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标题: X3588. fastdeploy 编译OK，运行是提示 failed to open rknpu module [打印本页]
作者: dengshaolin    时间: 2023-10-10 18:59
标题: X3588. fastdeploy 编译OK，运行是提示 failed to open rknpu module
  1. <blockquote><blockquote>No LSB modules are available.
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RK3588/test_demo/pp_yolo/build# make -j8                     
Scanning dependencies of target infer_ppyoloe_demo
Scanning dependencies of target infer_yolov8_demo
[ 50%] Building CXX object CMakeFiles/infer_yolov8_demo.dir/infer_yolov8.cc.o
[ 50%] Building CXX object CMakeFiles/infer_ppyoloe_demo.dir/infer_ppyoloe.cc.o
[ 75%] Linking CXX executable infer_yolov8_demo
[100%] Linking CXX executable infer_ppyoloe_demo
[100%] Built target infer_yolov8_demo
[100%] Built target infer_ppyoloe_demo


编译正常
但是运行时 错误
  1. /yolov8_n_500e_coco/000000014439.jpg 1                        
  2. [INFO] fastdeploy/vision/common/processors/transform.cc(45)::FuseNormalizeCast        Normalize and Cast are fused to Normalize in preprocessing pipeline.
  3. [INFO] fastdeploy/vision/common/processors/transform.cc(93)::FuseNormalizeHWC2CHW        Normalize and HWC2CHW are fused to NormalizeAndPermute  in preprocessing pipeline.
  4. [INFO] fastdeploy/vision/common/processors/transform.cc(159)::FuseNormalizeColorConvert        BGR2RGB and NormalizeAndPermute are fused to NormalizeAndPermute with swap_rb=1
  5. E RKNN: [10:32:16.099] failed to open rknpu module, need to insmod rknpu dirver!
  6. E RKNN: [10:32:16.099] failed to open rknn device!
  7. [ERROR] fastdeploy/runtime/backends/rknpu2/rknpu2_backend.cc(146)::LoadModel        rknn_init fail! ret=-1
  8. [ERROR] fastdeploy/runtime/backends/rknpu2/rknpu2_backend.cc(89)::InitFromRKNN        load model failed
  9. [ERROR] fastdeploy/runtime/runtime.cc(432)::CreateRKNPU2Backend        Load model from nb file failed while initializing LiteBackend.
  10. Aborted
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作者: dengshaolin    时间: 2023-10-10 20:10
重新更换 固件OK  
  1. [INFO] fastdeploy/vision/common/processors/transform.cc(45)::FuseNormalizeCast        Normalize and Cast are fused to Normalize in preprocessing pipeline.
  2. [INFO] fastdeploy/vision/common/processors/transform.cc(93)::FuseNormalizeHWC2CHW        Normalize and HWC2CHW are fused to NormalizeAndPermute  in preprocessing pipeline.
  3. [INFO] fastdeploy/vision/common/processors/transform.cc(159)::FuseNormalizeColorConvert        BGR2RGB and NormalizeAndPermute are fused to NormalizeAndPermute with swap_rb=1
  4. [INFO] fastdeploy/runtime/backends/rknpu2/rknpu2_backend.cc(57)::GetSDKAndDeviceVersion        rknn_api/rknnrt version: 1.4.1b22 (e8b31839e@2023-02-02T08:52:53), driver version: 0.7.2
  5. index=0, name=image, n_dims=4, dims=[1, 640, 640, 3], n_elems=1228800, size=2457600, fmt=NHWC, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000, pass_through=0
  6. index=0, name=p2o.Mul.117, n_dims=4, dims=[1, 8400, 4, 1], n_elems=33600, size=67200, fmt=NCHW, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000, pass_through=0
  7. index=1, name=p2o.Concat.43, n_dims=4, dims=[1, 80, 8400, 1], n_elems=672000, size=1344000, fmt=NCHW, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000, pass_through=0
  8. [INFO] fastdeploy/runtime/runtime.cc(438)::CreateRKNPU2Backend        Runtime initialized with Backend::RKNPU2 in Device::RKNPU.
  9. [INFO] fastdeploy/vision/common/processors/transform.cc(159)::FuseNormalizeColorConvert        BGR2RGB and Normalize are fused to Normalize with swap_rb=1
  10. [WARNING] fastdeploy/runtime/backends/rknpu2/rknpu2_backend.cc(315)::Infer        The input tensor type != model's inputs type.The input_type need FP16,but inputs[0].type is UINT8
  11. [FastDeploy] PPDet in RKNPU2 duration = 0.127267s.
  12. DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]
  13. 504.750000,112.812500, 597.000000, 277.000000, 0.882324, 0
  14. 414.250000,89.187500, 506.000000, 286.000000, 0.828613, 0
  15. 104.937500,45.718750, 127.250000, 93.375000, 0.827148, 0
  16. 162.500000,82.812500, 199.250000, 167.125000, 0.763184, 0
  17. 268.000000,80.875000, 299.250000, 169.625000, 0.754883, 0
  18. 328.500000,39.937500, 346.500000, 80.437500, 0.707520, 0
  19. 364.500000,61.000000, 382.250000, 114.125000, 0.619629, 0
  20. 380.000000,41.000000, 395.000000, 84.250000, 0.612305, 0
  21. 352.750000,44.843750, 368.250000, 98.000000, 0.547852, 0
  22. 581.500000,112.875000, 613.000000, 199.125000, 0.486816, 0
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