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I'm doing bad thing Naisy, You'll hate me, but overall goal is quite simple. Tensor takes 5 gigs or GPU I want to create queue which will use socket.io to read data from multiple cameras and returns boxes. https://drive.google.com/drive/folders/14d50kFKWnBUaLwL7z06CF2PwHUklaJdA?usp=sharing
I have some problem with performance, I tried to mess with parameters but it makes no difference, it looks like GPU analyse takes a lot of time.
Got any idea why there might be this heart beat ? https://photos.app.goo.gl/r1srTC1cEHnw8Z4t6
I tasted it previously it was about 20FPS for one source, but now it hangs on gpu queue for half a second. I really have no idea where I should look for improvements.
camera_worker.py is just generator which reads frames from file and sends message to socket that frame is ready ( images are exchanged threw RAM DISK )
run_socketio_tensor.py is just big script which executes without include of model this big loop
socketio.py is equivalent to video or webcam..
ps. be lenient it's my first fight with python ;-) on daily bases I work with DWH/BI .
Overall I have also problem with sending first few images into gpu session, script seems to hang if I restart camera_worker.py it works, is there any special reason why it can't work from first frame?
The text was updated successfully, but these errors were encountered:
faster rcnn is really slow. Was 20 fps with faster rcnn? I think that 20 fps with faster rcnn is maximum performance on desktop gpu. If you are using Jetson, it should be slower. It is about 1 fps.
At the first frame, memory initialization also works. Therefore it is slow. If the first frame can not be delayed, you should run with dummy frame before read camera frame.
I guess I removed all what is possible to leave just loop, which takes static image from ram disk, all stats are gone, but still gpu session takes about 1 second per image or RTX 2070 and Ryzen.
When I used Your code without modification I was able to reach 20FPS. Maybe it goes threw CPU instead?
I'm doing bad thing Naisy, You'll hate me, but overall goal is quite simple. Tensor takes 5 gigs or GPU I want to create queue which will use socket.io to read data from multiple cameras and returns boxes.
https://drive.google.com/drive/folders/14d50kFKWnBUaLwL7z06CF2PwHUklaJdA?usp=sharing
I have some problem with performance, I tried to mess with parameters but it makes no difference, it looks like GPU analyse takes a lot of time.
Got any idea why there might be this heart beat ?
https://photos.app.goo.gl/r1srTC1cEHnw8Z4t6
I tasted it previously it was about 20FPS for one source, but now it hangs on gpu queue for half a second. I really have no idea where I should look for improvements.
ps. be lenient it's my first fight with python ;-) on daily bases I work with DWH/BI .
Overall I have also problem with sending first few images into gpu session, script seems to hang if I restart camera_worker.py it works, is there any special reason why it can't work from first frame?
The text was updated successfully, but these errors were encountered: