Merge branch 'main' of github.com:mcguirepr89/BirdNET-Pi
This commit is contained in:
mcguirepr89
@@ -13,9 +13,6 @@ jobs:
|
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steps:
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- name: Checkout
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uses: actions/checkout@v3
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with:
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# This is a bit heavy handed, but we need `origin/main` to get a ref to diff against
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fetch-depth: 0
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|
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- name: Setup Python
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uses: actions/setup-python@v3
|
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@@ -29,5 +26,4 @@ jobs:
|
||||
|
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- name: Run Flake8 Lint
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run: |
|
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DIFF="$(git --no-pager diff -u $(git merge-base HEAD origin/main) -- '**/*.py')"
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echo "$DIFF" | flake8 --diff
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flake8
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|
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@@ -46,7 +46,7 @@ Currently listening in these countries . . . that I know of . . .
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* 24/7 recording and BirdNET-Lite analysis
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* Automatic extraction of detected data (creating audio clips of detected bird sounds)
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* Spectrograms available for all extractions
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* Live audio stream
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* Live audio stream & spectrogram
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* [BirdWeather](https://app.birdweather.com) integration -- you can request a BirdWeather ID from BirdNET-Pi's "Tools" > "Settings" page
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* Web interface access to all data and logs provided by [Caddy](https://caddyserver.com)
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* Web Terminal
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@@ -110,6 +110,7 @@ I hope that if you find BirdNET-Pi has been worth your time, you will share your
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|
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- [Marie Lelouche's <i>Out of Spaces</i>](https://www.lestanneries.fr/exposition/marie-lelouche-out-of-spaces/) using BirdNET-Pi in post-sculpture VR! [Press Kit](https://github.com/mcguirepr89/BirdNET-Pi-assets/blob/main/dp_out_of_spaces_marie_lelouche_digital_05_01_22.pdf)
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- [Research on noded BirdNET-Pi networks for farming](https://github.com/mcguirepr89/BirdNET-Pi-assets/blob/main/G23_Report_ModelBasedSysEngineering_FarmMarkBirdDetector_V1__Copy_.pdf)
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- [PixCams Build Guide](https://pixcams.com/building-a-birdnet-pi-real-time-acoustic-bird-id-station/)
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- <ins>[Core-Electronics](https://core-electronics.com.au/projects/bird-calls-raspberry-pi)</ins> Build Article
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@@ -551,9 +551,11 @@ button:hover {
|
||||
width:25px !important;
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||||
height:25px !important;
|
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}
|
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|
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.relative {
|
||||
position:relative;
|
||||
}
|
||||
|
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.sortbutton {
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margin-top:10px;
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font-size:x-large;
|
||||
@@ -561,6 +563,7 @@ button:hover {
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||||
padding:5px;
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||||
box-shadow: 0px 0px 5px 2px rgba(0, 0, 0, 0.10);
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}
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button.legacyview {
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color:gray;
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margin:5px;
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@@ -573,6 +576,7 @@ button.legacyview {
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||||
transition:box-shadow 280ms cubic-bezier(0.4, 0, 0.2, 1);
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box-shadow:0px 3px 1px -2px rgb(0 0 0 / 20%), 0px 2px 2px 0px rgb(0 0 0 / 14%), 0px 1px 5px 0px rgb(0 0 0 / 12%);
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}
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|
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button.legacyview:hover {
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||||
box-shadow:0px 2px 4px -1px rgb(0 0 0 / 20%), 0px 4px 5px 0px rgb(0 0 0 / 14%), 0px 1px 10px 0px rgb(0 0 0 / 12%);
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}
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@@ -586,12 +590,15 @@ button.loadmore {
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box-shadow:0px 3px 1px -2px rgb(0 0 0 / 20%), 0px 2px 2px 0px rgb(0 0 0 / 14%), 0px 1px 5px 0px rgb(0 0 0 / 12%);
|
||||
|
||||
}
|
||||
|
||||
button.loadmore:hover {
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||||
box-shadow:0px 2px 4px -1px rgb(0 0 0 / 20%), 0px 4px 5px 0px rgb(0 0 0 / 14%), 0px 1px 10px 0px rgb(0 0 0 / 12%);
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||||
}
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||||
|
||||
#searchterm {
|
||||
transition:box-shadow 280ms cubic-bezier(0.4, 0, 0.2, 1);
|
||||
}
|
||||
|
||||
#searchterm:hover {
|
||||
box-shadow:0px 2px 4px -1px rgb(0 0 0 / 20%), 0px 4px 5px 0px rgb(0 0 0 / 14%), 0px 1px 10px 0px rgb(0 0 0 / 12%);
|
||||
}
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||||
@@ -599,29 +606,36 @@ button.loadmore:hover {
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tr {
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background-color:#9fe29b;
|
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}
|
||||
|
||||
.history.centered form {
|
||||
display:flex;
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||||
justify-content: center;
|
||||
}
|
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|
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.history.centered input {
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margin-right:5px;
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border:0px;
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}
