Highly recommend you to read the following blog first, which records the whole process from "git clone" till now. It'll be helpful for you to understand my situation. 锛氾級
http://www.cnblogs.com/QingHuan/p/7270264.html
You can use the Google translation to trans it from Chinese to English.
And I'm a student from China, may be it's a little weird of my English. Hope you can forgive about this.
I want you to know that I have carefully read each issue related to my question. Thank you!
The latest clone of openpose
When running the example command of openpose, the problem occured.
I have made Caffe and Openpose successfully as the installation instruction.
The problem occured when I want to run the Quick Start.
Here's the command from Quick Start:
./build/examples/openpose/openpose.bin --image_dir examples/media/
Note: add --logging_level 0 to get higher debug information.
./build/examples/openpose/openpose.bin --image_dir examples/media/
From: https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation.md
You can click on the image and get a clearer one.
Here's the problem (without add --logging_level 0):

Here's the problem (after add --logging_level 0):

You might select multiple topics, delete the rest:
Operating system (lsb_release -a in Ubuntu): Ubuntu 16.04 LTS
CUDA version (cat /usr/local/cuda/version.txt in most cases):Cuda8
cuDNN version: 5.1.5
GPU model (nvidia-smi in Ubuntu):
| 2 Tesla K80 On | 0000:0A:00.0 Off | 0 |
| N/A 36C P8 25W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 Tesla K80 On | 0000:0B:00.0 Off | 0 |
| N/A 35C P8 29W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 4 Tesla K80 On | 0000:10:00.0 Off | 0 |
| N/A 25C P8 27W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 5 Tesla K80 On | 0000:11:00.0 Off | 0 |
| N/A 53C P0 149W / 149W | 7721MiB / 11439MiB | 99% Default |
+-------------------------------+----------------------+----------------------+
| 6 Tesla K80 On | 0000:14:00.0 Off | 0 |
| N/A 26C P8 28W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 7 Tesla K80 On | 0000:15:00.0 Off | 0 |
| N/A 61C P0 121W / 149W | 10480MiB / 11439MiB | 99% Default |
+-------------------------------+----------------------+----------------------+
| 8 Tesla K80 On | 0000:85:00.0 Off | 0 |
| N/A 54C P0 144W / 149W | 10480MiB / 11439MiB | 99% Default |
+-------------------------------+----------------------+----------------------+
| 9 Tesla K80 On | 0000:86:00.0 Off | 0 |
| N/A 30C P8 29W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 10 Tesla K80 On | 0000:89:00.0 Off | 0 |
| N/A 54C P0 144W / 149W | 11354MiB / 11439MiB | 92% Default |
+-------------------------------+----------------------+----------------------+
| 11 Tesla K80 On | 0000:8A:00.0 Off | 0 |
| N/A 33C P8 30W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 12 Tesla K80 On | 0000:8F:00.0 Off | 0 |
| N/A 26C P8 26W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 13 Tesla K80 On | 0000:90:00.0 Off | 0 |
| N/A 31C P8 28W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 14 Tesla K80 On | 0000:93:00.0 Off | 0 |
| N/A 27C P8 25W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 15 Tesla K80 On | 0000:94:00.0 Off | 0 |
| N/A 31C P8 29W / 149W | 2MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 13414 C python 140MiB |
| 0 13903 C python 140MiB |
| 5 13903 C python 7715MiB |
| 7 27044 C python 10472MiB |
| 8 27882 C python 10472MiB |
| 10 13414 C python 11346MiB |
+-----------------------------------------------------------------------------+
Caffe version: Default from OpenPose
OpenCV version: installed OpenCV 2.4.13
Generation mode (only for Ubuntu): Makefile + Makefile.config (default, Ubuntu)
Compiler (gcc --version in Ubuntu):5.4.0
Thank you sincerely!
According to https://askubuntu.com/questions/571116/cannot-connect-to-x-server-error
Add "export DISPLAY=your ip:0.0" in ~/.bashrc, source ~/.bashrc (ip is your host IP, where you wanna display plots or things like that. If you are using Windows, cmd-ipconfig, find your IP).
, the problem of "cannot connect to X server" is fixed and a new problem occurred as follow:

I can't find the resolution on the web, hope you can help me, thanks a lot!
After discussion with a Phd, I get the correct result finally.
For the "CUBLAS_STATUS_ALLOC_FAILED" problem, it's because the demo wants to use all visible devices and thus caused crash.
So here we can use this command
% CUDA_VISIBLE_DEVICES=2 ./build/examples/openpose/openpose.bin --net_resolution "160x80" --video examples/media/video.avi
to restrict the devices to be used.
For the shell of OS X is not convenient to display the window of the remote server and you have to download a specify software to connect the X server,
it's highly recommend for you to use MobaXterm in WIN10. The X server can be connected automatically.
Here's the result:

Before closing the discussion,
I want you to know that the whole process of doing this experiment is recorded in my blog.
And may be it will help you in some way.
http://www.cnblogs.com/QingHuan/p/7270264.html
It's wrote in Chinese and you can translate it using GOOGLE.
Thank you every one!
Most helpful comment
After discussion with a Phd, I get the correct result finally.
For the "CUBLAS_STATUS_ALLOC_FAILED" problem, it's because the demo wants to use all visible devices and thus caused crash.
So here we can use this command
% CUDA_VISIBLE_DEVICES=2 ./build/examples/openpose/openpose.bin --net_resolution "160x80" --video examples/media/video.avito restrict the devices to be used.
Attention for OS X users:
For the shell of OS X is not convenient to display the window of the remote server and you have to download a specify software to connect the X server,

it's highly recommend for you to use MobaXterm in WIN10. The X server can be connected automatically.
Here's the result: