Open tetmin opened 8 years ago
There might be these difference:
1) Network itself: we just add a new model that runs faster and scores higher on MPI. Please pull repo and run testing/get_model.sh
again.
2) We only use single scale testing for the real-time system. You can reduce the number of scales to be search in config.m
.
For above please see this demo ipython notebook for more details and explanations.
3) We used 4 GPUs (all Titan X) to scale up the throughput.
4) We used CUDA to accelerate other image processing, and result rendering etc, in the real-time system.
Finally, no we didn't use any temporal information in the video. All results shown are per-frame detection.
Hi Shih-En
Thank you for sharing your great work. 1) I am wondering which model is the fastest for pose estimation? You mentioned in this thread that you do have a faster and more accurate model. an you specify the name? 2) It seems the llink of python notebook is corrupt. Where can I find details regarding the network speed?
Thank you
Hello everyone, In gpu mode, one nvidia gtx 1080 which has 8 g graphics memory can use to train the network and real-time forecasting?
If anyone knows, please tell me, much thanks!
Hi Shih-En,
Thanks so much for sharing your work. I've implemented your code & it's working great, but I don't get anywhere near realtime performance using a very good GPU. How did you achieve your videos with the realtime performance?
Also, are you using any bayesian filtering for tracking the estimates?
Best regards, Tom