|
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|
||||
.centered form#views button {
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||||
box-shadow: 0px 0px 5px 2px rgba(0, 0, 0, 0.10);
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margin:2px;
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transition:box-shadow 280ms cubic-bezier(0.4, 0, 0.2, 1);
|
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box-shadow:0px 3px 1px -2px rgb(0 0 0 / 20%), 0px 2px 2px 0px rgb(0 0 0 / 14%), 0px 1px 5px 0px rgb(0 0 0 / 12%);
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||||
}
|
||||
|
||||
.centered form#views button:hover {
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box-shadow:0px 2px 4px -1px rgb(0 0 0 / 20%), 0px 4px 5px 0px rgb(0 0 0 / 14%), 0px 1px 10px 0px rgb(0 0 0 / 12%);
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}
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|
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input {
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||||
box-shadow: 0px 0px 17px 1px rgba(0, 0, 0, 0.10);
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}
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dialog {
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border:none;
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}
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|
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dialog::backdrop {
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background: repeating-linear-gradient(
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30deg,
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@@ -632,12 +646,14 @@ dialog::backdrop {
|
||||
);
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backdrop-filter: blur(1px)
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}
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|
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.centered_image_container {
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font-size:19px !important;
|
||||
display:inline-block;
|
||||
position:relative;
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||||
margin-bottom:3px;
|
||||
}
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.centered_image_container img.img1 {
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transition:box-shadow 280ms cubic-bezier(0.4, 0, 0.2, 1);
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box-shadow:0px 3px 1px -2px rgb(0 0 0 / 20%), 0px 2px 2px 0px rgb(0 0 0 / 14%), 0px 1px 5px 0px rgb(0 0 0 / 12%);
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@@ -649,19 +665,27 @@ dialog::backdrop {
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border-radius: 5px;
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width:unset;
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}
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|
||||
.centered_image_container img.img1:hover{
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||||
opacity:0.8;
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box-shadow:0px 2px 4px -1px rgb(0 0 0 / 20%), 0px 4px 5px 0px rgb(0 0 0 / 14%), 0px 1px 10px 0px rgb(0 0 0 / 12%);
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}
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.centered_image_container * {
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||||
font-size:19px !important;
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||||
}
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|
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.centered_image_container form {
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margin-bottom:0px;
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||||
}
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.brbanner {
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padding:15px;
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background-color:rgb(159, 226, 155);
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text-align:center;
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||||
font-size:large;
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||||
}
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#gain.centered {
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margin-bottom:10px;
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}
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+3
-3
@@ -12,6 +12,9 @@ body::-webkit-scrollbar {
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<form action="" method="GET" id="views">
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<button type="submit" name="view" value="Today's Detections" form="views">Today's Detections</button>
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</form>
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||||
<form action="" method="GET" id="views">
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||||
<button type="submit" name="view" value="Spectrogram" form="views">Spectrogram</button>
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||||
</form>
|
||||
<form action="" method="GET" id="views">
|
||||
<button type="submit" name="view" value="Species Stats" form="views">Best Recordings</button>
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</form>
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||||
@@ -24,9 +27,6 @@ body::-webkit-scrollbar {
|
||||
<form action="" method="GET" id="views">
|
||||
<button type="submit" name="view" value="Recordings" form="views">Recordings</button>
|
||||
</form>
|
||||
<form action="" method="GET" id="views">
|
||||
<button type="submit" name="view" value="Spectrogram" form="views">Spectrogram</button>
|
||||
</form>
|
||||
<form action="" method="GET" id="views">
|
||||
<button type="submit" name="view" value="View Log" form="views">View Log</button>
|
||||
</form>
|
||||
|
||||
+52
-11
@@ -11,6 +11,7 @@ ADDR = (SERVER, PORT)
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client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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client.connect(ADDR)
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||||
|
||||
|
||||
def send(msg):
|
||||
message = msg.encode(FORMAT)
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msg_length = len(message)
|
||||
@@ -20,6 +21,7 @@ def send(msg):
|
||||
client.send(message)
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print(client.recv(2048).decode(FORMAT))
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|
||||
|
||||
def main():
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||||
|
||||
global INCLUDE_LIST
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@@ -28,16 +30,52 @@ def main():
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# Parse passed arguments
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parser = argparse.ArgumentParser()
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parser.add_argument('--i', help='Path to input file.')
