root@tte:/mnt/sd-boot/lyp/rmfsd_Mul_cpp# ./vx_app_tidl_mul_rmfsd_copy_exe.out --cfg ./config/app_oc_piliang_dy.cfg
APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
_rpmsg_char_find_ctrldev: could not find the matching rpmsg_ctrl device for virtio3.rpmsg_chrdev.-1.13
IPC: ERROR: Unable to create TX channels for CPU [mcu2_1] !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
_rpmsg_char_find_ctrldev: could not find the matching rpmsg_ctrl device for virtio3.rpmsg_chrdev.-1.21
REMOTE_SERVICE: Init ... Done !!!
APP: Init ... Done !!!
hello: ./vx_app_tidl_mul_rmfsd_copy_exe.out
app_tidl: Init ...
app_tidl: Reading config file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin ...
app_tidl: Reading config file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin ... Done. 37256 bytes
app_tidl: Tensors, input = 1, output = 5
app_tidl: Reading network file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin ...
app_tidl: Reading network file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin ... Done. 9807044 bytes
app_tidl: Init ... Done.
app_tidl: Creating graph ...
app_tidl: Creating graph ... Done.
app_tidl: Verifying graph ...
app_tidl: Verifying graph ... Done.
network file: /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin
config file: /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin
Iteration 0 of 1 ...
Classifying input 1.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/1.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55523 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[1] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.0000 max_score=0.0000 conf_pass=0 final=0
端到端车位解码耗时: 410 us
检测到0车位
save to /mnt/cyData/lyp2/out_608_736//img/1_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/1_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/1_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/1_imask4.bmp!!!
完成图像张数: 1
Classifying input 1.bmp ...Done!
cur_time:==738977
Classifying input 2.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/2.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55254 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.1227 max_cls=0.9289 max_score=0.1140 conf_pass=2 final=2 overflow=0
det_head[1] stats: max_conf=0.0156 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.1227 max_score=0.1140 conf_pass=2 final=2
端到端车位解码耗时: 1075 us
检测到1车位
save to /mnt/cyData/lyp2/out_608_736//img/2_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/2_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/2_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/2_imask4.bmp!!!
完成图像张数: 2
Classifying input 2.bmp ...Done!
cur_time:==730016
Classifying input 3.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/3.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55281 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.5475 max_cls=0.9334 max_score=0.5094 conf_pass=51 final=50 overflow=0
det_head[1] stats: max_conf=0.2868 max_cls=0.9372 max_score=0.2676 conf_pass=18 final=17 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.5475 max_score=0.5094 conf_pass=69 final=67
端到端车位解码耗时: 913 us
检测到5车位
save to /mnt/cyData/lyp2/out_608_736//img/3_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/3_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/3_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/3_imask4.bmp!!!
完成图像张数: 3
Classifying input 3.bmp ...Done!
cur_time:==1067318
Classifying input 4.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/4.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55216 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.7968 max_cls=0.9351 max_score=0.7433 conf_pass=26 final=25 overflow=0
det_head[1] stats: max_conf=0.6232 max_cls=0.9390 max_score=0.5840 conf_pass=26 final=26 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.7968 max_score=0.7433 conf_pass=52 final=51
端到端车位解码耗时: 944 us
检测到3车位
save to /mnt/cyData/lyp2/out_608_736//img/4_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/4_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/4_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/4_imask4.bmp!!!
完成图像张数: 4
Classifying input 4.bmp ...Done!
cur_time:==728756
Classifying input 5.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/5.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55202 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.1117 max_cls=0.9332 max_score=0.1042 conf_pass=3 final=1 overflow=0
det_head[1] stats: max_conf=0.0713 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.1117 max_score=0.1042 conf_pass=3 final=1
端到端车位解码耗时: 515 us
检测到1车位
save to /mnt/cyData/lyp2/out_608_736//img/5_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/5_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/5_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/5_imask4.bmp!!!
完成图像张数: 5
Classifying input 5.bmp ...Done!
cur_time:==739189
Classifying input 6.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/6.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55223 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.4549 max_cls=0.9332 max_score=0.4241 conf_pass=21 final=21 overflow=0
det_head[1] stats: max_conf=0.1913 max_cls=0.9326 max_score=0.1784 conf_pass=2 final=2 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.4549 max_score=0.4241 conf_pass=23 final=23
端到端车位解码耗时: 582 us
检测到2车位
save to /mnt/cyData/lyp2/out_608_736//img/6_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/6_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/6_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/6_imask4.bmp!!!
