Refactor inference and AI configuration handling

- Updated the `Inference` class to replace the `get_onnx_engine_bytes` method with `download_model`, allowing for dynamic model loading based on a specified filename.
- Modified the `convert_and_upload_model` method to accept `source_bytes` instead of `onnx_engine_bytes`, enhancing flexibility in model conversion.
- Introduced a new property `engine_name` to the `Inference` class for better access to engine details.
- Adjusted the `AIRecognitionConfig` structure to include a new method pointer `from_dict`, improving configuration handling.
- Updated various test cases to reflect changes in model paths and timeout settings, ensuring consistency and reliability in testing.

e2e/tests/test_single_image.py

@@ -1,5 +1,7 @@
+import io
 import json
 import os
+import struct
 from pathlib import Path
 
 import pytest
@@ -10,34 +12,36 @@ _EPS = 1e-6
 _WEATHER_CLASS_STRIDE = 20
 
 
-def _jpeg_width_height(data):
-    if len(data) < 2 or data[0:2] != b"\xff\xd8":
-        return None
-    i = 2
-    while i + 1 < len(data):
-        if data[i] != 0xFF:
+def _image_width_height(data):
+    if len(data) >= 24 and data[:8] == b"\x89PNG\r\n\x1a\n":
+        w, h = struct.unpack(">II", data[16:24])
+        return w, h
+    if len(data) >= 2 and data[:2] == b"\xff\xd8":
+        i = 2
+        while i + 1 < len(data):
+            if data[i] != 0xFF:
+                i += 1
+                continue
             i += 1
-            continue
-        i += 1
-        while i < len(data) and data[i] == 0xFF:
+            while i < len(data) and data[i] == 0xFF:
+                i += 1
+            if i >= len(data):
+                break
+            m = data[i]
             i += 1
-        if i >= len(data):
-            break
-        m = data[i]
-        i += 1
-        if m in (0xD8, 0xD9):
-            continue
-        if i + 3 > len(data):
-            break
-        seg_len = (data[i] << 8) | data[i + 1]
-        i += 2
-        if m in (0xC0, 0xC1, 0xC2, 0xC3, 0xC5, 0xC6, 0xC7):
-            if i + 5 > len(data):
-                return None
-            h = (data[i + 1] << 8) | data[i + 2]
-            w = (data[i + 3] << 8) | data[i + 4]
-            return w, h
-        i += max(0, seg_len - 2)
+            if m in (0xD8, 0xD9):
+                continue
+            if i + 3 > len(data):
+                break
+            seg_len = (data[i] << 8) | data[i + 1]
+            i += 2
+            if m in (0xC0, 0xC1, 0xC2, 0xC3, 0xC5, 0xC6, 0xC7):
+                if i + 5 > len(data):
+                    return None
+                h = (data[i + 1] << 8) | data[i + 2]
+                w = (data[i + 3] << 8) | data[i + 4]
+                return w, h
+            i += max(0, seg_len - 2)
     return None
 
 
@@ -161,7 +165,7 @@ def test_ft_p_06_overlap_deduplication_ac3(http_client, image_dense, warm_engine
 @pytest.mark.slow
 def test_ft_p_07_physical_size_filtering_ac4(http_client, image_small, warm_engine):
     by_id, _ = _load_classes_media()
-    wh = _jpeg_width_height(image_small)
+    wh = _image_width_height(image_small)
     assert wh is not None
     image_width_px, _ = wh
     altitude = 400.0