hansren1024 / pcn-ncnn Goto Github PK
View Code? Open in Web Editor NEWPCN based on ncnn framework.
PCN based on ncnn framework.
Is there any comparision to original caffe implementation, i.e. is inference speed is faster using ncnn
than using caffe?
非常感谢大佬开源的ncnn版PCN模型,有一个问题想请教一下,我看到原始的PCN模型为三个prototxt文件和一个caffemodel文件,请问一下大佬是如何分离模型的,谢谢~
Could you provide more details about the performance and target devices? such FPS or processing speed, thanks.
您好,我在使用您的工程做人脸角度检测时,发现有严重的内存泄漏问题,能不能提供一下解决方法呀,谢谢!
please help me with this error.Logs as follow:
01-17 18:07:12.946 835-925/? E/HmctWindowManager: mSystemGestures : onDown
01-17 18:07:13.000 835-925/? E/HmctWindowManager: mSystemGestures : onUpOrCancel
01-17 18:07:13.272 18693-18693/com.hmct.wuyajun.pcn_facedetectiondemo A/libc: Fatal signal 11 (SIGSEGV), code 1, fault addr 0x733ae00000 in tid 18693 (cedetectiondemo), pid 18693 (cedetectiondemo)
01-17 18:07:13.518 19061-19061/? A/DEBUG: *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
01-17 18:07:13.518 19061-19061/? A/DEBUG: Build fingerprint: 'Hisense/HLTE215T/HSSDM429QC:8.1.0/OPM1.171019.026/L1574.6.01.01:user/release-keys'
01-17 18:07:13.518 19061-19061/? A/DEBUG: Revision: '0'
01-17 18:07:13.518 19061-19061/? A/DEBUG: ABI: 'arm64'
01-17 18:07:13.518 19061-19061/? A/DEBUG: pid: 18693, tid: 18693, name: cedetectiondemo >>> com.hmct.wuyajun.pcn_facedetectiondemo <<<
01-17 18:07:13.518 19061-19061/? A/DEBUG: signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x733ae00000
01-17 18:07:13.518 19061-19061/? A/DEBUG: x0 0000000000000000 x1 000000733adffe80 x2 0000000000000048 x3 0000000000000040
01-17 18:07:13.518 19061-19061/? A/DEBUG: x4 00000073379fdcd0 x5 000000733adfff40 x6 000000734c6d6de0 x7 000000734c6d6e9e
01-17 18:07:13.518 19061-19061/? A/DEBUG: x8 0000000000000017 x9 0000000000000009 x10 0000000000000048 x11 0000000000000018
01-17 18:07:13.518 19061-19061/? A/DEBUG: x12 0000000000000018 x13 00000073379fdd90 x14 0000000000000000 x15 00000000000000c0
01-17 18:07:13.518 19061-19061/? A/DEBUG: x16 000000000000000a x17 0000000100000000 x18 000000000000008a x19 0000000000000018
01-17 18:07:13.518 19061-19061/? A/DEBUG: x20 0000000100000000 x21 00000000000000ba x22 000000734c6d6d80 x23 00000000000000ba
01-17 18:07:13.518 19061-19061/? A/DEBUG: x24 00000000000000b2 x25 00000073379fde2c x26 000000734c6d6de0 x27 000000734c6d6efc
01-17 18:07:13.518 19061-19061/? A/DEBUG: x28 00000073379fdd6c x29 0000007ff2569060 x30 000000733b2f5ba0
01-17 18:07:13.518 19061-19061/? A/DEBUG: sp 0000007ff2568fd0 pc 000000733b2f5d2c pstate 0000000020000000
01-17 18:07:13.525 19061-19061/? A/DEBUG: backtrace:
01-17 18:07:13.525 19061-19061/? A/DEBUG: #00 pc 00000000000b3d2c /data/app/com.hmct.wuyajun.pcn_facedetectiondemo--Z9yVOy6o1fVUisG57ZIBw==/lib/arm64/libface_angle_detection.so
01-17 18:07:13.525 19061-19061/? A/DEBUG: #1 pc 00000000000b609c /data/app/com.hmct.wuyajun.pcn_facedetectiondemo--Z9yVOy6o1fVUisG57ZIBw==/lib/arm64/libface_angle_detection.so
01-17 18:07:13.525 19061-19061/? A/DEBUG: #2 pc 00000000000a3a2c /data/app/com.hmct.wuyajun.pcn_facedetectiondemo--Z9yVOy6o1fVUisG57ZIBw==/lib/arm64/libface_angle_detection.so (Impl::Stage2(cv::Mat, cv::Mat, ncnn::Net&, float, int, std::vector<Window2, std::allocator, >&)+1080)
01-17 18:07:13.525 19061-19061/? A/DEBUG: #3 pc 00000000000a1bf4 /data/app/com.hmct.wuyajun.pcn_facedetectiondemo--Z9yVOy6o1fVUisG57ZIBw==/lib/arm64/libface_angle_detection.so (PCN::DetectFace(cv::Mat)+592)
01-17 18:07:13.525 19061-19061/? A/DEBUG: #4 pc 00000000000a7540 /data/app/com.hmct.wuyajun.pcn_facedetectiondemo--Z9yVOy6o1fVUisG57ZIBw==/lib/arm64/libface_angle_detection.so (Java_com_example_facedetectionlibrary_FaceAngleDetectionUtils_faceAngleDetect+720)
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