Could not run.....

[ndinarvand]

Hi Guys... I installed successfully according to readme.md. but when running "./Examples/RGB-D/rgbd_tum Vocabulary/ORBvoc.txt Examples/RGB-D/TUMX.yaml PATH_TO_SEQUENCE_FOLDER ASSOCIATIONS_FILE (PATH_TO_MASKS) (PATH_TO_OUTPUT)" i've got following error:

Loading Mask R-CNN. This could take a while... Importing Mask R-CNN Settings... 2020-03-20 19:59:37.952620: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6 2020-03-20 19:59:37.957395: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6 /home/navid/.local/lib/python2.7/site-packages/h5py/init.py:40: UserWarning: h5py is running against HDF5 1.10.0 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple) Using TensorFlow backend. Initializing Mask RCNN network... ./src/python 2020-03-20 19:59:38.466275: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-03-20 19:59:38.479826: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.480240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce 920MX computeCapability: 5.0 coreClock: 0.993GHz coreCount: 2 deviceMemorySize: 1.96GiB deviceMemoryBandwidth: 13.41GiB/s 2020-03-20 19:59:38.480308: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-20 19:59:38.480373: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-03-20 19:59:38.481469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2020-03-20 19:59:38.481860: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2020-03-20 19:59:38.483331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2020-03-20 19:59:38.484447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2020-03-20 19:59:38.484543: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-03-20 19:59:38.484635: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.485293: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.485733: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0 2020-03-20 19:59:38.485969: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2020-03-20 19:59:38.509175: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2899885000 Hz 2020-03-20 19:59:38.509382: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55ba360323d0 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-03-20 19:59:38.509398: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2020-03-20 19:59:38.549730: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.550075: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55ba360a8410 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2020-03-20 19:59:38.550093: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce 920MX, Compute Capability 5.0 2020-03-20 19:59:38.550260: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.550499: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce 920MX computeCapability: 5.0 coreClock: 0.993GHz coreCount: 2 deviceMemorySize: 1.96GiB deviceMemoryBandwidth: 13.41GiB/s 2020-03-20 19:59:38.550599: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-20 19:59:38.550648: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-03-20 19:59:38.550697: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2020-03-20 19:59:38.550743: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2020-03-20 19:59:38.550787: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2020-03-20 19:59:38.550831: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2020-03-20 19:59:38.550874: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-03-20 19:59:38.550940: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.551200: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.551415: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0 2020-03-20 19:59:38.551471: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-20 19:59:38.825272: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-03-20 19:59:38.825305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0 2020-03-20 19:59:38.825311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N 2020-03-20 19:59:38.825556: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.825862: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-20 19:59:38.826104: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1506 MB memory) -> physical GPU (device: 0, name: GeForce 920MX, pci bus id: 0000:01:00.0, compute capability: 5.0) Creating net instance... Loading net parameters... Segmentation fault

Please help me. Thanks alot

[rickkcir]

did you solve this issue finally?