Segmentation fault when running examples/indoor/eval_detection test_yolo_v2.py

[VivekMaran27]

Description:
I was able to convert the yolo.weights to caffemodel successfuly using the script convert_weights_to_caffemodel.py, but when I try to run a detection example, it is causing a segmentation fault. Platform am using is Jetson-TX2

Error log:
0727 05:31:26.794594 18700 net.cpp:261] This network produces output detection_eval
I0727 05:31:26.794610 18700 net.cpp:261] This network produces output region1
I0727 05:31:26.794724 18700 net.cpp:274] Network initialization done.
/home/nvidia/.local/lib/python2.7/site-packages/skimage/io/_io.py:49: UserWarning: as_grey has been deprecated in favor of as_gray
warn('as_grey has been deprecated in favor of as_gray')
/home/nvidia/.local/lib/python2.7/site-packages/skimage/transform/_warps.py:105: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.
warn("The default mode, 'constant', will be changed to 'reflect' in "
/home/nvidia/.local/lib/python2.7/site-packages/skimage/transform/_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
Segmentation fault (core dumped)

Crash log:
0000007f967836f8 in std::vector<float, std::allocator > caffe::get_region_box(float*, std::vector<float, std::allocator >, int, int, int, int, int, int) () from /home/nvidia/caffe/python/caffe/../../build/lib/libcaffe.so.1.0.0-rc3

Can you please let me know what am missing?