完成图像张数: 6
Classifying input 6.bmp ...Done!
cur_time:==734636
Classifying input 7.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/7.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55314 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8629 max_cls=0.9375 max_score=0.8057 conf_pass=84 final=84 overflow=0
det_head[1] stats: max_conf=0.5874 max_cls=0.9383 max_score=0.5507 conf_pass=37 final=16 overflow=20
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8629 max_score=0.8057 conf_pass=121 final=100
端到端车位解码耗时: 867 us
检测到8车位
save to /mnt/cyData/lyp2/out_608_736//img/7_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/7_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/7_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/7_imask4.bmp!!!
完成图像张数: 7
Classifying input 7.bmp ...Done!
cur_time:==734355
Classifying input 8.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/8.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55262 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.3679 max_cls=0.9332 max_score=0.3424 conf_pass=21 final=21 overflow=0
det_head[1] stats: max_conf=0.1068 max_cls=0.9331 max_score=0.0997 conf_pass=1 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.3679 max_score=0.3424 conf_pass=22 final=21
端到端车位解码耗时: 1470 us
检测到3车位
save to /mnt/cyData/lyp2/out_608_736//img/8_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/8_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/8_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/8_imask4.bmp!!!
完成图像张数: 8
Classifying input 8.bmp ...Done!
cur_time:==728812
Classifying input 9.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/9.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55208 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.5453 max_cls=0.9340 max_score=0.5090 conf_pass=24 final=24 overflow=0
det_head[1] stats: max_conf=0.2785 max_cls=0.9370 max_score=0.2605 conf_pass=7 final=6 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.5453 max_score=0.5090 conf_pass=31 final=30
端到端车位解码耗时: 1327 us
检测到2车位
save to /mnt/cyData/lyp2/out_608_736//img/9_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/9_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/9_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/9_imask4.bmp!!!
完成图像张数: 9
Classifying input 9.bmp ...Done!
cur_time:==739636
Classifying input 10.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/10.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55385 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.7873 max_cls=0.9358 max_score=0.7349 conf_pass=78 final=75 overflow=0
det_head[1] stats: max_conf=0.4470 max_cls=0.9398 max_score=0.4175 conf_pass=28 final=25 overflow=2
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.7873 max_score=0.7349 conf_pass=106 final=100
端到端车位解码耗时: 1547 us
检测到6车位
save to /mnt/cyData/lyp2/out_608_736//img/10_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/10_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/10_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/10_imask4.bmp!!!
完成图像张数: 10
Classifying input 10.bmp ...Done!
cur_time:==732563
Classifying input 11.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/11.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55225 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[1] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.0000 max_score=0.0000 conf_pass=0 final=0
端到端车位解码耗时: 494 us
检测到0车位
save to /mnt/cyData/lyp2/out_608_736//img/11_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/11_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/11_gmask4.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/11_imask4.bmp!!!
完成图像张数: 11
Classifying input 11.bmp ...Done!
cur_time:==742029
Classifying input 12.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/12.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 480 x 544 (pitch = 1440 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55258 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8307 max_cls=0.9352 max_score=0.7753 conf_pass=21 final=21 overflow=0
det_head[1] stats: max_conf=0.5410 max_cls=0.9380 max_score=0.5057 conf_pass=10 final=10 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8307 max_score=0.7753 conf_pass=31 final=31
端到端车位解码耗时: 1278 us
检测到2车位
save to /mnt/cyData/lyp2/out_608_736//img/12_gmask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/12_imask0.bmp!!!
save to /mnt/cyData/lyp2/out_608_736//img/12_gmask4.bmp!!!
