Python v1.0

.github/workflows/python-demos.yml

@@ -41,6 +41,12 @@ jobs:
     - name: Pre-build dependencies
       run: python -m pip install --upgrade pip
 
+    # TODO: remove after release
+    - name: Build dependencies
+      run: |
+        pip install -U pip setuptools
+        pip install wheel && cd ../../binding/python && python3 setup.py sdist bdist_wheel && pip install dist/pveagle-1.0.0-py3-none-any.whl
+
     - name: Install dependencies
       run: pip install -r requirements.txt
 
@@ -63,7 +69,7 @@ jobs:
 
     strategy:
       matrix:
-        machine: [rpi3-32, rpi3-64, rpi4-32, rpi4-64, jetson]
+        machine: [rpi3-32, rpi3-64, rpi4-32, rpi4-64, rpi5-64, jetson]
 
     steps:
       - uses: actions/checkout@v3

.github/workflows/python-perf.yml

@@ -53,8 +53,8 @@ jobs:
           profiler_performance_threshold_sec: 0.5
           recognizer_performance_threshold_sec: 0.6
         - os: macos-latest
-          profiler_performance_threshold_sec: 0.6
-          recognizer_performance_threshold_sec: 0.8
+          profiler_performance_threshold_sec: 0.9
+          recognizer_performance_threshold_sec: 0.9
 
     steps:
     - uses: actions/checkout@v3
@@ -87,17 +87,20 @@ jobs:
         machine: [rpi3-32, rpi3-64, rpi4-32, rpi4-64, jetson]
         include:
         - machine: rpi3-32
-          profiler_performance_threshold_sec: 2.3
+          profiler_performance_threshold_sec: 2.5
           recognizer_performance_threshold_sec: 2.8
         - machine: rpi3-64
-          profiler_performance_threshold_sec: 2.3
+          profiler_performance_threshold_sec: 2.5
           recognizer_performance_threshold_sec: 2.8
         - machine: rpi4-32
           profiler_performance_threshold_sec: 1.5
           recognizer_performance_threshold_sec: 1.5
         - machine: rpi4-64
           profiler_performance_threshold_sec: 2.0
           recognizer_performance_threshold_sec: 2.5
+        - machine: rpi5-64
+          profiler_performance_threshold_sec: 0.5
+          recognizer_performance_threshold_sec: 0.6
         - machine: jetson
           profiler_performance_threshold_sec: 1.2
           recognizer_performance_threshold_sec: 1.5
@@ -112,6 +115,12 @@ jobs:
     - name: Pre-build dependencies
       run: python3 -m pip install --upgrade pip
 
+    # TODO: remove after release
+    - name: Build dependencies
+      run: |
+        pip install -U pip setuptools
+        pip install wheel && cd ../../binding/python && python3 setup.py sdist bdist_wheel && pip install dist/pveagle-1.0.0-py3-none-any.whl
+
     - name: Install dependencies
       run: pip3 install -r requirements.txt
 

.github/workflows/python.yml

@@ -64,7 +64,7 @@ jobs:
 
     strategy:
       matrix:
-        machine: [rpi3-32, rpi3-64, rpi4-32, rpi4-64, jetson]
+        machine: [rpi3-32, rpi3-64, rpi4-32, rpi4-64, rpi5-64, jetson]
 
     steps:
     - uses: actions/checkout@v3

README.md

@@ -24,7 +24,7 @@ Eagle is an on-device speaker recognition engine. Eagle is:
     - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
     - Android and iOS
     - Chrome, Safari, Firefox, and Edge
-    - Raspberry Pi (4, 3) and NVIDIA Jetson Nano
+    - Raspberry Pi (5, 4, 3) and NVIDIA Jetson Nano
 
 
 ## Table of Contents
@@ -616,6 +616,7 @@ while (true) {
 
  - Enhanced engine accuracy
  - Improved the enrollment process
+ - Added Raspberry Pi 5 support
  - Various bug fixes and improvements
 
 ### v0.2.0 - November 24th, 2023

binding/python/README.md

@@ -12,12 +12,12 @@ Eagle is an on-device speaker recognition engine. Eagle is:
     - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
     - Android and iOS
     - Chrome, Safari, Firefox, and Edge
-    - Raspberry Pi (4, 3) and NVIDIA Jetson Nano
+    - Raspberry Pi (5, 4, 3) and NVIDIA Jetson Nano
 
 ## Compatibility
 
-- Python 3.5 or higher
-- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.
+- Python 3.7 or higher
+- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (5, 4, 3), and NVIDIA Jetson Nano.
 
 ## Installation