diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index 230c6c3cb..540a9b0e9 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -281,7 +281,7 @@ detectors: | ------------------------------------- | --- | --- | ------------------------------------------------------------ | | [YOLOv9](#yolo-v3-v4-v7-v9) | ✅ | ✅ | Recommended for GPU & NPU | | [RF-DETR](#rf-detr) | ✅ | ✅ | Requires XE iGPU or Arc | -| [YOLO-NAS](#yolo-nas) | ✅ | ⚠️ | YOLO-NAS only works on NPU in non-flat format | +| [YOLO-NAS](#yolo-nas) | ✅ | ✅ | | | [MobileNet v2](#ssdlite-mobilenet-v2) | ✅ | ✅ | Fast and lightweight model, less accurate than larger models | | [YOLOX](#yolox) | ✅ | ? | | | [D-FINE](#d-fine) | ❌ | ❌ | | @@ -429,7 +429,7 @@ Currently D-FINE models only run on OpenVINO in CPU mode, GPUs currently fail to :::
- YOLO-NAS Setup & Config + D-FINE Setup & Config After placing the downloaded onnx model in your config/model_cache folder, you can use the following configuration: @@ -445,7 +445,7 @@ model: height: 640 input_tensor: nchw input_dtype: float - path: /config/model_cache/dfine_s_obj2coco.onnx + path: /config/model_cache/dfine-s.onnx labelmap_path: /labelmap/coco-80.txt ``` diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index 95fc488b0..f6f647ec8 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -167,8 +167,8 @@ Inference speeds vary greatly depending on the CPU or GPU used, some known examp | Intel UHD 770 | ~ 15 ms | t-320: ~ 16 ms s-320: ~ 20 ms s-640: ~ 40 ms | 320: ~ 20 ms 640: ~ 46 ms | | | | Intel N100 | ~ 15 ms | s-320: 30 ms | 320: ~ 25 ms | | Can only run one detector instance | | Intel N150 | ~ 15 ms | t-320: 16 ms s-320: 24 ms | | | | -| Intel Iris XE | ~ 10 ms | s-320: 8 ms s-640: 30 ms | 320: ~ 18 ms 640: ~ 50 ms | 320-n: 33 ms | | -| Intel NPU | ~ 6 ms | s-320: 11 ms | | 320-n: 40 ms | | +| Intel Iris XE | ~ 10 ms | t-320: 6 ms t-640: 14 ms s-320: 8 ms s-640: 16 ms | 320: ~ 10 ms 640: ~ 20 ms | 320-n: 33 ms | | +| Intel NPU | ~ 6 ms | s-320: 11 ms | 320: ~ 14 ms 640: ~ 34 ms | 320-n: 40 ms | | | Intel Arc A310 | ~ 5 ms | t-320: 7 ms t-640: 11 ms s-320: 8 ms s-640: 15 ms | 320: ~ 8 ms 640: ~ 14 ms | | | | Intel Arc A380 | ~ 6 ms | | 320: ~ 10 ms 640: ~ 22 ms | 336: 20 ms 448: 27 ms | | | Intel Arc A750 | ~ 4 ms | | 320: ~ 8 ms | | |