rename temp to en/Intel-CCAI-Development-Manual/assets
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@ -12,7 +12,7 @@ dateCreated: 2022-03-11T03:18:01.489Z
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CCAI provides many FCGI APIs. They are named `fcgi_xxxx`. Each fcgi API is a fcgi server, running in the background. Client APPs communicate with the fcgi server by using http post protocol.
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These fcgi APIs will do AI for different cases, such as classification, face detection, OCR, TTS, or ASR. Please refer to the following API list to understand the specific API.
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@ -20,7 +20,7 @@ Some fcgi APIs have two working modes. One mode is doing inference locally in th
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The following picture shows two working modes.
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Some FCGI APIs are implemented by two languages, C++ and python. So some APIs have two types of API: python API and C++ API. Both python API and C++ API provide the same functionality and parameters. The only difference is they have different http addresses. So clients' apps can get the same inference result from either FCGI C++ API or python API by using different addresses.
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@ -984,7 +984,7 @@ This service is used to monitor the CCAI container.
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CCAI framework not only provides FGCI APIs, but also provides many gRPC APIs. Client APPs can do inference by calling gRPC APIs.
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The following are detailed gRPC APIs.
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@ -1158,7 +1158,7 @@ Runtime APIs are *“simple” *APIs. *“simple”* means the number of APIs is
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The runtime service library APIs are implemented by two kinds of languages, C++ and python. So it provides two types of APIs. One type is C++ APIs, it can be called by C++ programs directly. Another is python APIs, it is prepared for python programs.
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**Notice:**
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@ -15,7 +15,7 @@ dateCreated: 2022-03-11T03:18:05.283Z
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The picture below is showing the basic working model of CCAI as a whole services provider to provide high level APIs to external users of the services container. Basically, there are 2 methods to use those services which are provided in REST/gRPC APIs form. One is calling those APIs directly, the other one is calling simulation lib APIs (we will talk simulation lib later).
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# CCAI (1.1 release) stack architecture
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@ -24,4 +24,4 @@ The picture below is showing the basic working model of CCAI as a whole services
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The architecture picture below is showing those modules and stacks in a high level picture, it shows CCAI’s components and their dependencies. It is up to date for CCAI 1.1 release.
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@ -10,7 +10,7 @@ dateCreated: 2022-03-11T03:18:07.757Z
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# CCAI service work mode
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AI services for CCAI include two parts, one is client-side, the other is server-side. Customer applications are running on client-side. The CCAI services are running on server-side. Client-side sends http post requests or gRPC requests to server-side, and server-side replies responses to client-side. So developing AI services means development of server-side programs.
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@ -140,7 +140,7 @@ Now you can verify your services by your test application from the host.
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- Create a directory */opt/intel/service_runtime/service/your-service/* and put your binary file in this directory. Create a directory */opt/intel/service_runtime/service/lighttpd/conf-enabled/* and put your configuration file to this directory. The directory hierarchy example:
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- Give permission for the user www-data to access your files, example:
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@ -198,11 +198,11 @@ If you want change the default configuration, you can execute ‘make menuconfig
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```bash
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$>make menuconfig
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```
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You can type ‘Space/Enter’ to expand a branch, or ‘enable/disable’ an option.
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```bash
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$> make base_image
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@ -309,7 +309,7 @@ $ ./release_build.sh image
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You will get 3 Docker images as shown below:
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b) The image service_runtime needs to be installed to OS on the target device, and the image service_runtime_openvino and the image service_runtime_base need to be saved for future incremental OTA image creation.
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@ -336,7 +336,7 @@ If there is no the image service_runtime_openvino found, you may need to pull it
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$ docker pull REGISTRY_SERVER/service_runtime_openvino:ubuntu_20.04
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$ docker tag REGISTRY_SERVER/service_runtime_openvino:ubuntu_20.04 service_runtime_openvino:ubuntu_20.04
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```
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b) Build the image service_runtime following those instructions in CCAI build document
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@ -346,7 +346,7 @@ $ ./release_build.sh image
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You will get the Docker image service_runtime which should be installed to the OS of the target device.
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Example 3, There is a new CCAI release, where both the layer service_runtime_openvino and the layer service_runtime are changed.
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@ -363,7 +363,7 @@ $ docker pull REGISTRY_SERVER/service_runtime_base:ubuntu_20.04
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$ docker tag REGISTRY_SERVER/service_runtime_base:ubuntu_20.04 service_runtime_base:ubuntu_20.04
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```
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b) Build both the image service_runtime_openvino and the image service_runtime respectively.
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@ -371,7 +371,7 @@ b) Build both the image service_runtime_openvino and the image service_runtime r
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$ ./release_build.sh openvino_image
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$ ./release_build.sh image
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```
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c) The newly generated image service_runtime needs to be installed to the OS of the target device, and the newly generated image service_runtime_openvino needs to be updated to your registry server.
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@ -10,7 +10,7 @@ dateCreated: 2022-03-11T03:18:15.834Z
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As mentioned above in chapter 6, CCAI services work mode are:
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AI services for CCAI include two parts, one is client-side, the other is server-side. Customer applications are so called client-side. The CCAI services are server-side. Client-side sends http post requests or gRPC requests to server-side, and server-side replies responses to client-side.
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@ -21,4 +21,4 @@ In brief, one AI services API framework with the same development mode like deve
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* **Intel** - platform differentiating capability developed by Intel
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