mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-07-26 13:47:03 +02:00
Cleanup bird classification (#17146)
* Cleanup bird classification * Cleanup
This commit is contained in:
parent
759d963a04
commit
fbd22c8124
@ -781,14 +781,14 @@ def event_snapshot(
|
||||
height=params.height,
|
||||
quality=params.quality,
|
||||
)
|
||||
except Exception as e:
|
||||
except Exception:
|
||||
return JSONResponse(
|
||||
content={"success": False, "message": f"Ongoing event not found: {e}"},
|
||||
content={"success": False, "message": "Ongoing event not found"},
|
||||
status_code=404,
|
||||
)
|
||||
except Exception as e:
|
||||
except Exception:
|
||||
return JSONResponse(
|
||||
content={"success": False, "message": f"Unknown error occurred: {e}"},
|
||||
content={"success": False, "message": "Unknown error occurred"},
|
||||
status_code=404,
|
||||
)
|
||||
|
||||
|
@ -115,10 +115,10 @@ class BirdRealTimeProcessor(RealTimeProcessorApi):
|
||||
x:x2,
|
||||
]
|
||||
|
||||
cv2.imwrite("/media/frigate/test_class.png", input)
|
||||
if input.shape != (224, 224):
|
||||
input = cv2.resize(input, (224, 224))
|
||||
|
||||
input = np.expand_dims(input, axis=0)
|
||||
|
||||
self.interpreter.set_tensor(self.tensor_input_details[0]["index"], input)
|
||||
self.interpreter.invoke()
|
||||
res: np.ndarray = self.interpreter.get_tensor(
|
||||
|
Loading…
Reference in New Issue
Block a user