Merge branch 'open-edge-platform:main' into main

Author: unarayan

education-ai-suite/smart-classroom/config.yaml

@@ -25,7 +25,7 @@ models:
     min_words: 2
 
   summarizer:
-    provider: openvino # ipex or openvino
+    provider: openvino 
     name: Qwen/Qwen2.5-7B-Instruct # Qwen/Qwen2-7B-Instruct or Qwen/Qwen2.5-7B-Instruct
     device: GPU # GPU or CPU
     weight_format: int8 # supports fp16, int4, int8 (Recommended)

education-ai-suite/smart-classroom/docs/user-guide/get-started.md

@@ -10,9 +10,15 @@ To install dependencies, do the following:
 
 Download from [https://ffmpeg.org/download.html](https://ffmpeg.org/download.html), and add the `ffmpeg/bin` folder to your system `PATH`.
 
+### B. Install DL Streamer
+
+Download the archive from [DL Streamer assets on GitHub](https://github.com/open-edge-platform/edge-ai-libraries/releases) Extract to a new folder, for example `C:\\dlstreamer_dlls`.
+
+For details, refer to [Install Guide](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dl-streamer/get_started/install/install_guide_windows.html).
+
 **Run your shell with admin privileges before starting the application**
 
-### B. Clone Repository
+### C. Clone Repository
 
 ```bash
   git clone --no-checkout https://github.com/open-edge-platform/edge-ai-suites.git
@@ -23,7 +29,7 @@ Download from [https://ffmpeg.org/download.html](https://ffmpeg.org/download.htm
   cd education-ai-suite
 ```
 
-### C. Install Python dependencies
+### D. Install Python dependencies
 
 It’s recommended to create a **dedicated Python virtual environment** for the base dependencies.
 
@@ -37,32 +43,6 @@ python.exe -m pip install --upgrade pip
 pip install --upgrade -r requirements.txt
 ```
 
-### D. \[Optional] Create Python Venv for Ipex Based Summarizer
-
-If you plan to use IPEX, create a separate virtual environment.
-
-```bash
-python -m venv smartclassroom_ipex
-smartclassroom_ipex\Scripts\activate
-# Use Python 3.12.x before running pip.
-python.exe -m pip install --upgrade pip
-cd smart-classroom
-pip install --upgrade -r requirements.txt
-pip install --pre --upgrade ipex-llm[xpu_2.6] --extra-index-url https://download.pytorch.org/whl/xpu
-```
-
-> **Note:**
->
-> - `smartclassroom_ipex` should only be used with FunAsr and Ipex related models
->   (Specified in 2nd section). Don't configure Openvino related models in `smartclassroom_ipex`
-> - Use `smartclassroom` if you don’t need IPEX. Use `smartclassroom_ipex` if you want IPEX summarization.
-
-### E. Install DL Streamer
-
-Download the archive from [DL Streamer assets on GitHub](https://github.com/open-edge-platform/edge-ai-libraries/releases) Extract to a new folder, for example `C:\\dlstreamer_dlls`.
-
-For details, refer to [Install Guide](https://docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dl-streamer/get_started/install/install_guide_windows.html).
-
 ## Step 2: Configuration
 
 ### A. Default Configuration
@@ -71,13 +51,13 @@ By default, the project uses Whisper for transcription and OpenVINO-based Qwen m
 