^C
Clean up and exit while handling signal 2
Application did not close some rpmsg_char devices
root@tte:/mnt/sd-boot/lyp/rmfsd_Mul_cpp#
(mmd3.0) root@ai:/ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold# python /ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold/dataset_tools/draw_tensor2psd_v4.py
0%| | 0/12 [00:00<?, ?it/s]len(infer_data): 0
raw_max: 0 0 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/1.bmp
===================
8%|█████▋ | 1/12 [00:01<00:15, 1.45s/it]len(infer_data): 20
raw_max: 375 655 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/2.bmp
===================
17%|███████████▎ | 2/12 [00:03<00:17, 1.77s/it]len(infer_data): 100
raw_max: 601 683 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/3.bmp
===================
25%|█████████████████ | 3/12 [00:05<00:16, 1.85s/it]len(infer_data): 60
raw_max: 124 622 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/4.bmp
===================
33%|██████████████████████▋ | 4/12 [00:08<00:17, 2.18s/it]len(infer_data): 20
raw_max: 141 503 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/5.bmp
===================
42%|████████████████████████████▎ | 5/12 [00:08<00:11, 1.69s/it]len(infer_data): 40
raw_max: 608 650 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/6.bmp
===================
50%|██████████████████████████████████ | 6/12 [00:10<00:09, 1.63s/it]len(infer_data): 160
raw_max: 599 756 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/7.bmp
===================
58%|███████████████████████████████████████▋ | 7/12 [00:12<00:08, 1.80s/it]len(infer_data): 60
raw_max: 215 531 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/8.bmp
===================
67%|█████████████████████████████████████████████▎ | 8/12 [00:14<00:07, 1.78s/it]len(infer_data): 40
raw_max: 191 732 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/9.bmp
===================
75%|███████████████████████████████████████████████████ | 9/12 [00:15<00:04, 1.59s/it]len(infer_data): 120
raw_max: 609 732 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/10.bmp
===================
83%|███████████████████████████████████████████████████████▊ | 10/12 [00:17<00:03, 1.84s/it]len(infer_data): 0
raw_max: 0 0 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/11.bmp
===================
92%|█████████████████████████████████████████████████████████████▍ | 11/12 [00:20<00:02, 2.16s/it]len(infer_data): 40
raw_max: 132 521 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/12.bmp
===================
100%|███████████████████████████████████████████████████████████████████| 12/12 [00:26<00:00, 2.17s/it]
(mmd3.0) root@ai:/ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold
===========608x736============
root@tte:/mnt/sd-boot/lyp/rmfsd_Mul_cpp# ./vx_app_tidl_mul_rmfsd_copy_exe.out --cfg ./config/app_oc_piliang_dy_2.cfg
APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
_rpmsg_char_find_ctrldev: could not find the matching rpmsg_ctrl device for virtio3.rpmsg_chrdev.-1.13
IPC: ERROR: Unable to create TX channels for CPU [mcu2_1] !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
_rpmsg_char_find_ctrldev: could not find the matching rpmsg_ctrl device for virtio3.rpmsg_chrdev.-1.21
REMOTE_SERVICE: Init ... Done !!!
APP: Init ... Done !!!
hello: ./vx_app_tidl_mul_rmfsd_copy_exe.out
app_tidl: Init ...
app_tidl: Reading config file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin ...
app_tidl: Reading config file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin ... Done. 37256 bytes
app_tidl: Tensors, input = 1, output = 5
app_tidl: Reading network file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin ...
app_tidl: Reading network file /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin ... Done. 9807044 bytes
app_tidl: Init ... Done.
app_tidl: Creating graph ...
app_tidl: Creating graph ... Done.
app_tidl: Verifying graph ...
app_tidl: Verifying graph ... Done.
network file: /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_net_MulTask_fsd_rmfsd_608_736_last_115_V1_4M.bin
config file: /mnt/sd-boot/lyp/rmfsd_Mul_cpp/model/out_dynamic_608_736/tidl_io_MulTask_fsd_rmfsd_608_736_last_115_V1_4M_1.bin
Iteration 0 of 1 ...
Classifying input 20230909164115_地下垂直T车位，车位号数字_images_0870.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/20230909164115_地下垂直T车位，车位号数字_images_0870.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55490 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8914 max_cls=0.9364 max_score=0.8322 conf_pass=78 final=78 overflow=0
det_head[1] stats: max_conf=0.5481 max_cls=0.9376 max_score=0.5133 conf_pass=33 final=22 overflow=10
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8914 max_score=0.8322 conf_pass=111 final=100
端到端车位解码耗时: 827 us
检测到6车位
save to /mnt/cyData/lyp/out//img/20230909164115_地下垂直T车位，车位号数字_images_0870_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230909164115_地下垂直T车位，车位号数字_images_0870_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230909164115_地下垂直T车位，车位号数字_images_0870_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/20230909164115_地下垂直T车位，车位号数字_images_0870_imask4.bmp!!!
