From f471492efb7372ea53567e4d434301c8e735f975 Mon Sep 17 00:00:00 2001 From: Gines Date: Fri, 26 May 2017 10:13:14 -0400 Subject: [PATCH] Update installation.md-FAQ --- doc/installation.md | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/doc/installation.md b/doc/installation.md index 075a5923..83587263 100644 --- a/doc/installation.md +++ b/doc/installation.md @@ -118,5 +118,16 @@ If you choose to visualize a body part or a PAF (Part Affinity Field) heat map w ## FAQ -Q: Out of memory error - After installing OpenPose, I get an out of memory error, similar to: `Check failed: error == cudaSuccess (2 vs. 0) out of memory`. -A: Most probably cuDNN is not installed/enabled, the default Caffe model uses >12 GB of GPU memory, cuDNN reduces it to ~1.5 GB. +**Q: Out of memory error** - I get an error similar to: `Check failed: error == cudaSuccess (2 vs. 0) out of memory`. + +**A**: Most probably cuDNN is not installed/enabled, the default Caffe model uses >12 GB of GPU memory, cuDNN reduces it to ~1.5 GB. + + +**Q: Low speed** - OpenPose is quite slow, is it normal? How can I speed it up? + +**A**: Check the Benchmark to discover the approximate speed of your graphics card: [https://github.com/CMU-Perceptual-Computing-Lab/openpose#openpose-benchmark](https://github.com/CMU-Perceptual-Computing-Lab/openpose#openpose-benchmark). Some speed tips: + + 1. Use cuDNN 5.1 (cuDNN 6 is ~10% slower). + 2. If you have more than 1 GPU, set `--num_gpu`. + 3. Reduce the `--net_resolution` (e.g. to 320x176) (lower accuracy). + 4. Use the `MPI_4_layers` model (lower accuracy and lower number of parts). -- GitLab