 ```bash
 asr:
-  provider: openvino            # Supported: openvino, openai, funasr
-  name: whisper-tiny          # Options: whisper-tiny, whisper-small, paraformer-zh etc.
+  provider: openai            # Supported: openvino, openai, funasr
+  name: whisper-small          # Options: whisper-tiny, whisper-small, paraformer-zh etc.
   device: CPU                 # Whisper currently supports only CPU
   temperature: 0.0
 
 summarizer:
-  provider: openvino          # Options: openvino or ipex
+  provider: openvino          
   name: Qwen/Qwen2-7B-Instruct # Examples: Qwen/Qwen1.5-7B-Chat, Qwen/Qwen2-7B-Instruct, Qwen/Qwen2.5-7B-Instruct
   device: GPU                 # Options: GPU or CPU
   weight_format: int8         # Supported: fp16, fp32, int4, int8
@@ -94,57 +74,21 @@ asr:
   name: paraformer-zh
 ```
 
-### B. IPEX-based Summarization
-
-To use IPEX for summarization, ensure:
-
-- IPEX-LLM is installed.
-- The environment for IPEX is activated.
-- The configuration (`smart-classroom/config.yaml`) is updated as shown below:
-
-```bash
-asr:
-  provider: funasr
-  name: paraformer-zh
-summarizer:
-  provider: ipex
-```
-
 **Important: After updating the configuration, reload the application for changes to take effect.**
 
 ## Step 3: Run the Application
 
-Run the setup script.
-Open a PowerShell prompt as and administrator, run the following script and follow instructions:
-
-```sh
-cd C:\\dlstreamer_dlls
-.\setup_dls_env.ps1
-```
-
 Activate the environment before running the application:
 
 ```bash
-smartclassroom\Scripts\activate  # or smartclassroom_ipex
+smartclassroom\Scripts\activate  
 ```
 
 Run the backend:
 
 ```bash
 python main.py
 ```
-
-Bring Up the Frontend:
-
-```bash
-cd ui
-npm install
-npm run dev -- --host 0.0.0.0 --port 5173
-```
-
-> **Note:** Open a second (new) Command Prompt/ terminal window for the frontend.
-> The backend terminal stays busy serving requests.
-
 You should see backend logs similar to this:
 
 ```text
@@ -158,6 +102,17 @@ INFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
 
 This means your pipeline server has started successfully and is ready to accept requests.
 
+Bring Up the Frontend:
+
+> **Note:** Open a second (new) Command Prompt/ terminal window for the frontend.
+> The backend terminal stays busy serving requests.
+
+```bash
+cd C:\path\to\edge-ai-suites\education-ai-suite\smart-classroom\ui
+npm install
+npm run dev -- --host 0.0.0.0 --port 5173
+```
+
 ## Step 4: Access the UI
 
 After starting the frontend you can open the Smart Classroom UI in a browser:

education-ai-suite/smart-classroom/ui/src/components/Footer/Footer.tsx

@@ -4,9 +4,10 @@ import "../../assets/css/Footer.css";
 
 const Footer: React.FC = () => {
   const { t } = useTranslation();
+  const currentYear = new Date().getFullYear();
   return (
     <footer className="footer-bar">
-      <span>{t('footer.copyright')}</span>
+      <span>{t('footer.copyright', { year: currentYear })}</span>
     </footer>
   );
 };

education-ai-suite/smart-classroom/ui/src/i18n/en.json

@@ -7,7 +7,7 @@
       "timer": "Timer"
     },
     "footer": {
-      "copyright": "© 2025 Smart Classroom Sample App"
+      "copyright": "© 2025-{{year}} Smart Classroom Sample App"
     },
     "notifications": {
       "start": "Upload the files or Start recording to begin a new session",

education-ai-suite/smart-classroom/ui/src/i18n/zh.json

@@ -7,7 +7,7 @@
     "timer": "计时器"
   },
   "footer": {
-    "copyright": "© 2025 智能教室示例应用"
+    "copyright": "© 2025-{{year}} 智能教室示例应用"
   },
   "notifications": {
     "start": "上传文件或开始录音以开始新会话",

