Greetings,
I recently installed Home Assistant OS on a Raspberry Pi5 with a Hailo 8 NPU and have been loving it. Many thanks to those who’ve helped with its development.
I also just added Frigate (thus the inclusion of the Hailo) and have a question about teaching the system to recognise birds - specifically, Little Blue Penguins. I installed a couple of cameras to spy on the ones that are nesting under my house. Last night, the pair came back from a few months at sea and I was thrilled to see that Frigate caught their return. Alas, it labeled them all as “cats” or “people”.
My Frigate configuration is shown below - suggestions are most welcome!
# Full Frigate documentation: https://docs.frigate.video/configuration/reference/
mqtt:
enabled: true
host: URL path # 127.0.0.1
user: name # USER
password: pass # PASSWORD
cameras:
crawlspace:
enabled: true
ffmpeg:
output_args:
record: preset-record-generic-audio-aac
inputs:
- path: rtsp://USER:[email protected]:554/stream1?audio&video
roles:
- record
- audio
- path: rtsp://USER:[email protected]:554/stream2?audio&video
roles:
- detect
detect:
width: 640
height: 480
live:
streams:
Stream 1: crawlspace
motion:
threshold: 10
contour_area: 10
improve_contrast: true
walkway:
enabled: true
ffmpeg:
output_args:
record: preset-record-generic-audio-aac
inputs:
- path: rtsp://USER:[email protected]:554/stream1?audio&video
roles:
- record
- audio
- path: rtsp://USER:[email protected]:554/stream2?audio&video
roles:
- detect
detect:
width: 640
height: 480
live:
streams:
Stream 1: walkway
motion:
threshold: 10
contour_area: 10
improve_contrast: true
detectors:
hailo8l: # Always 8l, even in case of 8
type: hailo8l # Always 8l, even in case of 8
device: PCIe
detect:
enabled: true
width: 640
height: 480
fps: 5
objects:
track: # List of objects to track from model's labelmap. Since model is Yolo, then: https://docs.ultralytics.com/datasets/detect/coco/#dataset-yaml
- person
- bird
- cat
filters: # Optional: filters to reduce false positives for specific object types
person:
min_area: 5000
max_area: 100000
min_score: 0.4
threshold: 0.7
record: # Optional: Enable recording
enabled: true
detections:
pre_capture: 5
post_capture: 5
retain:
days: 10
mode: active_objects
snapshots: # Optional: Configuration for the jpg snapshots written to the clips directory for each tracked object
enabled: true
timestamp: true
bounding_box: true
crop: false
retain:
default: 1
objects:
person: 1
bird: 1
cat: 1
logger:
default: info
logs:
frigate.object_detection: debug
frigate.motion: debug
detector.hailo8l: debug
version: 0.17-0
go2rtc:
streams:
crawlspace:
- rtsp://USER:[email protected]:554/stream1?audio&video
- ffmpeg:crawlspace#audio=aac
walkway:
- rtsp://USER:[email protected]:554/stream1?audio&video
- ffmpeg:walkway#audio=aac
face_recognition:
enabled: false
model_size: small
lpr:
enabled: false
classification:
bird:
enabled: true