完成图像张数: 1
Classifying input 20230909164115_地下垂直T车位，车位号数字_images_0870.bmp ...Done!
cur_time:==822350
Classifying input NOR_20230325_142113_images_2035.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/NOR_20230325_142113_images_2035.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55206 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8516 max_cls=0.9350 max_score=0.7948 conf_pass=60 final=60 overflow=0
det_head[1] stats: max_conf=0.4751 max_cls=0.9386 max_score=0.4449 conf_pass=29 final=28 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8516 max_score=0.7948 conf_pass=89 final=88
端到端车位解码耗时: 1033 us
检测到5车位
save to /mnt/cyData/lyp/out//img/NOR_20230325_142113_images_2035_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20230325_142113_images_2035_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20230325_142113_images_2035_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20230325_142113_images_2035_imask4.bmp!!!
完成图像张数: 2
Classifying input NOR_20230325_142113_images_2035.bmp ...Done!
cur_time:==795840
Classifying input DVR-20240123161042-400466地面立体车位，多云_images_1930.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20240123161042-400466地面立体车位，多云_images_1930.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55197 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.7713 max_cls=0.9358 max_score=0.7195 conf_pass=92 final=89 overflow=0
det_head[1] stats: max_conf=0.5626 max_cls=0.9407 max_score=0.3202 conf_pass=50 final=11 overflow=38
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.7713 max_score=0.7195 conf_pass=142 final=100
端到端车位解码耗时: 1011 us
检测到9车位
save to /mnt/cyData/lyp/out//img/DVR-20240123161042-400466地面立体车位，多云_images_1930_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20240123161042-400466地面立体车位，多云_images_1930_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20240123161042-400466地面立体车位，多云_images_1930_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20240123161042-400466地面立体车位，多云_images_1930_imask4.bmp!!!
完成图像张数: 3
Classifying input DVR-20240123161042-400466地面立体车位，多云_images_1930.bmp ...Done!
cur_time:==798770
Classifying input NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55283 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.6988 max_cls=0.9378 max_score=0.6506 conf_pass=17 final=15 overflow=0
det_head[1] stats: max_conf=0.1770 max_cls=0.9477 max_score=0.1676 conf_pass=4 final=4 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.6988 max_score=0.6506 conf_pass=21 final=19
端到端车位解码耗时: 481 us
检测到1车位
save to /mnt/cyData/lyp/out//img/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085_imask4.bmp!!!
完成图像张数: 4
Classifying input NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085.bmp ...Done!
cur_time:==782149
Classifying input DVR-20231118131757_images_3510.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20231118131757_images_3510.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55260 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.1809 max_cls=0.9328 max_score=0.1688 conf_pass=12 final=11 overflow=0
det_head[1] stats: max_conf=0.0507 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.1809 max_score=0.1688 conf_pass=12 final=11
端到端车位解码耗时: 448 us
检测到3车位
save to /mnt/cyData/lyp/out//img/DVR-20231118131757_images_3510_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118131757_images_3510_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118131757_images_3510_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118131757_images_3510_imask4.bmp!!!
完成图像张数: 5
Classifying input DVR-20231118131757_images_3510.bmp ...Done!
cur_time:==799599
Classifying input DVR-20231118145805_images_2220.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20231118145805_images_2220.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55218 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.2748 max_cls=0.9432 max_score=0.2573 conf_pass=8 final=8 overflow=0
det_head[1] stats: max_conf=0.3331 max_cls=0.9435 max_score=0.3125 conf_pass=7 final=6 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.3331 max_score=0.3125 conf_pass=15 final=14
端到端车位解码耗时: 721 us
检测到1车位
save to /mnt/cyData/lyp/out//img/DVR-20231118145805_images_2220_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118145805_images_2220_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118145805_images_2220_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231118145805_images_2220_imask4.bmp!!!
