V851se+yolov5 识别不出 求助

[jaying]

 ./CAMERA_MONITOR network_binary.nb output640.jp
g
 main 313 可用内存: 35.39 MB
[main][342]: LV0 ========== img.cols 640 img.rows 640
 main 344 可用内存:[  116.520807] npu[38c][38c] vipcore, device init..
 34.13 MB
[0xb6d7d010]vip_[  116.528464] set_vip_power_clk ON
init[121],
The version of Vipl[  116.536865] enter aw vip mem alloc size 8388608
ite is: 1.8.0-0-AW-2023-02-24
[  116.549302] aw_vip_mem_alloc vir 0xc4ab0000, phy 0x48500000
[  116.555838] npu[38c][38c] gckvip_drv_init  kernel logical phy address=0x48500000  virtual =0xc4ab0000
[main][349]: LV255 Initialize  vip lite success
 main 350 可用内存: 26.05 MB
[main][354]: LV255 Initialize network items success
 main 355 可用内存: 26.05 MB
Create Neural Network: 140.53ms [  116.709494] enter aw vip mem alloc size 9012480
or 140527.20us
[main][360]: LV255 Create the neural network success
 main 36[  116.724114] aw_vip_mem_alloc vir 0xc52b5000, phy 0x48d00000
1 可用内存: 17.72 MB
[vnn_PreProcessNeuralNetwork][161]: LV0  Create input/output buffers
[vnn_CreateInOutBufPrepareNetwork][88]: LV0 network_items->input_count 1
[vnn_PreProcessNeuralNetwork][165]: LV0  Set input/output buffers
[vnn_SetNetworkInOut][203]: LV0  network_items->input_count 1
[vnn_SetNetworkInOut][210]: LV0 file_name output640.jpg
[vnn_PreProcessNeuralNetwork][169]: LV0  Set input/output buffers end
[main][366]: LV255 Pre process the input/output data success
 main 367 可用内存: 8.92 MB
Start run graph [1] times...
Run the 1 time: 191.40ms or 191395.75us
vip run network execution time:
Total   191.51ms or 191513.80us
Average 191.51ms or 191513.80us
[main][372]: LV255 Run the neural network success
 main 373 可用内存: 8.92 MB
 save_output_data 607 可用内存: 8.92 MB
[save_output_data][609]: LV0 network_items->output_count 3
[save_output_data][621]: LV0  buf_param.data_format 2
[save_output_data][625]: LV0   buf_param.num_of_dims 5
[save_output_data][637]: LV0  *quant_data.affine.scale 293921
data_format=2 buff_size=115200
[  117.145345] aw_vip_mem_free vir 0xc52b5000, phy 0x48d00000
[save_output_data][621]: LV[  117.153191] aw_vip_mem_free dma_unmap_sg_atrs
0  buf_param.data_format 2
[  117.160691] aw_vip_mem_free ion_unmap_kernel
[save_output_data][625]: LV[  117.168552] aw_vip_mem_free ion_free
[  117.175080] aw_vip_mem_free ion_client_destroy

[save_output_data][637]: LV0  *quant_data.affine.scale 293921
data_format=2 buff_size=28800
[save_output_data][621]: LV0  buf_param.data_format 2
[save_output_data][625]: LV0   buf_param.num_of_dims 5
[save_output_data][637]: LV0  *quant_data.affine.scale 293921
data_format=2 buff_size=7200
 save_output_data 675 可用内存: 7.78 MB
[save_output_data][677]: LV0
[detect_yolov5][417]: LV0
[detect_yolov5][421]: LV0
[detect_yolov5][424]: LV0
[detect_yolov5][429]: LV0
[detect_yolov5][434]: LV0
[detect_yolov5][[  117.237009] npu[38c][38c] gckvip_drv_exit, aw_vip_mem_free
448]: LV0  p32_data size 7200   117.244567] aw_vip_mem_free vir 0xc4ab0000, phy 0x48500000
0m
[generate_proposals][32[  117.253413] aw_vip_mem_free dma_unmap_sg_atrs
9]: LV0  stride 32 prob_threshol[  117.261138] aw_vip_mem_free ion_unmap_kernel
d 0.500000 letterbox_cols 640 le[  117.269247] aw_vip_mem_free ion_free
tterbox_rows 640
[gen[  117.275520] aw_vip_mem_free ion_client_destroy
erate_proposals][330]: LV0  feat[  117.283325] npu[38c][38c] vipcore, device un-init..
_h 20
 generate_proposals 331 可用内存: 7.22 MB
[generate_proposals][401]: LV0 objects size 0
[detect_yolov5][451]: LV0
[detect_yolov5][454]: LV0  p16_data size 28800
[generate_proposals][329]: LV0  stride 16 prob_threshold 0.500000 letterbox_cols 640 letterbox_rows 640
[generate_proposals][330]: LV0  feat_h 40
 generate_proposals 331 可用内存: 7.22 MB
[generate_proposals][401]: LV0 objects size 0
[detect_yolov5][457]: LV0  p8_data size 115200
[generate_proposals][329]: LV0  stride 8 prob_threshold 0.500000 letterbox_cols 640 letterbox_rows 640
[generate_proposals][330]: LV0  feat_h 80
 generate_proposals 331 可用内存: 7.22 MB
[generate_proposals][401]: LV0 objects size 0
[detect_yolov5][460]: LV0
[nms_sorted_bboxes][256]: LV0 faceobjects.size() 0 (int)picked.size() 0
[detect_yolov5][466]: LV0
[detect_yolov5][490]: LV0 +++++++++++++++++++++++++++++++++++ detection num: 0

[detect_yolov5][491]: LV0
[detect_yolov5][518]: LV0
[detect_yolov5][521]: LV0
time : 0.008 Sec
[detect_yolov5][524]: LV0
[save_output_data][679]: LV0
 save_output_data 680 可用内存: 7.72 MB
[save_output_data][683]: LV0
[main][378]: LV255 Post process output data success
 main 379 可用内存: 7.72 MB
[main][383]: LV255 Destroy resources start
[main][385]: LV255 Destroy resources success
 main 386 可用内存: 9.07 MB