[AZ-180] Refactor detection event handling and improve SSE support

- Updated the detection image endpoint to require a channel ID for event streaming.
- Introduced a new endpoint for streaming detection events, allowing clients to receive real-time updates.
- Enhanced the internal buffering mechanism for detection events to manage multiple channels.
- Refactored the inference module to support the new event handling structure.

Made-with: Cursor

src/engines/tensorrt_engine.pyx

@@ -113,11 +113,6 @@ cdef class TensorRTEngine(InferenceEngine):
         except Exception:
             return None
 
-    @staticmethod
-    def get_source_filename():
-        import constants_inf
-        return constants_inf.AI_ONNX_MODEL_FILE
-
     @staticmethod
     def convert_from_source(bytes onnx_model, str calib_cache_path=None):
         gpu_mem = TensorRTEngine.get_gpu_memory_bytes(0)