add altitude + camera spec component and calc tile size by this

also restrict detections to be no bigger than in classes.json

Azaion.Inference/constants_inf.pyx

@@ -1,3 +1,4 @@
+import json
 import sys
 
 from loguru import logger
@@ -13,7 +14,37 @@ cdef str MODELS_FOLDER = "models"
 cdef int SMALL_SIZE_KB = 3
 
 cdef str SPLIT_SUFFIX = "!split!"
-cdef int TILE_DUPLICATE_CONFIDENCE_THRESHOLD = 5
+cdef double TILE_DUPLICATE_CONFIDENCE_THRESHOLD = 0.01
+cdef int METERS_IN_TILE = 25
+
+cdef class AnnotationClass:
+    def __init__(self, id, name, color, max_object_size_meters):
+        self.id = id
+        self.name = name
+        self.color = color
+        self.max_object_size_meters = max_object_size_meters
+
+    def __str__(self):
+        return f'{self.id} {self.name} {self.color} {self.max_object_size_meters}'
+
+cdef int weather_switcher_increase = 20
+
+WEATHER_MODE_NAMES = {
+    Norm: "Norm",
+    Wint: "Wint",
+    Night: "Night"
+}
+
+with open('classes.json', 'r', encoding='utf-8') as f:
+    j = json.loads(f.read())
+    annotations_dict = {}
+
+    for i in range(0, weather_switcher_increase * 3, weather_switcher_increase):
+        for cl in j:
+            id = i + cl['Id']
+            mode_name = WEATHER_MODE_NAMES.get(i, "Unknown")
+            name = cl['Name'] if i == 0 else f'{cl["Name"]}({mode_name})'
+            annotations_dict[id] = AnnotationClass(id, name, cl['Color'], cl['MaxSizeM'])
 
 logger.remove()
 log_format = "[{time:HH:mm:ss} {level}] {message}"