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||||
parser.add_argument('--o', default='result.csv', help='Path to output file. Defaults to result.csv.')
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parser.add_argument('--lat', type=float, default=-1, help='Recording location latitude. Set -1 to ignore.')
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parser.add_argument('--lon', type=float, default=-1, help='Recording location longitude. Set -1 to ignore.')
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||||
parser.add_argument('--week', type=int, default=-1, help='Week of the year when the recording was made. Values in [1, 48] (4 weeks per month). Set -1 to ignore.')
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parser.add_argument('--overlap', type=float, default=0.0, help='Overlap in seconds between extracted spectrograms. Values in [0.0, 2.9]. Defaults tp 0.0.')
|
||||
parser.add_argument('--sensitivity', type=float, default=1.0, help='Detection sensitivity; Higher values result in higher sensitivity. Values in [0.5, 1.5]. Defaults to 1.0.')
|
||||
parser.add_argument('--min_conf', type=float, default=0.1, help='Minimum confidence threshold. Values in [0.01, 0.99]. Defaults to 0.1.')
|
||||
parser.add_argument('--include_list', default='null', help='Path to text file containing a list of included species. Not used if not provided.')
|
||||
parser.add_argument('--exclude_list', default='null', help='Path to text file containing a list of excluded species. Not used if not provided.')
|
||||
parser.add_argument('--birdweather_id', default='99999', help='Private Station ID for BirdWeather.')
|
||||
parser.add_argument(
|
||||
'--o',
|
||||
default='result.csv',
|
||||
help='Path to output file. Defaults to result.csv.')
|
||||
parser.add_argument(
|
||||
'--lat',
|
||||
type=float,
|
||||
default=-1,
|
||||
help='Recording location latitude. Set -1 to ignore.')
|
||||
parser.add_argument(
|
||||
'--lon',
|
||||
type=float,
|
||||
default=-1,
|
||||
help='Recording location longitude. Set -1 to ignore.')
|
||||
parser.add_argument(
|
||||
'--week',
|
||||
type=int,
|
||||
default=-1,
|
||||
help='Week of the year when the recording was made. Values in [1, 48] (4 weeks per month). Set -1 to ignore.')
|
||||
parser.add_argument(
|
||||
'--overlap',
|
||||
type=float,
|
||||
default=0.0,
|
||||
help='Overlap in seconds between extracted spectrograms. Values in [0.0, 2.9]. Defaults tp 0.0.')
|
||||
parser.add_argument(
|
||||
'--sensitivity',
|
||||
type=float,
|
||||
default=1.0,
|
||||
help='Detection sensitivity; Higher values result in higher sensitivity. Values in [0.5, 1.5]. Defaults to 1.0.')
|
||||
parser.add_argument(
|
||||
'--min_conf',
|
||||
type=float,
|
||||
default=0.1,
|
||||
help='Minimum confidence threshold. Values in [0.01, 0.99]. Defaults to 0.1.')
|
||||
parser.add_argument(
|
||||
'--include_list',
|
||||
default='null',
|
||||
help='Path to text file containing a list of included species. Not used if not provided.')
|
||||
parser.add_argument(
|
||||
'--exclude_list',
|
||||
default='null',
|
||||
help='Path to text file containing a list of excluded species. Not used if not provided.')
