Test the Realtime_multi-person_pose_estimation-master of CMU under Ubuntu

Source: Internet
Author: User

First, the first step is to compile the caffe_train-master and encounter the problem:

But in the same environment (CUDA8.0 + cudnn-8.0-linux-x64-v6.0) compiled the official caffe-master will normally pass:

Obviously is the CUDNN version of the problem, but unfortunately the Nvidia official website in the maintenance, unable to download the Cudnn5, copied from the classmate cudnn-8.0-v5.1 appeared

Check Failed:error = = Cudasuccess (ten vs. 0) Invalid device ordinal

It is puzzling that two versions of Caffe are not compiled correctly. Toss a few days have not done well, head big. Well, record here first, and so on, and then continue to record.

Test the Realtime_multi-person_pose_estimation-master of CMU under Ubuntu

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.