完成图像张数: 6
Classifying input DVR-20231118145805_images_2220.bmp ...Done!
cur_time:==794762
Classifying input DVR-20231114144946_蓝色小T车位_阴天_images_0280.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20231114144946_蓝色小T车位_阴天_images_0280.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55661 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8736 max_cls=0.9424 max_score=0.8184 conf_pass=27 final=27 overflow=0
det_head[1] stats: max_conf=0.4746 max_cls=0.9497 max_score=0.4507 conf_pass=8 final=8 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8736 max_score=0.8184 conf_pass=35 final=35
端到端车位解码耗时: 694 us
检测到2车位
save to /mnt/cyData/lyp/out//img/DVR-20231114144946_蓝色小T车位_阴天_images_0280_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231114144946_蓝色小T车位_阴天_images_0280_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231114144946_蓝色小T车位_阴天_images_0280_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231114144946_蓝色小T车位_阴天_images_0280_imask4.bmp!!!
完成图像张数: 7
Classifying input DVR-20231114144946_蓝色小T车位_阴天_images_0280.bmp ...Done!
cur_time:==798550
Classifying input DVR-20231228112206-1901426_frame_171.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20231228112206-1901426_frame_171.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55298 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[1] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.0000 max_score=0.0000 conf_pass=0 final=0
端到端车位解码耗时: 651 us
检测到0车位
save to /mnt/cyData/lyp/out//img/DVR-20231228112206-1901426_frame_171_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231228112206-1901426_frame_171_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231228112206-1901426_frame_171_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231228112206-1901426_frame_171_imask4.bmp!!!
完成图像张数: 8
Classifying input DVR-20231228112206-1901426_frame_171.bmp ...Done!
cur_time:==792978
Classifying input 20230620153350_地下垂直T车位_车位号数字_images_1476.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/20230620153350_地下垂直T车位_车位号数字_images_1476.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55200 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.9007 max_cls=0.9351 max_score=0.8413 conf_pass=45 final=44 overflow=0
det_head[1] stats: max_conf=0.6027 max_cls=0.9399 max_score=0.5635 conf_pass=44 final=42 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.9007 max_score=0.8413 conf_pass=89 final=86
端到端车位解码耗时: 1405 us
检测到6车位
save to /mnt/cyData/lyp/out//img/20230620153350_地下垂直T车位_车位号数字_images_1476_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230620153350_地下垂直T车位_车位号数字_images_1476_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230620153350_地下垂直T车位_车位号数字_images_1476_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/20230620153350_地下垂直T车位_车位号数字_images_1476_imask4.bmp!!!
完成图像张数: 9
Classifying input 20230620153350_地下垂直T车位_车位号数字_images_1476.bmp ...Done!
cur_time:==797974
Classifying input 20230324150108_images_1250.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/20230324150108_images_1250.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55226 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.8707 max_cls=0.9345 max_score=0.8133 conf_pass=110 final=100 overflow=7
det_head[1] stats: max_conf=0.3541 max_cls=0.9372 max_score=0.0000 conf_pass=55 final=0 overflow=55
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.8707 max_score=0.8133 conf_pass=165 final=100
端到端车位解码耗时: 778 us
检测到9车位
save to /mnt/cyData/lyp/out//img/20230324150108_images_1250_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230324150108_images_1250_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/20230324150108_images_1250_gmask4.bmp!!!
save to /mnt/cyData/lyp/out//img/20230324150108_images_1250_imask4.bmp!!!
完成图像张数: 10
Classifying input 20230324150108_images_1250.bmp ...Done!
cur_time:==788355
Classifying input DVR-20231228114246-227320_frame_1115.bmp ...
app_tidl: Reading input file /mnt/cyData/lyp/image/DVR-20231228114246-227320_frame_1115.bmp ... input_sizes[0] = 608, dim = 608 padL = 0 padR = 0
input_sizes[1] = 736, dim = 736 padT = 0 padB = 0
input_sizes[2] = 3, dim = 3
app_tidl: Reading bmp file ...
app_tidl: Reading bmp file ... Done.
app_tidl: Image Pre processing for image of size 608 x 736 (pitch = 1824 bytes)...
app_tidl: Deinterleaving data ...
app_tidl: Resizing image ...
app_tidl: Rearranging data ...
app_tidl: Image Pre processing ... Done.
Done!
app_tidl: Running Graph ... Done!
