Please provide complete information as applicable to your setup.
**• Hardware Platform: Jetson nano
**• DeepStream Version: 6.0
**• JetPack Version • TensorRT Version • NVIDIA GPU Driver Version (valid for GPU only) • Issue Type( questions, new requirements, bugs) • How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
[dstest2_pgie_config.txt] pgie.txt (1.2 KB)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
I used nvidia peoplenet for detecting full-length body and face and developed a gender classifier as the secondary network. When I set the operate-on-class-ids=1 to pass the face bounding box to the gender classifier nothing happens and there is no gender associated with the face. When the value is set to 0 (person is passed over to the classifier) then I can see the gender label appearing next to the person object (although this is not the proper use as I trained the gender classifier on faces only). Can you please help with this issue.
I fixed the issue as 1 refers to bag class and not face, but now the problem is that the classifier is always predicting Male gender for all the persons. Any suggestion?
I developed my model on TAO and the validation results are pretty high and I created te etlt file using the TAO exporter. Any idea how can I control the size of the image that is passed through to the sgie inference?
As I already explained, I entered all the required parameters as requested but still nothing happened. I tested with another video (with larger faces) and the classification doesn’t seem to work at all for this case. Can you please have a look at my config files (I attached them to my post) and tell what should I change if any
There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks
Please do not use “mean-file” and “offsets” at the same time. There is no calibration file, so the “network-mode” can not be INT8.
You set “operate-on-class-ids=1” in sgie.txt and your PGIE is peoplenet, we don’t know whether it is the sample peoplenet from TAO(PeopleNet | NVIDIA NGC), if it is, the peoplenet class id 1 means “bag”, do you want to classify the “bag”?
For other parameters, since we don’t know about your model, please check with the guy who provide the model to you.