administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-07-27 22:29:02 +03:00
Code Issues Actions 3 Packages Projects Releases Wiki Activity

Various fixes (#20774)
CI / AMD64 Build (push) Waiting to run
Details
CI / ARM Build (push) Waiting to run
Details
CI / Jetson Jetpack 6 (push) Waiting to run
Details
CI / AMD64 Extra Build (push) Blocked by required conditions
Details
CI / ARM Extra Build (push) Blocked by required conditions
Details
CI / Synaptics Build (push) Blocked by required conditions
Details
CI / Assemble and push default build (push) Blocked by required conditions
Details

Browse Source 
* Change order of deletion

* Add debug log for camera enabled

* Add more face debug logs

* Set jetson numpy version
This commit is contained in:
Nicolas Mowen
2025-11-03 10:05:03 -06:00
committed by GitHub
parent 59963fc47e
commit 5529432856
4 changed files with 10 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
frigate/data_processing/real_time/face.py
+6 -1
View File
@@ -166,6 +166,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
camera = obj_data["camera"]
if not self.config.cameras[camera].face_recognition.enabled:
logger.debug(f"Face recognition disabled for camera {camera}, skipping")
return
start = datetime.datetime.now().timestamp()
@@ -208,6 +209,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
person_box = obj_data.get("box")
if not person_box:
logger.debug(f"No person box available for {id}")
return
rgb = cv2.cvtColor(frame, cv2.COLOR_YUV2RGB_I420)
@@ -233,7 +235,8 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
try:
face_frame = cv2.cvtColor(face_frame, cv2.COLOR_RGB2BGR)
except Exception:
except Exception as e:
logger.debug(f"Failed to convert face frame color for {id}: {e}")
return
else:
# don't run for object without attributes
@@ -251,6 +254,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
# no faces detected in this frame
if not face:
logger.debug(f"No face attributes found for {id}")
return
face_box = face.get("box")
@@ -274,6 +278,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
res = self.recognizer.classify(face_frame)
if not res:
logger.debug(f"Face recognizer returned no result for {id}")
self.__update_metrics(datetime.datetime.now().timestamp() - start)
return