folder in the Azure-Kinect-Samples repository. You will find the samples referenced in articles here.
 
 ## Change log
 
+### v1.0.0
+* [Feature] Add C# wrapper to the msi installer.
+* [Bug Fix] Fix issue that the head rotation cannot be detected correctly: [Link](https://github.com/microsoft/Azure-Kinect-Sensor-SDK/issues/997)
+* [Bug Fix] Fix issue that the CPU usage goes up to 100% on Linux machine: [Link](https://github.com/microsoft/Azure-Kinect-Sensor-SDK/issues/1007)
+* [Samples] Add two samples to the sample repo. Sample 1 demonstrates how to transform body tracking results from the depth space to color space [Link](https://github.com/microsoft/Azure-Kinect-Samples/tree/master/body-tracking-samples/camera_space_transform_sample); sample 2 demonstrates how to detect floor plane [Link](https://github.com/microsoft/Azure-Kinect-Samples/tree/master/body-tracking-samples/floor_detector_sample)
+
 ### v0.9.5
 * [Feature] C# support. C# wrapper is packed in the nuget package.
 * [Feature] Multi-tracker support. Creating multiple trackers is allowed. Now user can create multiple trackers to track bodies from different Azure Kinect devices.
@@ -97,12 +105,6 @@ If the command succeeds, the SDK is ready for use.
 * [API Change] Added  `k4abt_frame_get_timestamp_usec()` function to simplify the steps for the users to query body frame timestamp.
 * Further improved the body tracking algorithm accuracy and tracking reliability
 
-### v0.3.0
-
-* [Breaking Change] Added support for NVIDIA RTX GPUs by moving to CUDA 10.1 dependency
-* [API Change] Provide the joint output in millimeters to be consistent with the Kinect for Windows v2 SDK
-* Further improved the body tracking algorithm accuracy and reliability.
-
 ## Next steps
 
 - [Azure Kinect DK overview](about-azure-kinect-dk.md)

articles/kinect-dk/body-sdk-setup.md

@@ -52,6 +52,10 @@ If everything is set up correctly, a window with a 3D point cloud and tracked bo
 
 ![Body Tracking 3D Viewer](./media/quickstarts/samples-simple3dviewer.png)
 
+## Examples
+
+You can find the examples about how to use the body tracking SDK [here](https://github.com/microsoft/Azure-Kinect-Samples/tree/master/body-tracking-samples).
+
 ## Next steps
 
 > [!div class="nextstepaction"]

articles/kinect-dk/build-first-body-app.md

@@ -15,7 +15,7 @@ keywords: kinect, azure, sensor, sdk, body, tracking, joint, application, first
 
 # Quickstart: Build an Azure Kinect body tracking application
 
-Getting started with the Body Tracking SDK? This quickstart will get you up and running with body tracking!
+Getting started with the Body Tracking SDK? This quickstart will get you up and running with body tracking! You can find more examples in this [Azure-Kinect-Sample repo](https://github.com/microsoft/Azure-Kinect-Samples/tree/master/body-tracking-samples).
 
