Rock 5 image

A Rock 5 image with OpenCV, ncnn, TNN and NPU

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Installation.

• Get a 32 GB (minimal) SD card holding the image.
• Download the RockPi5.img.xz image (2.8 GByte) from our Sync site.
• Flash the image on the SD card with the Imager or balenaEtcher.
• Insert the SD card in your Rock 5 and enjoy.
• Username: rock
• no password

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Model performance benchmark(FPS)

All models, with C++ examples, can be found on the SD image.

demo	model_name	inputs_shape	dtype	Rock 5
yolov5	yolov5s_relu	[1, 3, 640, 640]	INT8	50.0
	yolov5n	[1, 3, 640, 640]	INT8	58.8
	yolov5s	[1, 3, 640, 640]	INT8	37.7
	yolov5m	[1, 3, 640, 640]	INT8	16.2
yolov6	yolov6n	[1, 3, 640, 640]	INT8	63.0
	yolov6s	[1, 3, 640, 640]	INT8	29.5
	yolov6m	[1, 3, 640, 640]	INT8	15.4
yolov7	yolov7-tiny	[1, 3, 640, 640]	INT8	53.4
	yolov7	[1, 3, 640, 640]	INT8	9.4
yolov8	yolov8n	[1, 3, 640, 640]	INT8	53.1
	yolov8s	[1, 3, 640, 640]	INT8	28.5
	yolov8m	[1, 3, 640, 640]	INT8	12.1
yolox	yolox_s	[1, 3, 640, 640]	INT8	30.0
	yolox_m	[1, 3, 640, 640]	INT8	12.9
ppyoloe	ppyoloe_s	[1, 3, 640, 640]	INT8	28.8
	ppyoloe_m	[1, 3, 640, 640]	INT8	13.1
yolov5_seg	yolov5n-seg	[1, 3, 640, 640]	INT8	9.4
	yolov5s-seg	[1, 3, 640, 640]	INT8	7.8
	yolov5m-seg	[1, 3, 640, 640]	INT8	6.1
yolov8_seg	yolov8n-seg	[1, 3, 640, 640]	INT8	8.9
	yolov8s-seg	[1, 3, 640, 640]	INT8	7.3
	yolov8m-seg	[1, 3, 640, 640]	INT8	4.5
ppseg	ppseg_lite_1024x512	[1, 3, 512, 512]	INT8	27.5
RetinaFace	RetinaFace_mobile320	[1, 3, 320, 320]	INT8	243.6
	RetinaFace_resnet50_320	[1, 3, 320, 320]	INT8	43.4
PPOCR-Det	ppocrv4_det	[1, 3, 480, 480]	INT8	31.5
PPOCR-Rec	ppocrv4_rec	[1, 3, 48, 320]	FP16	35.7

• Due to the pixel-wise filling and drawing, segmentation models are relatively slow

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Tips.

• If you need extra space delete the opencv and the opencv_contrib folder from the SD card. They are no longer needed since all libraries are stored in the /usr/ directory.
• Use a tool like GParted sudo apt-get install gparted to expand the image to larger SD cards. We recommend a minimum of 64 GB. Deep learning requires a lot of space.
  
• An example of YoloV5 running on the NPU (25 FPS) is included.

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Pre-installed frameworks.

• OpenCV 4.9.0
• ncnn 20240410
• NPU rknpu2 1.5.2
• NPU model zoo 2.0.0
• NPU model zoo models 2.0.0
• TeamViewer aarch64 15.24.5

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Thanks.

A more than special thanks to Stuart Naylor, who, ever so kindly, provided us the Rock Pi 5 for free.

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