Comments (6)
Check #30
In addition, if you have 3 GPUs, use them all: --num_gpu 3
. I assume with those 3 GPUs it should run around 9-15 fps? Please, let me know the FPS it tells you so I can check it is right.
Sometimes there is only one person in the picture, but it outout 2 body data?? There might appear false positives, no method (so far) is 100% accurate.
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@gineshidalgo99 Thanks
But now I have the same problem
status == CUDNN_STATUS_SUCCESS (3 vs. 0) CUDNN_STATUS_BAD_PARAM
status == CUDNN_STATUS_SUCCESS (2 vs. 0) CUDNN_STATUS_BAD_PARAM
...
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You are using a PASCAL architecture graphics card (GTX 1080), together with a Kepler (I think) architecture (GTX 750). Since they are different architecture models, the problem might be that CUDA and/or cuDNN is only working for one kind of model, not for both.
Please, check that you can run CUDA/cuDNN programs with 2 GPUs of different category at the same time, since I am not sure. I know it works with model of the same series (e.g. 1080 and 1050, or 980 and 970). Not sure about different series (the series is indicated by all digits but the last 2: 10XX, 9XX, 8XX, etc.).
Can you run the program with each GPU independently?
./build/examples/openpose/rtpose.bin --image_dir ./data/ --write_pose_json ./output/ --num_gpu 1 --num_gpu_start 0
./build/examples/openpose/rtpose.bin --image_dir ./data/ --write_pose_json ./output/ --num_gpu 1 --num_gpu_start 1
./build/examples/openpose/rtpose.bin --image_dir ./data/ --write_pose_json ./output/ --num_gpu 1 --num_gpu_start 2
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@gineshidalgo99 Thanks.
Yes, I can run the program with each GPU independently.
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Then I assume is a Nvidia mismatch driver issue, not sure if there is solution for that, sorry! Post if you find any solution for it. Meanwhile I will close it since we cannot further help you.
About the best choice for you: GTX 1080 should run around 6-10 FPS while each 750 around 1-3 FPS. Use the GTX standalone, it should be faster than both 750. Post if your speed is smaller than these numbers, it should not.
About speed-up, check when we release the version 1.0.0rc3 / 1.0.0 (not sure the name yet), it will have a ~30% speed up.
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Thanks
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