administrator/frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2026-07-24 12:49:01 +03:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

Miscellaneous fixes (0.17 beta) (#21867)
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
CI / AMD64 Build (push) Waiting to run
Details

Browse Source 
* Adjust title prompt to have less rigidity

* Improve motion boxes handling for features that don't require motion

* Improve handling of classes starting with digits

* Improve vehicle nuance

* tweak lpr docs

* Improve grammar

* Don't allow # in face name

* add password requirements to new user dialog

* change password requirements

* Clenaup

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen
2026-02-03 08:31:00 -06:00
committed by GitHub
co-authored by Josh Hawkins
parent e4fe021279
commit 2d83992284
17 changed files with 256 additions and 145 deletions
Download Patch File Download Diff File Expand all files Collapse all files
frigate/data_processing/real_time/custom_classification.py
+2 -2
View File
@@ -97,7 +97,7 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
self.interpreter.allocate_tensors()
self.tensor_input_details = self.interpreter.get_input_details()
self.tensor_output_details = self.interpreter.get_output_details()
self.labelmap = load_labels(labelmap_path, prefill=0)
self.labelmap = load_labels(labelmap_path, prefill=0, indexed=False)
self.classifications_per_second.start()
def __update_metrics(self, duration: float) -> None:
@@ -398,7 +398,7 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
self.interpreter.allocate_tensors()
self.tensor_input_details = self.interpreter.get_input_details()
self.tensor_output_details = self.interpreter.get_output_details()
self.labelmap = load_labels(labelmap_path, prefill=0)
self.labelmap = load_labels(labelmap_path, prefill=0, indexed=False)
def __update_metrics(self, duration: float) -> None:
self.classifications_per_second.update()