perf($OpenCV): change dependency to opencv-python-headless==4.5.4.58

Packages for server (headless) environments (such as Docker, cloud
environments etc.), no GUI library dependencies.

Headless main modules package: pip install opencv-python-headless
Headless full package (contains both main modules and contrib/extra
modules): pip install opencv-contrib-python-headless

https://pypi.org/project/opencv-python-headless/4.5.4.58/

Author: johnnymillergh

Pipfile

@@ -9,7 +9,7 @@ python_version = "3.10"
 [packages]
 peewee = "==3.14.8"
 loguru = "==0.5.3"
-opencv-python = "==4.5.4.58"
+opencv-python-headless = "==4.5.4.58"
 pyhocon = "==0.3.58"
 jinja2 = "==3.0.3"
 

Pipfile.lock

@@ -1,22 +1,22 @@
+from loguru import logger
+
 from home_guardian.configuration.thread_pool_configuration import (
     cleanup as thread_pool_cleanup,
 )
-from home_guardian.configuration.thread_pool_configuration import simulate_multi_thread
-
-
-def cleanup() -> None:
-    thread_pool_cleanup()
+from home_guardian.opencv.face_detection import detect_and_take_photo
 
 
-def main() -> None:
+def _main() -> None:
     """
     Main function.
     """
     try:
-        simulate_multi_thread()
+        detect_and_take_photo()
     finally:
-        cleanup()
+        # Cleanup procedures
+        logger.warning("Cleaning up…")
+        thread_pool_cleanup()
 
 
 if __name__ == "__main__":
-    main()
+    _main()

home_guardian/__main__.py

@@ -2,6 +2,7 @@
 import os
 from time import sleep
 
+# noinspection PyPackageRequirements
 import cv2.cv2 as cv2
 from loguru import logger
 
@@ -18,10 +19,18 @@
 
 
 def detect_and_take_photo() -> None:
+    """
+    Detect and take photo.
+    :return: when exception is raised, return None.
+    """
     face = cv2.CascadeClassifier(
         f"{get_resources_dir()}/haarcascade_frontalface_alt2.xml"
     )
-    capture = cv2.VideoCapture(0)
+    try:
+        capture = cv2.VideoCapture(0)
+    except Exception as e:
+        logger.error("Exception raised while capturing video!", e)
+        return
     while True:
         return_value, frame = capture.read()
         gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)