9 lines
2.9 KiB
JSON
9 lines
2.9 KiB
JSON
{
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"crossCompiled": true,
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"deviceVerified": true,
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"status": "verified-on-rk3588",
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"architecture": "aarch64",
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"deviceKernel": "5.10.209",
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"verifiedAt": "2026-07-24T15:23:32.5769241+00:00",
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"details": "SDK_VERIFY_ARCH=aarch64\nSDK_VERIFY_KERNEL=5.10.209\nrknn sdk version: 2.3.2 (429f97ae6b@2025-04-09T09:09:27), driver version: 0.9.8\nmodel input num: 1, output num: 1\ninput tensors:\n index=0, name=images, n_dims=4, dims=[1, 640, 640, 3], n_elems=1228800, size=2457600, w_stride=640, size_with_stride=2457600, fmt=NHWC, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000\noutput tensors:\n index=0, name=output0, n_dims=3, dims=[1, 84, 8400, 0], n_elems=705600, size=1411200, w_stride=0, size_with_stride=1411200, fmt=UNDEFINED, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000\nmodel is NHWC input fmt\nmodel input height=640, width=640, channel=3\npreprocess identity RGB copy\npreprocess time=14.04ms\nrknn_run\nrknn_run time=32.86ms, FPS = 30.43\nsingle-output detect adapter: channels=84 classes=80 positions=8400 layout=NCP\nsingle-output score mode: probability\npost_process time=2.58ms\ntask=0 results=5 preprocess=14.036ms inference=32.863ms postprocess=2.581ms total=52.124ms\n[0] class=0 label=person score=0.883789 angle=0.000000\n[1] class=0 label=person score=0.879395 angle=0.000000\n[2] class=0 label=person score=0.873535 angle=0.000000\n[3] class=5 label=bus score=0.849609 angle=0.000000\n[4] class=0 label=person score=0.329834 angle=0.000000\nC example result: /home/linaro/rk3588-ai/sdk-verification/20260724152330562/yolov8n_person_detection_1.0.0_delivery_rk3588_UNVERIFIED/result-c.json\nrknn sdk version: 2.3.2 (429f97ae6b@2025-04-09T09:09:27), driver version: 0.9.8\nmodel input num: 1, output num: 1\ninput tensors:\n index=0, name=images, n_dims=4, dims=[1, 640, 640, 3], n_elems=1228800, size=2457600, w_stride=640, size_with_stride=2457600, fmt=NHWC, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000\noutput tensors:\n index=0, name=output0, n_dims=3, dims=[1, 84, 8400, 0], n_elems=705600, size=1411200, w_stride=0, size_with_stride=1411200, fmt=UNDEFINED, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000\nmodel is NHWC input fmt\nmodel input height=640, width=640, channel=3\npreprocess identity RGB copy\npreprocess time=13.99ms\nrknn_run\nrknn_run time=32.85ms, FPS = 30.44\nsingle-output detect adapter: channels=84 classes=80 positions=8400 layout=NCP\nsingle-output score mode: probability\npost_process time=2.28ms\nresults=5 preprocess=13.993ms inference=32.852ms postprocess=2.277ms total=51.7331ms\n[0] class=0 label=person score=0.883789 angle=0\n[1] class=0 label=person score=0.879395 angle=0\n[2] class=0 label=person score=0.873535 angle=0\n[3] class=5 label=bus score=0.849609 angle=0\n[4] class=0 label=person score=0.329834 angle=0\nC\u002B\u002B example result: /home/linaro/rk3588-ai/sdk-verification/20260724152330562/yolov8n_person_detection_1.0.0_delivery_rk3588_UNVERIFIED/result-cpp.json\nSDK_VERIFY_COMPLETE=1\n"
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} |