|
||||
parser.add_argument(
|
||||
'--birdweather_id',
|
||||
default='99999',
|
||||
help='Private Station ID for BirdWeather.')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
@@ -73,10 +111,13 @@ def main():
|
||||
###############################################################################
|
||||
###############################################################################
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
main()
|
||||
|
||||
# Example calls
|
||||
# python3 analyze.py --i 'example/XC558716 - Soundscape.mp3' --lat 35.4244 --lon -120.7463 --week 18
|
||||
# python3 analyze.py --i 'example/XC563936 - Soundscape.mp3' --lat 47.6766 --lon -122.294 --week 11 --overlap 1.5 --min_conf 0.25 --sensitivity 1.25 --custom_list 'example/custom_species_list.txt'
|
||||
# python3 analyze.py --i 'example/XC563936 - Soundscape.mp3' --lat 47.6766
|
||||
# --lon -122.294 --week 11 --overlap 1.5 --min_conf 0.25 --sensitivity
|
||||
# 1.25 --custom_list 'example/custom_species_list.txt'
|
||||
|
||||
+28
-7
@@ -1,6 +1,5 @@
|
||||
import sqlite3
|
||||
import os
|
||||
import configparser
|
||||
import pandas as pd
|
||||
import seaborn as sns
|
||||
import matplotlib.pyplot as plt
|
||||
@@ -72,8 +71,6 @@ colors = plt.cm.Greens(norm(confmax))
|
||||
plot = sns.countplot(y='Com_Name', data=df_plt_top10_today, palette=colors, order=freq_order, ax=axs[0])
|
||||
|
||||
|
||||
|
||||
|
||||
# Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
|
||||
z = plot.get_ymajorticklabels()
|
||||
plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(), 15)) for ticklabel in plot.get_yticklabels()], fontsize=10)
|
||||
@@ -94,7 +91,20 @@ heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day)
|
||||
heat = (heat + heat_frame).fillna(0)
|
||||
|
||||
# Generatie heatmap plot
|
||||
plot = sns.heatmap(heat, norm=LogNorm(), annot=True, annot_kws={"fontsize":7}, fmt="g", cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False)
|
||||
plot = sns.heatmap(
|
||||
heat,
|
||||
norm=LogNorm(),
|
||||
annot=True,
|
||||
annot_kws={
|
||||
"fontsize": 7},
|
||||
fmt="g",
|
||||
cmap=pal,
|
||||
square=False,
|
||||
cbar=False,
|
||||
linewidths=0.5,
|
||||
linecolor="Grey",
|
||||
ax=axs[1],
|
||||
yticklabels=False)
|
||||
plot.set_xticklabels(plot.get_xticklabels(), rotation=0, size=7)
|
||||
|
||||
# Set heatmap border
|
||||
@@ -142,8 +152,6 @@ colors = plt.cm.Reds(norm(confmax))
|
||||
plot = sns.countplot(y='Com_Name', data=df_plt_Bot10_today, palette=colors, order=freq_order, ax=axs[0])
|
||||
|
||||
|
||||
|
||||
|
||||
# Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
|
||||
z = plot.get_ymajorticklabels()
|
||||
plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(), 15)) for ticklabel in plot.get_yticklabels()], fontsize=10)
|
||||
@@ -163,7 +171,20 @@ heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day)
|
||||
heat = (heat + heat_frame).fillna(0)
|
||||
|
||||
# Generatie heatmap plot
|
||||
plot = sns.heatmap(heat, norm=LogNorm(), annot=True, fmt="g", annot_kws={"fontsize":7}, cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False)
|
||||
plot = sns.heatmap(
|
||||
heat,
|
||||
norm=LogNorm(),
|
||||
annot=True,
|
||||
fmt="g",
|
||||
annot_kws={
|
||||
"fontsize": 7},
|
||||
cmap=pal,
|
||||
square=False,
|
||||
cbar=False,
|
||||
linewidths=0.5,
|
||||
linecolor="Grey",
|
||||
ax=axs[1],
|
||||
yticklabels=False)
|
||||
plot.set_xticklabels(plot.get_xticklabels(), rotation=0, size=7)
|
||||
|
||||
# Set heatmap border
|
||||
|
||||
+24
-15
@@ -4,8 +4,7 @@ import pandas as pd
|
||||
import numpy as np
|
||||
import plotly.graph_objects as go
|
||||
from plotly.subplots import make_subplots
|
||||
from datetime import timedelta, datetime
|
||||
from pathlib import Path
|
||||
from datetime import timedelta
|
||||
import sqlite3
|
||||
from sqlite3 import Connection
|
||||
import plotly.express as px
|
||||
@@ -43,6 +42,7 @@ def get_data(conn: Connection):
|
||||
df1 = pd.read_sql("SELECT * FROM detections", con=conn)
|
||||
return df1
|
||||
|
||||
|
||||
conn = get_connection(URI_SQLITE_DB)
|
||||
# Read in the cereal data
|
||||
# df = load_data()
|
||||
@@ -52,7 +52,6 @@ df2['DateTime']=pd.to_datetime(df2['Date'] + " " + df2['Time'])
