训练coco形式的数据集出错
Created by: NeVermore2
weights: output/cascade_rcnn_cls_aware_r101_vd_fpn_1x_softnms/model_final
W0401 21:42:07.599655 307517 device_context.cc:237] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 10.0, Runtime API Version: 10.0 W0401 21:42:07.607129 307517 device_context.cc:245] device: 0, cuDNN Version: 7.6. 2020-04-01 21:42:10,792-INFO: Found /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained 2020-04-01 21:42:10,793-INFO: Loading parameters from /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained... 2020-04-01 21:42:10,793-WARNING: /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-04-01 21:42:10,793-WARNING: /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained.pdparams not found, try to load model file saved with [ save_params, save_persistables, save_vars ] 2020-04-01 21:42:10,808-WARNING: variable file [ /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained/fc_0.b_0 /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained/fc_0.w_0 ] not used 2020-04-01 21:42:10,808-WARNING: variable file [ /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained/fc_0.b_0 /home/renpeng2/.cache/paddle/weights/ResNet101_vd_pretrained/fc_0.w_0 ] not used W0401 21:42:12.378114 307517 init.cc:209] Warning: PaddlePaddle catches a failure signal, it may not work properly W0401 21:42:12.378155 307517 init.cc:211] You could check whether you killed PaddlePaddle thread/process accidentally or report the case to PaddlePaddle W0401 21:42:12.378165 307517 init.cc:214] The detail failure signal is:
W0401 21:42:12.378175 307517 init.cc:217] *** Aborted at 1585748532 (unix time) try "date -d @1585748532" if you are using GNU date *** W0401 21:42:12.391445 307517 init.cc:217] PC: @ 0x0 (unknown) W0401 21:42:12.391806 307517 init.cc:217] *** SIGSEGV (@0x0) received by PID 307517 (TID 0x7f424a910740) from PID 0; stack trace: *** W0401 21:42:12.400959 307517 init.cc:217] @ 0x7f424a518370 (unknown) W0401 21:42:12.406363 307517 init.cc:217] @ 0x7f424aa3c210 (unknown) W0401 21:42:12.407595 307517 init.cc:217] @ 0x7f41d18790cf (unknown) W0401 21:42:12.408649 307517 init.cc:217] @ 0x7f41d1879935 (unknown) W0401 21:42:12.410121 307517 init.cc:217] @ 0x7f41d1542cdd qpycore_init() W0401 21:42:12.411516 307517 init.cc:217] @ 0x7f41d1519bfc PyInit_QtCore W0401 21:42:12.416157 307517 init.cc:217] @ 0x7f424ab5dbd5 _PyImport_LoadDynamicModuleWithSpec W0401 21:42:12.420771 307517 init.cc:217] @ 0x7f424ab5dde0 _imp_create_dynamic W0401 21:42:12.425595 307517 init.cc:217] @ 0x7f424aa5c491 PyCFunction_Call W0401 21:42:12.430522 307517 init.cc:217] @ 0x7f424ab0879a _PyEval_EvalFrameDefault W0401 21:42:12.436998 307517 init.cc:217] @ 0x7f424aada274 _PyEval_EvalCodeWithName W0401 21:42:12.439369 307517 init.cc:217] @ 0x7f424aadb0f1 fast_function W0401 21:42:12.441447 307517 init.cc:217] @ 0x7f424aae0e85 call_function W0401 21:42:12.443593 307517 init.cc:217] @ 0x7f424ab0366a _PyEval_EvalFrameDefault W0401 21:42:12.445735 307517 init.cc:217] @ 0x7f424aadaebb fast_function W0401 21:42:12.448613 307517 init.cc:217] @ 0x7f424aae0e85 call_function W0401 21:42:12.450964 307517 init.cc:217] @ 0x7f424ab0366a _PyEval_EvalFrameDefault W0401 21:42:12.457075 307517 init.cc:217] @ 0x7f424aadaebb fast_function W0401 21:42:12.467550 307517 init.cc:217] @ 0x7f424aae0e85 call_function W0401 21:42:12.471834 307517 init.cc:217] @ 0x7f424ab0366a _PyEval_EvalFrameDefault W0401 21:42:12.477816 307517 init.cc:217] @ 0x7f424aadaebb fast_function W0401 21:42:12.482522 307517 init.cc:217] @ 0x7f424aae0e85 call_function W0401 21:42:12.487242 307517 init.cc:217] @ 0x7f424ab0366a _PyEval_EvalFrameDefault W0401 21:42:12.491904 307517 init.cc:217] @ 0x7f424aadaebb fast_function W0401 21:42:12.496546 307517 init.cc:217] @ 0x7f424aae0e85 call_function W0401 21:42:12.501317 307517 init.cc:217] @ 0x7f424ab0366a _PyEval_EvalFrameDefault W0401 21:42:12.505717 307517 init.cc:217] @ 0x7f424aadb52b _PyFunction_FastCallDict W0401 21:42:12.510494 307517 init.cc:217] @ 0x7f424aa598bf PyObject_FastCallDict W0401 21:42:12.513447 307517 init.cc:217] @ 0x7f424aa9aff0 PyObject_CallMethodIdObjArgs W0401 21:42:12.517895 307517 init.cc:217] @ 0x7f424aa507d0 PyImport_ImportModuleLevelObject W0401 21:42:12.522372 307517 init.cc:217] @ 0x7f424aaeb75a builtin___import W0401 21:42:12.527271 307517 init.cc:217] @ 0x7f424aa5c426 PyCFunction_Call
根据要求,把自己的数据集配置成了coco格式,但出现如上错误。配置文件用的默认文件(coco数据形式)。 coco的json格式如下文件。。。求解答啊 train.txt