02-24 15:53:14.680 23521 23553 F libc : Fatal signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x0 in tid 23553 (Predictor Worke), pid 23521 (bject_detection)
02-24 15:53:14.744 23561 23561 I crash_dump64: obtaining output fd from tombstoned, type: kDebuggerdTombstone
02-24 15:53:14.745 985 985 I /system/bin/tombstoned: received crash request for pid 23553
02-24 15:53:14.746 23561 23561 I crash_dump64: performing dump of process 23521 (target tid = 23553)
02-24 15:53:14.751 23561 23561 F DEBUG :************************************************
02-24 15:53:14.751 23561 23561 F DEBUG : Build fingerprint: 'Xiaomi/chiron/chiron:9/PKQ1.190118.001/9.9.3:user/release-keys'
02-24 15:53:14.751 23561 23561 F DEBUG : Revision: '0'
02-24 15:53:14.751 23561 23561 F DEBUG : ABI: 'arm64'
02-24 15:53:14.751 23561 23561 F DEBUG : pid: 23521, tid: 23553, name: Predictor Worke >>> com.baidu.paddle.lite.demo.object_detection <<<
02-24 15:53:14.751 23561 23561 F DEBUG : signal 11 (SIGSEGV), code 1 (SEGV_MAPERR), fault addr 0x0
02-24 15:53:14.751 23561 23561 F DEBUG : Cause: null pointer dereference
02-24 15:53:14.751 23561 23561 F DEBUG : x0 0000000000000006 x1 0000000000000000 x2 0000000000000001 x3 0000000000000015
02-24 15:53:14.751 23561 23561 F DEBUG : x4 000000000000004e x5 0000007286dffbd8 x6 0000005a00000074 x7 000000c60000009c
02-24 15:53:14.751 23561 23561 F DEBUG : x8 fec3bbff8149f50f x9 0000000000000017 x10 000000000000001f x11 00000000ffffffff
02-24 15:53:14.751 23561 23561 F DEBUG : x12 000000c60000009c x13 0000014600000175 x14 0000000000000000 x15 0000007286dfc8b0
02-24 15:53:14.751 23561 23561 F DEBUG : x16 00000072753b1820 x17 0000007312e6eef0 x18 0000007286dfcd60 x19 0000007286d01840
02-24 15:53:14.751 23561 23561 F DEBUG : x20 000000727576c4c0 x21 000000727576c4d8 x22 000000727576c4f0 x23 0000007286cba840
02-24 15:53:14.751 23561 23561 F DEBUG : x24 0000000012dc12c0 x25 0000000000000003 x26 0000000000000002 x27 000000000000012c
02-24 15:53:14.751 23561 23561 F DEBUG : x28 000000727576c5e0 x29 000000727576c5e0
02-24 15:53:14.751 23561 23561 F DEBUG : sp 000000727576c490 lr 0000007275197714 pc 00000072751977d8
02-24 15:53:14.752 23561 23561 F DEBUG :
02-24 15:53:14.752 23561 23561 F DEBUG : backtrace:
02-24 15:53:14.752 23561 23561 F DEBUG : #0 pc 00000000000ec7d8 /data/app/com.baidu.paddle.lite.demo.object_detection-7rl7R4ad6gg3UagtxvlRkw==/lib/arm64/libpaddle_lite_jni.so
02-24 15:53:15.161 23561 23561 E MIUINDBG: miui_native_debug_process_O
4条答案
按热度按时间gstyhher1#
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v7pvogib2#
建议在 https://github.com/PaddlePaddle/Paddle-Lite/releases 选择制定版本的opt工具生成nb模型，然后用对应的lite库和头文件替换demo中的文件。
tyg4sfes3#
模型是yolov3_mobilenet_v1，官方demo是2.7，我也是用2.7opt生成nb的，看到文章说yolov3有bug。自己编译换成2.8的还是一样的错误，同样的图片，我换了一个模型ssdlite_mobilenet_v3，训练完成后，2.7opt生成nb就可以使用
mlmc2os54#
请问 您有解决该问题吗。