When I run this line in deepstream
cv::addWeighted(color, alpha, roi, 1.0 - alpha, 0.0, roi);
Memory usage by deepstream % is 205 and skyrocketed as shown in attached image.
If I close that line, the mem % usage by deepstream is 11.5% only.
What could be issue?
Can you share the reproduce step? So I can check it in my side.
Thanks.
I used deepstream-app.
Then gstdsexample is enabled in config file as
[ds-example]
enable=1
#processing-width=960
#processing-height=544
full-frame=1
blur-objects=0
unique-id=15
Then full-frame is enabled and inside the following function
static GstFlowReturn
gst_dsexample_transform_ip (GstBaseTransform * btrans, GstBuffer * inbuf){}
You can plot a rectangle with a transparency as
cv::Mat roi = in_mat(cv::Rect(x1, y1, x2-x1, y2-y1 ));
cv::Mat color(roi.size(), CV_8UC4, cv::Scalar( 0, 0, 255 ));
double alpha = 0.3;
cv::addWeighted(color, alpha, roi, 1.0 - alpha, 0.0, roi);
I used TOP to see memory %.
At the same time, when you check the issue can please check also why this color value cv::Scalar( 0, 0, 255 ) doesn’t reflect in display? Say I like to change to red, but it shows gray only.
Can you share the patch or gstdsexample.cpp which can reproduce your issue?
Crazy busy. Will reproduce it later and feedback you. Thanks.
@kesong Thanks. Because I need to deploy the solution on Friday. I like to settle before deployment.
Please try latest release DS5.1. Latest release always has better quality.
I tried latest version. Speed is definitely much faster. But memory % still increasing.
OpenCV will excute on CPU. Suggest to use other HW accelerated function if possible.
How can I do that?
Can you describe the purpose of the plugin?
I need to get tracking bounding boxes of detected objects and do next level of decision making. Then I also need to draw additional boxes on image.
Is it enough for you with below plugin? Or you need more feature for the plugin?
Gst-nvdsosd — DeepStream 5.1 Release documentation (nvidia.com)
How can I use this plugin? I need to use c++ vector. So in .c file, I can’t use c++ vector, right?
Did you try use nvdsanalytics to draw rectangle, trigger object move in this rectangle and get bounding of object
example test5 custom: deepstream-occupancy-analytics/config at master · NVIDIA-AI-IOT/deepstream-occupancy-analytics · GitHub
Thanks I can get bounding box. Just have memory issue in plotting rectangles.
Is it possible to use below API for your task? I think below API shouldn’t have memory issue.