20260122==============!
time of rmfsd: 55177 us
det_head[1->0] type(VX)=5 scale=47355.589844 outW=19 outH=23 outC=66 pitch=437
det_head[1->0] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[1->0] scale_src: out_args.scale[1]=47355.589844 ioBufDesc.outTensorScale[1]=47355.589844
det_head[2->1] type(VX)=5 scale=44688.843750 outW=38 outH=46 outC=66 pitch=1748
det_head[2->1] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[2->1] scale_src: out_args.scale[2]=44688.843750 ioBufDesc.outTensorScale[2]=44688.843750
det_head[3->2] type(VX)=5 scale=58488.511719 outW=76 outH=92 outC=66 pitch=6992
det_head[3->2] outElementType(TIDL)=2 vxType=VX_TYPE_UINT16
det_head[3->2] scale_src: out_args.scale[3]=58488.511719 ioBufDesc.outTensorScale[3]=58488.511719
端到端车位解码耗时
det_head[0] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[1] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_head[2] stats: max_conf=0.0000 max_cls=0.0000 max_score=0.0000 conf_pass=0 final=0 overflow=0
det_all stats: max_conf=0.0000 max_score=0.0000 conf_pass=0 final=0
端到端车位解码耗时: 378 us
检测到0车位
save to /mnt/cyData/lyp/out//img/DVR-20231228114246-227320_frame_1115_gmask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231228114246-227320_frame_1115_imask0.bmp!!!
save to /mnt/cyData/lyp/out//img/DVR-20231228114246-227320_frame_1115_gmask4.bmp!!!
^C
Clean up and exit while handling signal 2
Application did not close some rpmsg_char devices
root@tte:/mnt/sd-boot/lyp/rmfsd_Mul_cpp#
(mmd3.0) root@ai:/ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold# python /ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold/dataset_tools/draw_tensor2psd_v4.py
0%| | 0/11 [00:00<?, ?it/s]len(infer_data): 120
raw_max: 593 562 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/20230909164115_地下垂直T车位，车位号数字_images_0870.bmp
===================
9%|██████▏ | 1/11 [00:00<00:01, 7.07it/s]len(infer_data): 100
raw_max: 614 710 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/NOR_20230325_142113_images_2035.bmp
===================
len(infer_data): 180
raw_max: 608 719 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20240123161042-400466地面立体车位，多云_images_1930.bmp
===================
27%|██████████████████▌ | 3/11 [00:00<00:01, 4.78it/s]len(infer_data): 20
raw_max: 521 553 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/NOR_20240129_160959路边水平车位，弧形车位，多云_images_2085.bmp
===================
36%|████████████████████████▋ | 4/11 [00:01<00:04, 1.63it/s]len(infer_data): 60
raw_max: 484 430 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20231118131757_images_3510.bmp
===================
45%|██████████████████████████████▉ | 5/11 [00:04<00:07, 1.24s/it]len(infer_data): 20
raw_max: 521 550 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20231118145805_images_2220.bmp
===================
55%|█████████████████████████████████████ | 6/11 [00:05<00:05, 1.09s/it]len(infer_data): 40
raw_max: 229 693 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20231114144946_蓝色小T车位_阴天_images_0280.bmp
===================
64%|███████████████████████████████████████████▎ | 7/11 [00:06<00:04, 1.11s/it]len(infer_data): 0
raw_max: 0 0 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20231228112206-1901426_frame_171.bmp
===================
73%|█████████████████████████████████████████████████▍ | 8/11 [00:07<00:03, 1.10s/it]len(infer_data): 120
raw_max: 234 710 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/20230620153350_地下垂直T车位_车位号数字_images_1476.bmp
===================
82%|███████████████████████████████████████████████████████▋ | 9/11 [00:07<00:01, 1.20it/s]len(infer_data): 180
raw_max: 612 657 use_raw_as_original: False
/ai/TopViewMul/4/psd_out/20230324150108_images_1250.bmp
===================
91%|████████████████████████████████████████████████████████████▉ | 10/11 [00:08<00:00, 1.09it/s]len(infer_data): 0
raw_max: 0 0 use_raw_as_original: True
/ai/TopViewMul/4/psd_out/DVR-20231228114246-227320_frame_1115.bmp
===================
100%|███████████████████████████████████████████████████████████████████| 11/11 [00:09<00:00, 1.12it/s]
(mmd3.0) root@ai:/ai/zhdata/lyp/multiyolov5_point_v2_tda4cpp_mirrorfold#