I’m working with:
- Jetson Xavier NX
- Deepstream 5.0
- Python and RSTP cameras
I’m using the model in samples/models/PrimaryDetector/resnet10 as it is to identify cars that enter a forbidden area.
I have seen that the model works very well on cars that are very close to the camera (like in the sample videos: around 3-4mt) or kinda far away as I tested with my RSTP camera (50mt). However, it tends to miss detections around some distance in the middle (10mt or so).
Is there a recommended distance in which this pretrained model (As it is, with no retraining) works best?