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/Makefile

@@ -4,6 +4,13 @@
 
 .PHONY: init-mdpnp build-mdpnp build-dds-bridge run down download-rppg-assets
 
+HTTP_PROXY := $(or $(HTTP_PROXY),$(http_proxy))
+HTTPS_PROXY := $(or $(HTTPS_PROXY),$(https_proxy))
+NO_PROXY := $(or $(NO_PROXY),$(no_proxy))
+export HTTP_PROXY
+export HTTPS_PROXY
+export NO_PROXY
+
 MDPNP_PATH := services/mdpnp/mdpnp
 DDS_BRIDGE_PATH := services/dds-bridge
 DOCKER_COMPOSE := docker-compose.yaml
@@ -32,10 +39,10 @@ run:
 	@if [ "$(REGISTRY)" = "true" ]; then \
 		echo "##############Using registry mode - fetching all images..."; \
 		echo "Using HOST_IP=$(HOST_IP) for UI backend"; \
-		docker compose -f $(DOCKER_COMPOSE) --env-file configs/device.env up -d; \
+		./run_compose.sh -d; \
 	else \
 		echo "Using HOST_IP=$(HOST_IP) for UI backend"; \
-		docker compose -f $(DOCKER_COMPOSE) --env-file configs/device.env up --build -d; \
+		./run_compose.sh --build -d; \
 	fi
 	@echo "==============================================="
 	@echo "Multi-modal patient monitoring application is starting up."

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/docker-compose.yaml

@@ -13,6 +13,11 @@ services:
         NO_PROXY: ${NO_PROXY}
     image: intel/hl-ai-patient-monitoring-assets:${TAG:-1.0.1}
     container_name: patient-monitoring-assets
+    environment:
+      - MODEL_CONFIG_PATH=/app/configs/model-config.yaml
+      - HTTP_PROXY=${HTTP_PROXY}
+      - HTTPS_PROXY=${HTTPS_PROXY}
+      - NO_PROXY=${NO_PROXY}
     volumes:
       - ./configs/model-config.yaml:/app/configs/model-config.yaml:ro
       - ./models:/models
@@ -60,7 +65,7 @@ services:
       - /sys/class/drm:/sys/class/drm:ro
       - /sys/kernel/debug:/sys/kernel/debug:ro    
       - /run:/run
-      - /proc:/proc:ro
+      - /proc:/proc
 
   mdpnp:
     build:
@@ -121,15 +126,13 @@ services:
         condition: service_started
     environment:
       - ECG_DEVICE=${ECG_DEVICE}  
-      - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so   
     env_file:
       - ./configs/device.env  
     volumes:
       - ./models:/models
       - ./videos:/videos
     devices:
       - "/dev/dri:/dev/dri"
-      - "/dev/accel/accel0:/dev/accel/accel0" 
     group_add:
       - video
 
@@ -154,7 +157,6 @@ services:
         - DEPLOYMENT_ENV=production
         - POSE_3D_DEVICE=${POSE_3D_DEVICE:-GPU}
         - CONTROL_PORT=8083     
-        - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so  
       env_file:
         - ./configs/device.env
       depends_on:
@@ -167,7 +169,6 @@ services:
         - ./videos:/videos 
       devices:
         - "/dev/dri:/dev/dri"
-        - "/dev/accel/accel0:/dev/accel/accel0" 
       group_add:
         - video
 
@@ -189,15 +190,13 @@ services:
           condition: service_started  
     environment:
       - RPPG_DEVICE=${RPPG_DEVICE}  
-      - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so    
     env_file:
       - ./configs/device.env  
     volumes:
       - ./models:/models
       - ./videos:/videos
     devices:
       - "/dev/dri:/dev/dri" 
-      - "/dev/accel/accel0:/dev/accel/accel0" 
     group_add:
       - video      
 
@@ -225,4 +224,4 @@ services:
       3dpose-estimation:
         condition: service_started
       rppg:
-        condition: service_started    
+        condition: service_started    

