Open Borda opened 5 years ago
Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks. What is the top-level directory of the model you are using Have I written custom code TensorFlow installed from Exact command to reproduce
What is the top-level directory of the model you are using
there is no such directory, it is downloaded on the fly to the same folder as the code is running
Have I written custom code
kind of, I took inspiration from referred post and adjust it to minimum
TensorFlow installed from
pip
Exact command to reproduce
run the attached code in PyCharm debugger
@tensorflowbutler ^^
@tensorflowbutler @gowthamkpr any update here?
I want to run multiple object detection instances on a single GPU but each of then always allocates a certain percentage of remaining GPU resources. I was playing with small pre-trained models like ssd_mobilenet_v1_coco from ZOO. I was following this tutorial.
I am wondering why the same script loading the same models takes once 70% 4GB (GTX 1050) and 66% of 11GB (RTX 2080) memory...
System information
Describe the problem
I have downloaded pre-trained simple Object detection model ssd_mobilenet_v1_coco and run prediction on a sample image. The loaded model takes once 70% 4GB (GTX 1050) and 66% of 11GB (RTX 2080) memory.
Source code / logs
I got folowing
and