|
||||
df2 = df2.set_index('DateTime')
|
||||
|
||||
|
||||
|
||||
# Filter on date range
|
||||
# Date as calendars
|
||||
# Start_Date = pd.to_datetime(st.sidebar.date_input('Which date do you want to start?', value = df2.index.min()))
|
||||
@@ -70,14 +69,22 @@ Date_Slider = cols1.slider('Date Range',
|
||||
)
|
||||
|
||||
|
||||
|
||||
filt = (df2.index >= pd.Timestamp(Date_Slider[0])) & (df2.index <= pd.Timestamp(Date_Slider[1] + timedelta(days=1)))
|
||||
df2 = df2[filt]
|
||||
|
||||
st.write('<style>div.row-widget.stRadio > div{flex-direction:row;justify-content: left;} </style>', unsafe_allow_html=True)
|
||||
st.write('<style>div.st-bf{flex-direction:column;} div.st-ag{font-weight:bold;padding-left:2px;}</style>', unsafe_allow_html=True)
|
||||
|
||||
resample_sel=cols2.radio("Select Resample Resolution - To downsample and make run faster select longer period, Daily provides a view on detections at 15 min intervals through the day", ('1 minute', '5 minutes', '10 minutes', 'Hourly', 'Daily'))
|
||||
resample_sel = cols2.radio(
|
||||
'''
|
||||
Select Resample Resolution - To downsample and make run faster select longer period,
|
||||
Daily provides a view on detections at 15 min intervals through the day
|
||||
''',
|
||||
('1 minute',
|
||||
'5 minutes',
|
||||
'10 minutes',
|
||||
'Hourly',
|
||||
'Daily'))
|
||||
|
||||
resample_times = {'1 minute': '1min',
|
||||
'5 minutes': '5min',
|
||||
@@ -124,13 +131,20 @@ filt=df2['Com_Name']==specie
|
||||
df_counts = sum(df5 == specie)
|
||||
|
||||
|
||||
|
||||
|
||||
if resample_time != '1D':
|
||||
fig = make_subplots(
|
||||
rows=3, cols=2,
|
||||
specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}], [{"rowspan": 1}, {"rowspan": 1}], [None, {"type": "xy", "rowspan": 1}]],
|
||||
subplot_titles=('<b>Top '+ str(top_N) + ' Species in Date Range '+str(Date_Slider[0])+' to '+str(Date_Slider[1])+' for '+str(resample_sel)+' sampling interval.'+'</b>',
|
||||
subplot_titles=('<b>Top ' +
|
||||
str(top_N) +
|
||||
' Species in Date Range ' +
|
||||
str(Date_Slider[0]) +
|
||||
' to ' +
|
||||
str(Date_Slider[1]) +
|
||||
' for ' +
|
||||
str(resample_sel) +
|
||||
' sampling interval.' +
|
||||
'</b>',
|
||||
'Total Detect:' + str('{:,}'.format(df_counts)) +
|
||||
' Confidence Max:' + str('{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
|
||||
' ' + ' Median:' + str('{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100))
|
||||
@@ -145,7 +159,6 @@ if resample_time != '1D':
|
||||
margin=dict(l=0, r=0, t=50, b=0),
|
||||
yaxis={'categoryorder': 'total ascending'})
|
||||
|
||||
|
||||
# Set 360 degrees, 24 hours for polar plot
|
||||
theta = np.linspace(0.0, 360, 24, endpoint=False)
|
||||
|
||||
@@ -154,9 +167,6 @@ if resample_time != '1D':
|
||||
|
||||
detections2 = pd.crosstab(df3, df3.index.hour)
|
||||
|
||||
|
||||
|
||||
|
||||
d = pd.DataFrame(np.zeros((23, 1))).squeeze()
|
||||
detections = hourly.loc[specie]
|
||||
detections = (d + detections).fillna(0)
|
||||
@@ -178,14 +188,13 @@ if resample_time != '1D':
|
||||
direction='clockwise',
|
||||
tickmode='array',
|
||||
tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165, 180, 195, 210, 225, 240, 255, 270, 285, 300, 315, 330, 345],
|
||||
ticktext=['12am','1am','2am','3am','4am','5am', '6am','7am','8am','9am','10am','11am','12pm','1pm','2pm','3pm','4pm','5pm', '6pm','7pm','8pm','9pm','10pm','11pm'],
|
||||
ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am', '10am', '11am',
|
||||
'12pm', '1pm', '2pm', '3pm', '4pm', '5pm', '6pm', '7pm', '8pm', '9pm', '10pm', '11pm'],
|
||||
hoverformat="#%{theta}: <br>Popularity: %{percent} </br> %{r}"
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
|
||||
daily = pd.crosstab(df5, df5.index.date, dropna=False)
|
||||
|
||||
fig.add_trace(go.Bar(x=daily.columns, y=daily.loc[specie]), row=3, col=2)
|
||||
|
||||
+71
-36
@@ -1,3 +1,15 @@
|
||||
import apprise
|
||||
from pathlib import Path
|
||||
from tzlocal import get_localzone
|
||||
import datetime
|
||||
import sqlite3
|
||||
import requests
|
||||
import json
|
||||
import time
|
||||
import math
|
||||
import numpy as np
|
||||
import librosa
|
||||
import operator
|
||||
import socket
