Update to BirdNET Species Range Model V2.4 - V2 (#104)

* Update species model to BirdNET Species Range Model V2.4 - V2

* Update tests to match results of updated species range model

src/birdnetlib/species.py

@@ -11,7 +11,7 @@
 
 SPECIES_MODEL_PATH = os.path.join(
     os.path.dirname(__file__),
-    "models/analyzer/BirdNET_GLOBAL_6K_V2.4_MData_Model_FP16.tflite",
+    "models/analyzer/BirdNET_GLOBAL_6K_V2.4_MData_Model_V2_FP16.tflite",
 )
 LABEL_PATH = os.path.join(
     os.path.dirname(__file__), "models/analyzer/BirdNET_GLOBAL_6K_V2.4_Labels.txt"

tests/test_analyzer.py

@@ -65,7 +65,7 @@ def test_without_species_list():
     # Check that birdnetlib results match command line results.
     assert len(recording.detections) == len(commandline_results)
     assert (
-        len(analyzer.custom_species_list) == 141
+        len(analyzer.custom_species_list) == 195
     )  # Check that this matches the number printed by the cli version.
 
     # Check that detection confidence is float.

tests/test_buffer_analyzer.py

@@ -70,7 +70,7 @@ def test_without_species_list():
         # Check that birdnetlib results match command line results.
         assert len(recording.detections) == len(commandline_results)
         assert (
-            len(analyzer.custom_species_list) == 141
+            len(analyzer.custom_species_list) == 195
         )  # Check that this matches the number printed by the cli version.
 
         # Check that detection confidence is float.

tests/test_large_recording.py

@@ -108,7 +108,7 @@ def test_large_with_analyzer(filepath, cls_type):
     # Check that birdnetlib results match command line results.
     assert len(recording.detections) == len(commandline_results)
     assert (
-        len(analyzer.custom_species_list) == 141
+        len(analyzer.custom_species_list) == 195
     )  # Check that this matches the number printed by the cli version.
 
     # Check that detection confidence is float.

tests/test_overlap_property.py

@@ -67,7 +67,7 @@ def test_without_species_list():
     # Check that birdnetlib results match command line results.
     assert len(recording.detections) == len(commandline_results)
     assert (
-        len(analyzer.custom_species_list) == 141
+        len(analyzer.custom_species_list) == 195
     )  # Check that this matches the number printed by the cli version.
 
     # Check that detection confidence is float.

tests/test_species_list.py

@@ -12,29 +12,29 @@ def test_species_list_for_analyzers():
     species_list = species.return_list_for_analyzer(
         lon=lon, lat=lat, week_48=week_48, threshold=filter_threshold
     )
-    assert len(species_list) == 141
+    assert len(species_list) == 195
 
     # Using datetime
     date = datetime(year=2022, month=5, day=10)
 
     species_list = species.return_list_for_analyzer(
         lon=lon, lat=lat, date=date, threshold=filter_threshold
     )
-    assert len(species_list) == 141
+    assert len(species_list) == 195
 
     # Using no date or week_48
     species_list = species.return_list_for_analyzer(
         lon=lon, lat=lat, threshold=filter_threshold
     )
-    assert len(species_list) == 216
+    assert len(species_list) == 269
 
     # Adjust time threshold
     date = datetime(year=2022, month=5, day=10)
     filter_threshold = 0.1
     species_list = species.return_list_for_analyzer(
         lon=lon, lat=lat, date=date, threshold=filter_threshold
     )
-    assert len(species_list) == 80
+    assert len(species_list) == 110
 
 
 def test_species_list():
@@ -47,7 +47,7 @@ def test_species_list():
     species_list = species.return_list(
         lon=lon, lat=lat, week_48=week_48, threshold=filter_threshold
     )
-    assert len(species_list) == 141
+    assert len(species_list) == 195
     print(species_list[0])
-    assert species_list[0]["scientific_name"] == "Haemorhous mexicanus"
-    assert species_list[0]["common_name"] == "House Finch"
+    assert species_list[0]["scientific_name"] == "Cathartes aura"
+    assert species_list[0]["common_name"] == "Turkey Vulture"