From 730416418d195a9113cc1dac862e6ee48b7cea31 Mon Sep 17 00:00:00 2001 From: Daniel Asztalos Date: Wed, 14 Jun 2023 00:34:14 +0200 Subject: [PATCH] Typo fixed in hardware.md (#6788) --- docs/docs/frigate/hardware.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index acbd2c7fd..fea92a422 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -31,7 +31,7 @@ My current favorite is the Minisforum GK41 because of the dual NICs that allow y ## Detectors -A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the epectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance. +A detector is a device which is optimized for running inferences efficiently to detect objects. Using a recommended detector means there will be less latency between detections and more detections can be run per second. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. As of 0.12, Frigate supports a handful of different detector types with varying inference speeds and performance. ### Google Coral TPU