|
||||
import threading
|
||||
import os
|
||||
@@ -6,26 +18,9 @@ os.environ['CUDA_VISIBLE_DEVICES'] = ''
|
||||
|
||||
try:
|
||||
import tflite_runtime.interpreter as tflite
|
||||
except:
|
||||
except BaseException:
|
||||
from tensorflow import lite as tflite
|
||||
|
||||
import argparse
|
||||
import operator
|
||||
import librosa
|
||||
import numpy as np
|
||||
import math
|
||||
import time
|
||||
from decimal import Decimal
|
||||
import json
|
||||
import requests
|
||||
import sqlite3
|
||||
import datetime
|
||||
from time import sleep
|
||||
import pytz
|
||||
from tzlocal import get_localzone
|
||||
from pathlib import Path
|
||||
import apprise
|
||||
|
||||
|
||||
HEADER = 64
|
||||
PORT = 5050
|
||||
@@ -37,12 +32,11 @@ DISCONNECT_MESSAGE = "!DISCONNECT"
|
||||
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
|
||||
try:
|
||||
server.bind(ADDR)
|
||||
except:
|
||||
except BaseException:
|
||||
print("Waiting on socket")
|
||||
time.sleep(5)
|
||||
|
||||
|
||||
|
||||
# Open most recent Configuration and grab DB_PWD as a python variable
|
||||
userDir = os.path.expanduser('~')
|
||||
with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
|
||||
@@ -85,6 +79,7 @@ def loadModel():
|
||||
|
||||
return myinterpreter
|
||||
|
||||
|
||||
def loadCustomSpeciesList(path):
|
||||
|
||||
slist = []
|
||||
@@ -95,6 +90,7 @@ def loadCustomSpeciesList(path):
|
||||
|
||||
return slist
|
||||
|
||||
|
||||
def splitSignal(sig, rate, overlap, seconds=3.0, minlen=1.5):
|
||||
|
||||
# Split signal with overlap
|
||||
@@ -116,6 +112,7 @@ def splitSignal(sig, rate, overlap, seconds=3.0, minlen=1.5):
|
||||
|
||||
return sig_splits
|
||||
|
||||
|
||||
def readAudioData(path, overlap, sample_rate=48000):
|
||||
|
||||
print('READING AUDIO DATA...', end=' ', flush=True)
|
||||
@@ -130,6 +127,7 @@ def readAudioData(path, overlap, sample_rate=48000):
|
||||
|
||||
return chunks
|
||||
|
||||
|
||||
def convertMetadata(m):
|
||||
|
||||
# Convert week to cosine
|
||||
@@ -147,9 +145,11 @@ def convertMetadata(m):
|
||||
|
||||
return np.concatenate([m, mask])
|
||||
|
||||
|
||||
def custom_sigmoid(x, sensitivity=1.0):
|
||||
return 1 / (1.0 + np.exp(-sensitivity * x))
|
||||
|
||||
|
||||
def predict(sample, sensitivity):
|
||||
global INTERPRETER
|
||||
# Make a prediction
|
||||
@@ -181,6 +181,7 @@ def predict(sample, sensitivity):
|
||||
|
||||
return p_sorted[:human_cutoff]
|
||||
|
||||
|
||||
def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
|
||||
global INTERPRETER
|
||||
|
||||
@@ -213,7 +214,7 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
|
||||
pred_end = pred_start + 3.0
|
||||
|
||||
# If human detected set all detections to human to make sure voices are not saved
|
||||
if HUMAN_DETECTED == True:
|
||||
if HUMAN_DETECTED is True:
|
||||
p = [('Human_Human', 0.0)] * 10
|
||||
|
||||
detections[str(pred_start) + ';' + str(pred_end)] = p
|
||||
@@ -224,6 +225,7 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
|
||||
# print('DETECTIONS:::::',detections)
|
||||
return detections
|
||||
|
||||
|
||||
def sendAppriseNotifications(species, confidence):
|
||||
if os.path.exists(userDir + '/BirdNET-Pi/apprise.txt') and os.path.getsize(userDir + '/BirdNET-Pi/apprise.txt') > 0:
|
||||
with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
|
||||
@@ -266,10 +268,11 @@ def sendAppriseNotifications(species,confidence):
|
||||
)
|
||||
|
||||
con.close()
|
||||
except:
|
||||
except BaseException:
|
||||
print("Database busy")
|
||||
time.sleep(2)
|
||||
|
||||
|
||||
def writeResultsToFile(detections, min_conf, path):
|
||||
|
||||
print('WRITING RESULTS TO', path, '...', end=' ')
|
||||
@@ -279,12 +282,13 @@ def writeResultsToFile(detections, min_conf, path):
|
||||
for d in detections:
|
||||
for entry in detections[d]:
|
||||
if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0) and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0)):
|
||||
sendAppriseNotifications(str(entry[0]),str(entry[1]));
|
||||
sendAppriseNotifications(str(entry[0]), str(entry[1]))
|
||||
rfile.write(d + ';' + entry[0].replace('_', ';') + ';' + str(entry[1]) + '\n')
|
||||
rcnt += 1
|
||||
print('DONE! WROTE', rcnt, 'RESULTS.')
