diff --git a/README.md b/README.md
index b750d8f..8f5cc6e 100644
--- a/README.md
+++ b/README.md
@@ -63,7 +63,7 @@ Currently listening in these countries . . . that I know of . . .
## Features
* **24/7 recording and automatic identification** of bird songs, chirps, and peeps using BirdNET machine learning
-* **Automatic extraction and cataloguing** of bird sounds
+* **Automatic extraction and cataloguing** of bird clips from full-length recordings
* **Tools to visualize your recorded bird data** and analyze trends
* **Live audio stream and spectrogram**
* **Automatic disk space management** that periodically purges old audio files
diff --git a/scripts/config.php b/scripts/config.php
index c507386..ef9bbf1 100644
--- a/scripts/config.php
+++ b/scripts/config.php
@@ -418,7 +418,7 @@ function runProcess() {
BirdNET_6K_GLOBAL_MODEL (2020)
This is the BirdNET-Lite model, with bird sound recognition for more than 6,000 species worldwide. This is the default option and will generally work very for people in most of the world.
- BirdNET_GLOBAL_3K_V2.3_Model_FP16 (2022)
+ BirdNET_GLOBAL_3K_V2.3_Model_FP16 (2023)
This is the BirdNET-Analyzer model, a newer work-in-progress project with aims to improve on the BirdNET-Lite model. Currently it only supports about 3,500 species worldwide, meaning for some regions (North America, Europe, Australia) it will usually outperform the BirdNET-Lite model, but for other regions it will be worse.
[ In-depth technical write-up on the models here ]
diff --git a/scripts/daily_plot.py b/scripts/daily_plot.py
index d42b76c..db989ae 100755
--- a/scripts/daily_plot.py
+++ b/scripts/daily_plot.py
@@ -81,24 +81,25 @@ plot.set(xlabel="Detections")
# Generate crosstab matrix for heatmap plot
-
heat = pd.crosstab(df_plt_top10_today['Com_Name'], df_plt_top10_today['Hour of Day'])
+
# Order heatmap Birds by frequency of occurrance
heat.index = pd.CategoricalIndex(heat.index, categories=freq_order)
heat.sort_index(level=0, inplace=True)
-
hours_in_day = pd.Series(data=range(0, 24))
heat_frame = pd.DataFrame(data=0, index=heat.index, columns=hours_in_day)
heat = (heat + heat_frame).fillna(0)
-# Generatie heatmap plot
+# Get current hour
+current_hour = now.hour
+
+# Generate heatmap plot
plot = sns.heatmap(
heat,
norm=LogNorm(),
annot=True,
- annot_kws={
- "fontsize": 7},
+ annot_kws={"fontsize": 7},
fmt="g",
cmap=pal,
square=False,
@@ -106,9 +107,18 @@ plot = sns.heatmap(
linewidths=0.5,
linecolor="Grey",
ax=axs[1],
- yticklabels=False)
+ yticklabels=False
+)
+
+# Set color and weight of tick label for current hour
+for label in plot.get_xticklabels():
+ if int(label.get_text()) == current_hour:
+ label.set_color('yellow')
+
plot.set_xticklabels(plot.get_xticklabels(), rotation=0, size=7)
+
+
# Set heatmap border
for _, spine in plot.spines.items():
spine.set_visible(True)
diff --git a/scripts/email_template b/scripts/email_template
index 72a559e..ca56c88 100644
--- a/scripts/email_template
+++ b/scripts/email_template
@@ -4,7 +4,9 @@ Below is the information I would like to use to request a BirdWeather ID
%0A%0A
Latitude={{ LATITUDE }}%0A
Longitude={{ LONGITUDE }}%0A
-Location= [ Create a location name ]%0A
+City= [ City ]%0A
+State= [ State ]%0A
+Country= [ Country ]%0A
%0A%0A
Thank you so much!%0A
[ Your Name Here ]
diff --git a/scripts/server.py b/scripts/server.py
index d735160..ccae348 100755
--- a/scripts/server.py
+++ b/scripts/server.py
@@ -585,7 +585,7 @@ def handle_client(conn, addr):
post_scientificName = "\"scientificName\": \"" + entry[0].split('_')[0] + "\","
if model == "BirdNET_GLOBAL_3K_V2.3_Model_FP16":
- post_algorithm = "\"algorithm\": " + "\"2p2\"" + ","
+ post_algorithm = "\"algorithm\": " + "\"2p3\"" + ","
else:
post_algorithm = "\"algorithm\": " + "\"alpha\"" + ","