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/run_compose.sh

@@ -0,0 +1,63 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+if [[ ! -f "${ROOT_DIR}/configs/device.env" ]]; then
+  echo "configs/device.env not found; running without NPU override" >&2
+  exec docker compose -f "${ROOT_DIR}/docker-compose.yaml" up "$@"
+fi
+
+source "${ROOT_DIR}/configs/device.env"
+
+TMP_OVERRIDE="$(mktemp)"
+trap 'rm -f "${TMP_OVERRIDE}"' EXIT
+
+echo "services:" > "${TMP_OVERRIDE}"
+
+HAS_NPU=false
+
+if [[ "${ECG_DEVICE:-}" == "NPU" ]]; then
+  HAS_NPU=true
+  cat >> "${TMP_OVERRIDE}" <<EOF
+  ai-ecg:
+    environment:
+      - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so
+    devices:
+      - "/dev/dri:/dev/dri"
+      - "/dev/accel/accel0:/dev/accel/accel0"
+EOF
+fi
+
+if [[ "${POSE_3D_DEVICE:-}" == "NPU" ]]; then
+  HAS_NPU=true
+  cat >> "${TMP_OVERRIDE}" <<EOF
+  3dpose-estimation:
+    environment:
+      - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so
+    devices:
+      - "/dev/dri:/dev/dri"
+      - "/dev/accel/accel0:/dev/accel/accel0"
+EOF
+fi
+
+if [[ "${RPPG_DEVICE:-}" == "NPU" ]]; then
+  HAS_NPU=true
+  cat >> "${TMP_OVERRIDE}" <<EOF
+  rppg:
+    environment:
+      - ZE_ENABLE_ALT_DRIVERS=libze_intel_npu.so
+    devices:
+      - "/dev/dri:/dev/dri"
+      - "/dev/accel/accel0:/dev/accel/accel0"
+EOF
+fi
+
+if [[ "${HAS_NPU}" == true ]]; then
+  echo "Detected NPU devices in configs/device.env; using runtime override ${TMP_OVERRIDE}" >&2
+  exec docker compose --env-file "${ROOT_DIR}/configs/device.env" -f "${ROOT_DIR}/docker-compose.yaml" -f "${TMP_OVERRIDE}" up "$@"
+else
+  echo "No NPU devices configured in configs/device.env; running without NPU override" >&2
+  exec docker compose --env-file "${ROOT_DIR}/configs/device.env" -f "${ROOT_DIR}/docker-compose.yaml" up "$@"
+fi
+

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/services/3d-pose-estimation/Dockerfile

@@ -4,7 +4,6 @@ ARG HTTP_PROXY
 ARG HTTPS_PROXY
 ARG NO_PROXY
 
-
 # GPU support (if using OpenVINO with GPU plugin, ensure the base image has necessary drivers/libraries)
 ARG INSTALL_DRIVER_VERSION="25.31.34666"
 ARG USER_ID=1000
@@ -13,6 +12,7 @@ ARG USER_GROUP_ID=1000
 RUN groupadd -g ${USER_GROUP_ID} appuser && useradd -m -s /bin/bash -u ${USER_ID} -g ${USER_GROUP_ID} appuser
 
 RUN apt-get update -y && apt-get install -y --no-install-recommends --fix-missing \
+    ca-certificates \
     curl \
     && rm -rf /var/lib/apt/lists/* 
 
@@ -32,7 +32,7 @@ WORKDIR /app
 
 # Copy requirements and install Python dependencies (relative to build context)
 COPY src/requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --default-timeout=300 --retries=5 -r requirements.txt
 
 # Copy proto files and generate Python code (relative to build context)
 COPY proto/ ./proto/

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/services/3d-pose-estimation/src/requirements.txt

@@ -5,9 +5,9 @@ numpy>=1.23.0,<2.0
 scipy>=1.10.0
 
 # gRPC runtime
-grpcio>=1.60.0
-grpcio-tools>=1.60.0
-protobuf>=4.25.0,<5.0.0
+grpcio==1.78.0
+grpcio-tools==1.71.2
+protobuf==5.29.6
 
 # Control server and MJPEG streaming
 fastapi>=0.104.0