diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md index 7519f8e8f..99b9e1f35 100644 --- a/docs/docs/configuration/object_detectors.md +++ b/docs/docs/configuration/object_detectors.md @@ -1022,12 +1022,12 @@ detectors: ### ONNX Supported Models -| Model | Nvidia GPU | AMD GPU | Notes | -| ----------------------------- | ---------- | ------- | --------------------------------------------------- | -| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | -| [RF-DETR](#rf-detr) | ✅ | ❌ | Supports CUDA Graphs for optimal Nvidia performance | -| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs | -| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | +| Model | Nvidia GPU | AMD GPU | Notes | +| ------------------------------------ | ---------- | ------- | --------------------------------------------------- | +| [YOLOv9](#yolo-v3-v4-v7-v9-2) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | +| [RF-DETR](#rf-detr) | ✅ | ⚠️ | Supports CUDA Graphs for optimal Nvidia performance | +| [YOLO-NAS](#yolo-nas-1) | ⚠️ | ⚠️ | Not supported by CUDA Graphs | +| [YOLOX](#yolox-1) | ✅ | ✅ | Supports CUDA Graphs for optimal Nvidia performance | | [D-FINE / DEIMv2](#d-fine--deimv2-1) | ⚠️ | ❌ | Not supported by CUDA Graphs | There is no default model provided, the following formats are supported: diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index 3c56439a0..205db3445 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -223,11 +223,11 @@ Apple Silicon can not run within a container, so a ZMQ proxy is utilized to comm With the [ROCm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs. -| Name | YOLOv9 Inference Time | YOLO-NAS Inference Time | -| -------------- | --------------------------- | ------------------------- | -| AMD 780M | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms | -| AMD 8700G | | 320: ~ 20 ms 640: ~ 40 ms | -| AMD 9060XT 16G | t-320: ~ 5 ms s-320: 7 ms | 320: ~ 6 ms | +| Name | YOLOv9 Inference Time | YOLO-NAS Inference Time | RF-DETR Inference Time | +| -------------- | --------------------------- | ------------------------- | ---------------------- | +| AMD 780M | t-320: ~ 14 ms s-320: 20 ms | 320: ~ 25 ms 640: ~ 50 ms | | +| AMD 8700G | | 320: ~ 20 ms 640: ~ 40 ms | | +| AMD 9060XT 16G | t-320: ~ 5 ms s-320: 7 ms | 320: ~ 6 ms | Nano-320: ~ 90 ms | ## Community Supported Detectors