Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2025-05-17 01:16:06 +02:00
Code Issues Projects Releases Wiki Activity

Make note of multi-model on GPU support (#13813)

Browse Source 
* Make note of multi-gpu support

* fix typo
This commit is contained in:
Nicolas Mowen 2024-09-18 12:05:27 -06:00 committed by GitHub
parent e44a9e8921
commit 5e0d8fe4c7
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 31 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
docs/docs/configuration/object_detectors.md
View File

@ -140,6 +140,22 @@ The OpenVINO device to be used is specified using the `"device"` attribute accor
OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. It will also run on AMD CPUs despite having no official support for it. A supported Intel platform is required to use the `GPU` device with OpenVINO. For detailed system requirements, see [OpenVINO System Requirements](https://docs.openvino.ai/2024/about-openvino/release-notes-openvino/system-requirements.html) OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. It will also run on AMD CPUs despite having no official support for it. A supported Intel platform is required to use the `GPU` device with OpenVINO. For detailed system requirements, see [OpenVINO System Requirements](https://docs.openvino.ai/2024/about-openvino/release-notes-openvino/system-requirements.html)
:::tip
When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming GPU resources are available. An example configuration would be:
```yaml
detectors:
ov_0:
type: openvino
device: GPU
ov_1:
type: openvino
device: GPU
```
:::
### Supported Models ### Supported Models
#### SSDLite MobileNet v2 #### SSDLite MobileNet v2
@ -298,7 +314,21 @@ model:
## ONNX ## ONNX
ONNX is an open format for building machine learning models, these models can run on a wide variety of hardware. Frigate supports running ONNX models on CPU, OpenVINO, and TensorRT. ONNX is an open format for building machine learning models, Frigate supports running ONNX models on CPU, OpenVINO, and TensorRT. On startup Frigate will automatically try to use a GPU if one is available.
:::tip
When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming GPU resources are available. An example configuration would be:
```yaml
detectors:
onnx_0:
type: onnx
onnx_1:
type: onnx
```
:::
### Supported Models ### Supported Models