inital working version

source/command.py

@@ -0,0 +1,66 @@
+#!/usr/bin/env python3
+from pathlib import Path
+import logging
+
+logging.basicConfig(format='[%(asctime)s] %(process)s %(levelname)s {%(filename)s:%(lineno)d} - %(message)s', level=logging.DEBUG)
+
+try:
+    import cv2
+except ImportError as e:
+    logging.error(f"Missing dependency: {e}")
+    logging.error("Install with: pip install opencv-python")
+    sys.exit(1)
+
+
+
+class Command:
+    """Dataclass for commands"""
+    __AUTHOR__      = 'anima'
+    __VERSION__     = '1.0.0'
+
+    image_dir: Path = Path('images/')
+    supported_extensions = {".png", ".jpg", ".jpeg", ".bmp"}
+
+    def __init__(self, image_name: str, commands: list, counter: int = None, threshold: float = 0.95, position: tuple = None):
+        self.valid      = False
+        self.name       = image_name
+        self.commands   = commands
+        self.threshold  = threshold
+        self.position   = position
+        self.pos_dif    = 10
+        self.counter    = counter
+        self.count      = 0
+        self.load_image()
+
+    def load_image(self) -> bool:
+        """search, load and save image convertet as matchable object
+
+        Returns:
+            bool: Return True if image load successfull
+        """
+        images = list(self.image_dir.rglob('*' + self.name + '*'))
+        if len(images) > 0:
+            for image in images:
+                logging.debug(f'found image: {image.name} (pattern: {self.name})')
+            if len(images) > 1:
+                logging.warning(f'more than one images found for pattern {self.name}, can not load command')
+                return False
+            elif len(images) == 1:
+                logging.info(f'load image for command {self.name}')
+        else:
+            logging.warning('no images found for pattern {self.name}')
+            return False
+
+        if image.suffix.lower() not in self.supported_extensions:
+            logging.warning(f'image type of {image} is not supported')
+            return False
+
+        self.image = cv2.imread(str(image), cv2.IMREAD_COLOR)
+        if image is None:
+            logging.warning(f'could not load {image}')
+        else: 
+            self.valid = True
+        
+        return self.valid
+
+    def check_position(self, )