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Cleanup docs

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Nicolas Mowen 2025-01-07 15:28:30 -07:00
parent 3ded902aa6
commit 9ee31a2446
3 changed files with 7 additions and 8 deletions
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3
docs/docs/configuration/index.md
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@ -203,14 +203,13 @@ detectors:
ov: ov:
type: openvino type: openvino
device: AUTO device: AUTO
model:
path: /openvino-model/ssdlite_mobilenet_v2.xml
model: model:
width: 300 width: 300
height: 300 height: 300
input_tensor: nhwc input_tensor: nhwc
input_pixel_format: bgr input_pixel_format: bgr
path: /openvino-model/ssdlite_mobilenet_v2.xml
labelmap_path: /openvino-model/coco_91cl_bkgr.txt labelmap_path: /openvino-model/coco_91cl_bkgr.txt
record: record:

10
docs/docs/configuration/object_detectors.md
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@ -144,7 +144,7 @@ detectors:
#### SSDLite MobileNet v2 #### SSDLite MobileNet v2
An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model.
Use the model configuration shown below when using the OpenVINO detector with the default OpenVINO model: Use the model configuration shown below when using the OpenVINO detector with the default OpenVINO model:
@ -506,11 +506,12 @@ detectors:
cpu1: cpu1:
type: cpu type: cpu
num_threads: 3 num_threads: 3
model:
path: "/custom_model.tflite"
cpu2: cpu2:
type: cpu type: cpu
num_threads: 3 num_threads: 3
model:
path: "/custom_model.tflite"
``` ```
When using CPU detectors, you can add one CPU detector per camera. Adding more detectors than the number of cameras should not improve performance. When using CPU detectors, you can add one CPU detector per camera. Adding more detectors than the number of cameras should not improve performance.
@ -637,8 +638,6 @@ detectors:
hailo8l: hailo8l:
type: hailo8l type: hailo8l
device: PCIe device: PCIe
model:
path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
model: model:
width: 300 width: 300
@ -646,4 +645,5 @@ model:
input_tensor: nhwc input_tensor: nhwc
input_pixel_format: bgr input_pixel_format: bgr
model_type: ssd model_type: ssd
path: /config/model_cache/h8l_cache/ssd_mobilenet_v1.hef
``` ```

2
docs/docs/configuration/reference.md
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@ -52,7 +52,7 @@ detectors:
# Required: name of the detector # Required: name of the detector
detector_name: detector_name:
# Required: type of the detector # Required: type of the detector
# Frigate provided types include 'cpu', 'edgetpu', 'openvino' and 'tensorrt' (default: shown below) # Frigate provides many types, see https://docs.frigate.video/configuration/object_detectors for more details (default: shown below)
# Additional detector types can also be plugged in. # Additional detector types can also be plugged in.
# Detectors may require additional configuration. # Detectors may require additional configuration.
# Refer to the Detectors configuration page for more information. # Refer to the Detectors configuration page for more information.