|
||||
return
|
||||
|
||||
|
||||
def handle_client(conn, addr):
|
||||
global INCLUDE_LIST
|
||||
global EXCLUDE_LIST
|
||||
@@ -315,7 +319,6 @@ def handle_client(conn, addr):
|
||||
args.lat = -1
|
||||
args.lon = -1
|
||||
|
||||
|
||||
for line in msg.split('||'):
|
||||
inputvars = line.split('=')
|
||||
if inputvars[0] == 'i':
|
||||
@@ -341,8 +344,6 @@ def handle_client(conn, addr):
|
||||
elif inputvars[0] == 'lon':
|
||||
args.lon = float(inputvars[1])
|
||||
|
||||
|
||||
|
||||
# Load custom species lists - INCLUDED and EXCLUDED
|
||||
if not args.include_list == 'null':
|
||||
INCLUDE_LIST = loadCustomSpeciesList(args.include_list)
|
||||
@@ -398,13 +399,13 @@ def handle_client(conn, addr):
|
||||
for i in detections:
|
||||
myReturn += str(i) + '-' + str(detections[i][0]) + '\n'
|
||||
|
||||
|
||||
with open(userDir + '/BirdNET-Pi/BirdDB.txt', 'a') as rfile:
|
||||
for d in detections:
|
||||
for entry in detections[d]:
|
||||
if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0) and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0) ):
|
||||
rfile.write(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';' \
|
||||
+ str(entry[1]) +";" + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';' \
|
||||
if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0)
|
||||
and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0)):
|
||||
rfile.write(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';'
|
||||
+ str(entry[1]) + ";" + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';'
|
||||
+ str(args.sensitivity) + ';' + str(args.overlap) + '\n')
|
||||
|
||||
Date = str(current_date)
|
||||
@@ -428,23 +429,55 @@ def handle_client(conn, addr):
|
||||
try:
|
||||
con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
|
||||
cur = con.cursor()
|
||||
cur.execute("INSERT INTO detections VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (Date, Time, Sci_Name, Com_Name, str(score), Lat, Lon, Cutoff, Week, Sens, Overlap, File_Name))
|
||||
cur.execute("INSERT INTO detections VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (Date, Time,
|
||||
Sci_Name, Com_Name, str(score), Lat, Lon, Cutoff, Week, Sens, Overlap, File_Name))
|
||||
|
||||
con.commit()
|
||||
con.close()
|
||||
break
|
||||
except:
|
||||
except BaseException:
|
||||
print("Database busy")
|
||||
time.sleep(2)
|
||||
|
||||
print(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';' + str(entry[1]) + ';' + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';' + str(args.sensitivity) +';' + str(args.overlap) + Com_Name.replace(" ", "_") + '-' + str(score) + '-' + str(current_date) + '-birdnet-' + str(current_time) + audiofmt + '\n')
|
||||
print(str(current_date) +
|
||||
';' +
|
||||
str(current_time) +
|
||||
';' +
|
||||
entry[0].replace('_', ';') +
|
||||
';' +
|
||||
str(entry[1]) +
|
||||
';' +
|
||||
str(args.lat) +
|
||||
';' +
|
||||
str(args.lon) +
|
||||
';' +
|
||||
str(min_conf) +
|
||||
';' +
|
||||
str(week) +
|
||||
';' +
|
||||
str(args.sensitivity) +
|
||||
';' +
|
||||
str(args.overlap) +
|
||||
Com_Name.replace(" ", "_") +
|
||||
'-' +
|
||||
str(score) +
|
||||
'-' +
|
||||
str(current_date) +
|
||||
'-birdnet-' +
|
||||
str(current_time) +
|
||||
audiofmt +
|
||||
'\n')
|
||||
|
||||
if birdweather_id != "99999":
|
||||
try:
|
||||
|
||||
if soundscape_uploaded is False:
|
||||
# POST soundscape to server
|
||||
soundscape_url = "https://app.birdweather.com/api/v1/stations/" + birdweather_id + "/soundscapes" + "?timestamp=" + current_iso8601
|
||||
soundscape_url = 'https://app.birdweather.com/api/v1/stations/' + \
|
||||
birdweather_id + \
|
||||
'/soundscapes' + \
|
||||
'?timestamp=' + \
|
||||
current_iso8601
|
||||
|
||||
with open(args.i, 'rb') as f:
|
||||
wav_data = f.read()
|
