Runing 2 cuda processes simultaneously lowers fps
I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)
For measuring the FPS, I have written a simple python script that processes video files.
When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.
When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.
Why exactly does this happen? Is it processing sequentially, and not parallely?
I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?
python gpu yolo darknet
asked Nov 22 '18 at 10:03
BlueBlue
188117
add a comment |
I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)
For measuring the FPS, I have written a simple python script that processes video files.
When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.
When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.
Why exactly does this happen? Is it processing sequentially, and not parallely?
I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?
python gpu yolo darknet
asked Nov 22 '18 at 10:03
BlueBlue
188117
one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21
add a comment |
I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)
For measuring the FPS, I have written a simple python script that processes video files.
When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.
When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.
Why exactly does this happen? Is it processing sequentially, and not parallely?
I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?
python gpu yolo darknet
asked Nov 22 '18 at 10:03
BlueBlue
188117
I have used the YOLO repository to train a model.
GPU - GTX 1080 TI (12GB VRAM)
For measuring the FPS, I have written a simple python script that processes video files.
When I run the python script from one terminal on a GTX 1080 TI, I get an FPS of 109 frames per second.
When I run the python script from 2 separate terminals simultaneously, they both print an FPS of 90 frames per second.
Why exactly does this happen? Is it processing sequentially, and not parallely?
I would like to run 2 detection streams with no loss in FPS. Is there a way to do so, some kind of optimization maybe?
python gpu yolo darknet
python gpu yolo darknet
asked Nov 22 '18 at 10:03
BlueBlue
188117
asked Nov 22 '18 at 10:03
BlueBlue
188117
edited Nov 23 '18 at 5:11
Blue
asked Nov 22 '18 at 10:03
BlueBlue
188117
asked Nov 22 '18 at 10:03
BlueBlue
188117
asked Nov 22 '18 at 10:03
BlueBlue
188117
188117
one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21
add a comment |
one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21
one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21
one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21
add a comment |
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one possibility: get two GPUs
– Robert Crovella
Nov 22 '18 at 15:21