Set new 256kHz version

bat_gui.py

@@ -130,8 +130,8 @@ def runAnalysis(
         locale = "de"
 
     elif species_list_choice == "EU":
-        cfg.CUSTOM_CLASSIFIER = cfg.BAT_CLASSIFIER_LOCATION + "/BattyBirdNET-EU-144kHz.tflite"
-        cfg.LABELS_FILE = cfg.BAT_CLASSIFIER_LOCATION + "/BattyBirdNET-EU-144kHz_Labels.txt"
+        cfg.CUSTOM_CLASSIFIER = cfg.BAT_CLASSIFIER_LOCATION + "/BattyBirdNET-Bavaria-256kHz-100.tflite"
+        cfg.LABELS_FILE = cfg.BAT_CLASSIFIER_LOCATION + "/BattyBirdNET-Bavaria-256kHz-100_Labels.txt"
         cfg.LABELS = utils.readLines(cfg.LABELS_FILE)
         cfg.LATITUDE = -1
         cfg.LONGITUDE = -1
@@ -495,11 +495,16 @@ def build_single_analysis_tab():
 
 
 if __name__ == "__main__":
+
+    descr_txt = "Demo of BattyBirdNET deep learning-based bat echolocation call detection. " \
+          "<br>This model is trained on US and central European species (also covers UK and Scandinavia)."
+
     freeze_support()
     with gr.Blocks(
             css=r".d-block .wrap {display: block !important;} .mh-200 {max-height: 300px; overflow-y: auto !important;} footer {display: none !important;} #single_file_audio, #single_file_audio * {max-height: 81.6px; min-height: 0;}",
             theme=gr.themes.Default(),
             analytics_enabled=False,
+            description = descr_txt,
     ) as demo:
         build_single_analysis_tab()
         demo.launch()

checkpoints/bats/v1.0/BattyBirdNET-Bavaria-256kHz-100.tflite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0a77c5c41c7bef8149003a8440e7b3ffc9ca39c1b9edf87bbc919848c125afc
+size 103564

checkpoints/bats/v1.0/BattyBirdNET-Bavaria-256kHz-100_Labels.txt

@@ -0,0 +1,25 @@
+Barbastella barbastellus_Western barbastelle
+Eptesicus nilssonii_Northern bat
+Eptesicus serotinus_Serotine bat
+Hypsugo savii_Savis pipistrelle
+Miniopterus schreibersii_Common bent-wing bat
+Myotis alcathoe_Alcathoe bat
+Myotis bechsteinii_Bechsteins bat
+Myotis brandtii_Brandt bat
+Myotis dasycneme_Pond bat
+Myotis daubentonii_Daubentons bat
+Myotis emarginatus_Geoffroys bat
+Myotis myotis_Greater mouse-eared bat
+Myotis mystacinus_Whiskered bat
+Myotis nattereri_Natterers bat
+NOISE
+Nyctalus leisleri_Lesser noctule
+Nyctalus noctula_Common noctule
+Pipistrellus kuhlii_Kuhls pipistrelle
+Pipistrellus nathusii_Nathusius pipistrelle
+Pipistrellus pipistrellus_Common pipistrelle
+Pipistrellus pygmaeus_Soprano pipistrelle
+Plecotus spec._Long eared bat
+Rhinolophus ferrumequinum_Greater horseshoe bat
+Rhinolophus hipposideros_Lesser horseshoe bat
+Vespertilio murinus_Parti-coloured bat

config.py

@@ -32,7 +32,7 @@ CUSTOM_CLASSIFIER = None
 # For bats we use: 144000 for 1 sec.
 # Note that only SIG_LENGTH * SAMPLING_RATE = 144000 combinations will work,
 # values possible e.g. 144000 240000 360000 check your classifier frequency!
-SAMPLE_RATE: int = 144000
+SAMPLE_RATE: int = 256000
 
 # We're using 1-second chunks
 SIG_LENGTH: float = 144000 / SAMPLE_RATE