||||
@@ -473,11 +506,12 @@ def handle_client(conn, addr):
|
||||
post_confidence = "\"confidence\": " + str(entry[1])
|
||||
post_end = " }"
|
||||
|
||||
post_json = post_begin + post_timestamp + post_lat + post_lon + post_soundscape_id + post_soundscape_start_time + post_soundscape_end_time + post_commonName + post_scientificName + post_algorithm + post_confidence + post_end
|
||||
post_json = post_begin + post_timestamp + post_lat + post_lon + post_soundscape_id + post_soundscape_start_time + \
|
||||
post_soundscape_end_time + post_commonName + post_scientificName + post_algorithm + post_confidence + post_end
|
||||
print(post_json)
|
||||
response = requests.post(detection_url, json=json.loads(post_json))
|
||||
print("Detection POST Response Status - ", response.status_code)
|
||||
except:
|
||||
except BaseException:
|
||||
print("Cannot POST right now")
|
||||
conn.send(myReturn.encode(FORMAT))
|
||||
|
||||
@@ -485,6 +519,7 @@ def handle_client(conn, addr):
|
||||
|
||||
conn.close()
|
||||
|
||||
|
||||
def start():
|
||||
# Load model
|
||||
global INTERPRETER, INCLUDE_LIST, EXCLUDE_LIST
|
||||
|
||||
+37
-5
@@ -5,6 +5,7 @@
|
||||
// before a user gesture. This fixes it.
|
||||
var started = null;
|
||||
var player = null;
|
||||
var gain = 128;
|
||||
const ctx = null;
|
||||
window.onload = function(){
|
||||
// if user agent includes iPhone or Mac use legacy mode
|
||||
@@ -36,13 +37,19 @@ window.onload = function(){
|
||||
document.getElementById('player').remove();
|
||||
|
||||
player = audioelement;
|
||||
} else {
|
||||
player = document.getElementById('player');
|
||||
}
|
||||
player.play();
|
||||
if (started) return;
|
||||
started = true;
|
||||
initialize();
|
||||
} else {
|
||||
player = document.getElementById('player');
|
||||
player.oncanplay = function() {
|
||||
if (started) return;
|
||||
started = true;
|
||||
initialize();
|
||||
};
|
||||
}
|
||||
player.play();
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
@@ -95,7 +102,12 @@ function initialize() {
|
||||
|
||||
ANALYSER.fftSize = 2048;
|
||||
|
||||
|
||||
try{
|
||||
process();
|
||||
} catch(e) {
|
||||
window.top.location.reload();
|
||||
}
|
||||
|
||||
function process() {
|
||||
const SOURCE = ACTX.createMediaElementSource(player);
|
||||
@@ -118,7 +130,7 @@ function initialize() {
|
||||
CTX.putImageData(imgData, 0, 0);
|
||||
ANALYSER.getByteFrequencyData(DATA);
|
||||
for (let i = 0; i < LEN; i++) {
|
||||
let rat = DATA[i] / 128 ;
|
||||
let rat = DATA[i] / gain ;
|
||||
let hue = Math.round((rat * 120) + 280 % 360);
|
||||
let sat = '100%';
|
||||
let lit = 10 + (70 * rat) + '%';
|
||||
@@ -155,6 +167,26 @@ h1 {
|
||||
|
||||
<img id="spectrogramimage" style="width:100%;height:100%;display:none" src="/spectrogram.png?nocache=<?php echo $time;?>">
|
||||
|
||||
<div id="gain" class="centered">
|
||||
<label>Gain: </label>
|
||||
<span class="slidecontainer">
|
||||
<input name="gain_input" type="range" min="0" max="255" value="128" class="slider" id="gain_input">
|
||||
<span id="gain_value"></span>%
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<audio style="display:none" controls="" crossorigin="anonymous" id='player' preload="none"><source src="/stream"></audio>
|
||||
<h1>Loading...</h1>
|
||||
<canvas></canvas>
|
||||
|
||||
<script>
|
||||
var slider = document.getElementById("gain_input");
|
||||
var output = document.getElementById("gain_value");
|
||||
output.innerHTML = slider.value; // Display the default slider value
|
||||
|
||||
// Update the current slider value (each time you drag the slider handle)
|
||||
slider.oninput = function() {
|
||||
output.innerHTML = this.value;
|
||||
gain=Math.abs(this.value - 255);
|
||||
}
|
||||
</script>
|
||||
Reference in New Issue
Block a user