Merge pull request #81 from AxisCommunications/sync-20221114-1

Sync 20221114 1

docs/api/beta-api.md

@@ -24,5 +24,4 @@ or in the Beta API example if there is one available.
 ### ACAP Runtime and Parameter API
 
 Feedback on the service and API can be given in the [ACAP Computer Vision SDK
-examples](https://github.com/AxisCommunications/acap-computer-vision-sdk-examples/issues)
-issue tracker.
+examples](https://github.com/AxisCommunications/acap-computer-vision-sdk-examples/issues) issue tracker.

docs/api/computer-vision-sdk-apis.md

@@ -24,6 +24,7 @@ SDK version | Available from firmware version
 1.2 | 10.10
 1.3 | 10.12
 1.4 | 11.0
+1.5 | 11.1
 
 ## SDK index
 
@@ -162,6 +163,7 @@ The ACAP Runtime service is an installable ACAP application that provides:
 
 - Inference API - Tensorflow Serving for inference service
 - Parameter API - Axis parameter service
+- Video capture API - Enables capture of images from a camera
 
 The ACAP Runtime uses [gRPC](https://grpc.io) and a [Unix Socket Domain (UDS)](https://grpc.github.io/grpc/cpp/md_doc_naming.html) socket for access. The access is restricted to applications in the device that belongs to the `sdk` user group. Installable versions for devices equipped with ARTPEC-7 and ARTPEC-8 chips are available [here](https://hub.docker.com/r/axisecp/acap-runtime).
 

docs/api/native-sdk-api.md

@@ -28,6 +28,7 @@ SDK version | Available from firmware version
 1.2 | 10.10
 1.3 | 10.12
 1.4 | 11.0
+1.5 | 11.1
 
 ## Video capture API
 
@@ -78,6 +79,7 @@ Axis OS version | VdoStream API version | New functions added
 10.11 | 7.19.2 | -
 10.12 | 8.0.15 | `vdo_map_get_pair32i`, `vdo_map_get_pair32u`, `vdo_map_set_pair32i`, `vdo_map_set_pair32u`
 11.0 | 9.0.4 | -
+11.1 | 9.8.16 | -
 
 ### Known issues
 
@@ -269,7 +271,7 @@ The API supports products with the following chips:
 
 ### Version history
 
-This API was introduced in API version 1.0
+This API was introduced in Native SDK 1.0.
 
 ### Code Examples
 

docs/api/src/api/larod/html/annotated.html

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docs/api/src/api/larod/html/classes.html

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docs/api/src/api/larod/html/deprecated.html

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docs/api/src/api/larod/html/dir_97aefd0d527b934f1d99a682da8fe6a9.html

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docs/api/src/api/larod/html/files.html

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docs/api/src/api/larod/html/functions.html

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docs/api/src/api/larod/html/functions_vars.html

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docs/api/src/api/larod/html/globals.html

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docs/api/src/api/larod/html/globals_defs.html

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docs/api/src/api/larod/html/globals_enum.html

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docs/api/src/api/larod/html/globals_eval.html

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docs/api/src/api/larod/html/globals_func.html

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docs/api/src/api/larod/html/globals_type.html

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docs/api/src/api/larod/html/index.html

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docs/api/src/api/larod/html/larod_8h.html

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@@ -984,7 +984,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#ad8be991c1295938b95df0c2d
 <p>Create input tensors according to what <code>model</code> requires. The tensors will be initialized with metadata such as data type, dims, layout etcetera based on information from the model.</p>
 <p>The service will also allocate a buffer for each created tensor. These buffers are represented by the file descriptors set on the tensors and as such will be used to store the tensors' contents.</p>
 <p>Furthermore, the buffers are guaranteed to meet the requirements specified in <code>fdPropFlags</code> (if non-zero) and the fd properties of each tensor will be set accordingly. If <code>fdPropFlags</code> is not set (i.e. zero), the service will decide for itself (based on <code>model</code>) which operations should be supported on the newly allocated tensors and thus set the fd properties accordingly (c.f. <a class="el" href="larod_8h.html#a33a0af9702614ee94936e6cc757c3fad" title="Set the properties for a file descriptor of a tensor. ">larodSetTensorFdProps()</a>). In addition the service will automatically track each tensor, i.e. as if <a class="el" href="larod_8h.html#a4c84b8df7f3efc94276ba8cdaf940f85" title="Start tracking a tensor in the service. ">larodTrackTensor()</a> would have been called on the newly created and allocated tensors (this increments the total number of tracked tensors for <code>conn</code>, see <a class="el" href="larod_8h.html#a4c84b8df7f3efc94276ba8cdaf940f85" title="Start tracking a tensor in the service. ">larodTrackTensor()</a> for more details).</p>
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 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramname">conn</td><td>An initialized connection handle. </td></tr>
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 <p>Create output tensors according to what <code>model</code> requires. The tensors will be initialized with metadata such as data type, dims, layout etcetera based on information from the model.</p>
 <p>The service will also allocate a buffer for each created tensor. These buffers are represented by the file descriptors set on the tensors and as such will be used to store the tensors' contents.</p>
 <p>Furthermore, the buffers are guaranteed to meet the requirements specified in <code>fdPropFlags</code> (if non-zero) and the fd properties of each tensor will be set accordingly. If <code>fdPropFlags</code> is not set (i.e. zero), the service will decide for itself (based on <code>model</code>) which operations should be supported on the newly allocated tensors and thus set the fd properties accordingly (c.f. <a class="el" href="larod_8h.html#a33a0af9702614ee94936e6cc757c3fad" title="Set the properties for a file descriptor of a tensor. ">larodSetTensorFdProps()</a>). In addition the service will automatically track each tensor, i.e. as if <a class="el" href="larod_8h.html#a4c84b8df7f3efc94276ba8cdaf940f85" title="Start tracking a tensor in the service. ">larodTrackTensor()</a> would have been called on the newly created and allocated tensors (this increments the total number of tracked tensors for <code>conn</code>, see <a class="el" href="larod_8h.html#a4c84b8df7f3efc94276ba8cdaf940f85" title="Start tracking a tensor in the service. ">larodTrackTensor()</a> for more details).</p>
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+<p>The buffers will be deallocated when <code>conn</code> closes, typically via a call to <code><a class="el" href="larod_8h.html#ab8f97b4b4d15798384ca25f32ca77bba" title="Disconnect from larod. ">larodDisconnect()</a></code>. The array of tensors needs to be released when it is no longer needed using <code><a class="el" href="larod_8h.html#afac99dfef68ffe3d513008aaac354ae0" title="Destroy a list of larodTensor. ">larodDestroyTensors()</a></code>.</p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramname">conn</td><td>An initialized connection handle. </td></tr>

docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_api-changes.html

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docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_architecture.html

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docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_dma-buf.html

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docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_introduction-for-app-developers.html

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docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_larod-client.html

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docs/api/src/api/larod/html/md__opt_builder-doc_larod_doc_model-formats.html

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