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update version info

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MarcA711 2024-05-24 09:49:05 +00:00
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docs/docs/configuration/hardware_acceleration.md
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@ -362,7 +362,7 @@ that NVDEC/NVDEC1 are in use.
## Rockchip platform ## Rockchip platform
Hardware accelerated video de-/encoding is supported on all Rockchip SoCs using [Nyanmisaka's FFmpeg Fork](https://github.com/nyanmisaka/ffmpeg-rockchip) based on [Rockchip's mpp library](https://github.com/rockchip-linux/mpp). Hardware accelerated video de-/encoding is supported on all Rockchip SoCs using [Nyanmisaka's FFmpeg 6.1 Fork](https://github.com/nyanmisaka/ffmpeg-rockchip) based on [Rockchip's mpp library](https://github.com/rockchip-linux/mpp).
### Prerequisites ### Prerequisites

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docs/docs/configuration/object_detectors.md
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@ -313,7 +313,7 @@ Hardware accelerated object detection is supported on the following SoCs:
- RK3576 - RK3576
- RK3588 - RK3588
This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/). Currently, only [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) is supported as object detection model. This implementation uses the [Rockchip's RKNN-Toolkit2](https://github.com/airockchip/rknn-toolkit2/), version v2.0.0.beta0. Currently, only [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md) is supported as object detection model.
### Prerequisites ### Prerequisites