 ## Prerequisites
 
@@ -28,11 +28,11 @@ Getting started with the Body Tracking SDK? This quickstart will get you up and
   - [k4a_device_stop_cameras()](https://microsoft.github.io/Azure-Kinect-Sensor-SDK/master/group___functions_ga4fa0e0a011a7105309ad97f081a5d6b8.html#ga4fa0e0a011a7105309ad97f081a5d6b8)
   - [k4a_device_close()](https://microsoft.github.io/Azure-Kinect-Sensor-SDK/master/group___functions_ga7a3931d9a690b3971caaac83b43f9423.html#ga7a3931d9a690b3971caaac83b43f9423)
 - Review the documentation on the following Body Tracking SDK functions:
-  - [k4abt_tracker_create()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga1aa71481b8441def94de11b29e0e3cbc.html#ga1aa71481b8441def94de11b29e0e3cbc)
-  - [k4abt_tracker_enqueue_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga093becd9bb4a63f5f4d56f58097a7b1e.html#ga093becd9bb4a63f5f4d56f58097a7b1e)
-  - [k4abt_tracker_pop_result()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gaaf446fb1579cbbe0b6af824ee0a7458b.html#gaaf446fb1579cbbe0b6af824ee0a7458b)
-  - [k4abt_tracker_shutdown()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga94036969ef94cbc414c78b3f6d04bfa5.html#ga94036969ef94cbc414c78b3f6d04bfa5)
-  - [k4abt_tracker_destroy()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gab2c9afca092130976cd66077c0557ed1.html#gab2c9afca092130976cd66077c0557ed1)
+  - [k4abt_tracker_create()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga1aa71481b8441def94de11b29e0e3cbc.html#ga1aa71481b8441def94de11b29e0e3cbc)
+  - [k4abt_tracker_enqueue_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga093becd9bb4a63f5f4d56f58097a7b1e.html#ga093becd9bb4a63f5f4d56f58097a7b1e)
+  - [k4abt_tracker_pop_result()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gaaf446fb1579cbbe0b6af824ee0a7458b.html#gaaf446fb1579cbbe0b6af824ee0a7458b)
+  - [k4abt_tracker_shutdown()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga94036969ef94cbc414c78b3f6d04bfa5.html#ga94036969ef94cbc414c78b3f6d04bfa5)
+  - [k4abt_tracker_destroy()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gab2c9afca092130976cd66077c0557ed1.html#gab2c9afca092130976cd66077c0557ed1)
 
 ## Headers
 
@@ -116,7 +116,7 @@ if (pop_frame_result == K4A_WAIT_RESULT_SUCCEEDED)
 
 ## Access the body tracking result data
 
-The body tracking results for each sensor capture are stored in a body frame [k4abt_frame_t](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/structk4abt__frame__t.html) structure. Each body frame contains three key components: a collection of body structs, a 2D body index map, and the input capture.
+The body tracking results for each sensor capture are stored in a body frame [k4abt_frame_t](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/structk4abt__frame__t.html) structure. Each body frame contains three key components: a collection of body structs, a 2D body index map, and the input capture.
 
 Your first body tracking application only accesses the number of detected bodies. Refer to [access data in body frame](access-data-body-frame.md) for detailed explanation of data in a body frame.
 

articles/kinect-dk/get-body-tracking-results.md

@@ -67,7 +67,7 @@ case K4A_WAIT_RESULT_FAILED:
 
 ## Enqueue the capture and pop the results
 
-The tracker internally maintains an input queue and an output queue to asynchronously process the Azure Kinect DK captures more efficiently. Use the [k4abt_tracker_enqueue_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_ga093becd9bb4a63f5f4d56f58097a7b1e.html#ga093becd9bb4a63f5f4d56f58097a7b1e) function to add a new capture to the input queue. Use the [k4abt_tracker_pop_result()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/group__btfunctions_gaaf446fb1579cbbe0b6af824ee0a7458b.html#gaaf446fb1579cbbe0b6af824ee0a7458b) function o pop a result from the output queue. Use of the timeout value is dependent on the application and controls the queuing wait time.
+The tracker internally maintains an input queue and an output queue to asynchronously process the Azure Kinect DK captures more efficiently. Use the [k4abt_tracker_enqueue_capture()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_ga093becd9bb4a63f5f4d56f58097a7b1e.html#ga093becd9bb4a63f5f4d56f58097a7b1e) function to add a new capture to the input queue. Use the [k4abt_tracker_pop_result()](https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/group__btfunctions_gaaf446fb1579cbbe0b6af824ee0a7458b.html#gaaf446fb1579cbbe0b6af824ee0a7458b) function o pop a result from the output queue. Use of the timeout value is dependent on the application and controls the queuing wait time.
 
 ### Real-time processing
 Use this pattern for single-threaded applications that need real-time results and can accommodate dropped frames. The `simple_3d_viewer` sample located in [GitHub Azure-Kinect-Samples](https://github.com/microsoft/Azure-Kinect-Samples) is an example of real-time processing.

articles/kinect-dk/toc.yml

@@ -92,6 +92,6 @@
    - name: Sensor API
      href: https://microsoft.github.io/Azure-Kinect-Sensor-SDK/master/index.html
    - name: Body tracking API
-     href: https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/0.9.x/index.html
+     href: https://microsoft.github.io/Azure-Kinect-Body-Tracking/release/1.x.x/index.html
    - name: Record file format
      href: record-file-format.md