Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management

- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.

These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.

src/annotation.pxd

@@ -0,0 +1,12 @@
+cdef class Detection:
+    cdef public double x, y, w, h, confidence
+    cdef public int cls
+
+    cdef bint overlaps(self, Detection det2, float confidence_threshold)
+
+cdef class Annotation:
+    cdef public str name
+    cdef public str original_media_name
+    cdef long time
+    cdef public list[Detection] detections
+    cdef public bytes image