Comments (2)
This problem is mainly caused by openCV version difference as reported in CMU-Perceptual-Computing-Lab/caffe_rtpose#2 and CMU-Perceptual-Computing-Lab/caffe_rtpose#5. We made a commit in e1388f7 Did you use the updated version? One way to debug the issue is to turn off the display and write out the result, e.g., ./build/examples/rtpose/rtpose.bin --video test.mp4 --no_display --write_frames output/ Please let us know if you meet the same problem
from realtime_multi-person_pose_estimation.
Hi again,
thank you for your response and sorry for the long pause, I was trying different things to solve this issue based on your feedback.
I have tried various things in the meantime and fortunately today I have finally got it to work!
I am not sure what exactly was the problem but, for the record, I write here my current (working) configuration.
I now use the latest commits of caffe_rtpose (122d9db) and Realtime_Multi-Person_Pose_Estimation
(4fa16c5), with CUDA 8.0, cuDNN 5.1.5, OpenCV 2.4.12 and NVIDIA graphics driver version 375.39.
Now it works perfectly also with the display turned on.
Thank you again for your feedback!
from realtime_multi-person_pose_estimation.
Related Issues (20)
- training loss is strange,for openpose body_25 model training HOT 9
- training HOT 3
- training of images with no humans HOT 1
- Retraining with lesser COCO images.
- Pretrained model? HOT 2
- Is it ok to use "CMU-Perceptual-Computing-Lab/caffe" instead of "caffe_train" for training?
- How can I find models and papers about body25?
- Problem about train on own dataset HOT 3
- Dataset problem
- Low resolution images
- Limb width is hardcoded?
- bug when generating mask
- mxnet version
- MMC demo
- Extracting keypoints to json file HOT 2
- finetuning the model HOT 12
- heatmap evaluatin metric HOT 1
- bash getData.sh wget didn't work HOT 4
- Error in gason.m
- Where can I download matconvnet_coco_openpose_model.mat ? HOT 1
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from realtime_multi-person_pose_estimation.