Error while running ./sds_train_models.sh

[klekkala]

Can someone help me? I am getting this error though I followed all the instructions mentioned in the readme file.

I0412 21:46:13.152091 2732 layer_factory.hpp:74] Creating layer data *** Aborted at 1492013773 (unix time) try "date -d @1492013773" if you are using GNU date *** PC: @ 0x7fc3da86e873 std::_Hashtable<>::clear() *** SIGSEGV (@0x9) received by PID 2732 (TID 0x7fc43f9ae740) from PID 9; stack trace: *** @ 0x7fc43e1414b0 (unknown) @ 0x7fc3da86e873 std::_Hashtable<>::clear() @ 0x7fc3da860346 google::protobuf::DescriptorPool::FindFileByName() @ 0x7fc3da83eac8 google::protobuf::python::cdescriptor_pool::AddSerializedFile() @ 0x7fc42fb857d0 PyEval_EvalFrameEx @ 0x7fc42fcae01c PyEval_EvalCodeEx @ 0x7fc42fc043dd (unknown) @ 0x7fc42fbd71e3 PyObject_Call @ 0x7fc42fbf7ae5 (unknown) @ 0x7fc42fb8e123 (unknown) @ 0x7fc42fbd71e3 PyObject_Call @ 0x7fc42fb8213c PyEval_EvalFrameEx @ 0x7fc42fcae01c PyEval_EvalCodeEx @ 0x7fc42fb7cb89 PyEval_EvalCode @ 0x7fc42fc111b4 PyImport_ExecCodeModuleEx @ 0x7fc42fc11b8f (unknown) @ 0x7fc42fc13300 (unknown) @ 0x7fc42fc135c8 (unknown) @ 0x7fc42fc146db PyImport_ImportModuleLevel @ 0x7fc42fb8b698 (unknown) @ 0x7fc42fbd71e3 PyObject_Call @ 0x7fc42fcad447 PyEval_CallObjectWithKeywords @ 0x7fc42fb805c6 PyEval_EvalFrameEx @ 0x7fc42fcae01c PyEval_EvalCodeEx @ 0x7fc42fb7cb89 PyEval_EvalCode @ 0x7fc42fc111b4 PyImport_ExecCodeModuleEx @ 0x7fc42fc11b8f (unknown) @ 0x7fc42fc13300 (unknown) @ 0x7fc42fc135c8 (unknown) @ 0x7fc42fc146db PyImport_ImportModuleLevel @ 0x7fc42fb8b698 (unknown) @ 0x7fc42fbd71e3 PyObject_Call added /home/kiran/fast-rcnn/caffe-sds/python added /home/kiran/fast-rcnn/lib added /home/kiran/fast-rcnn/python_utils added /home/kiran/fast-rcnn/. Called with args: Namespace(bbox_blob_name='bbox_pred', caffemodel=['output/sds/training_demo/alexnet_rgb/nyud2_images_2015_trainval/inst_segm_iter_10000.caffemodel'], cfg_file=None, comp_mode=False, gpu_id=1, imdb_name='nyud2_images_2015_test', prototxt='output/sds/training_demo/alexnet_rgb/test.prototxt.images', score_blob_name='cls_prob', sds=1, sds_detection_file='output/alexnet_rgb/nyud2_images_2015_test/fast_rcnn_iter_40000/detections.pkl', sds_img_blob_names=['image'], sds_output_blob_name='loss', sds_save_output=0, sds_sp_dir='data/nyud2_sp', sds_sp_thresh=0.4, set_cfgs=['EXP_DIR', 'sds/training_demo/alexnet_rgb', 'SDS.TARGET_SIZE', '688', 'SDS.DET_SALT', '_rgbd_det'], wait=True)