Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Jetson Xavier AGX
• DeepStream Version 6.0.1
• JetPack Version (valid for Jetson only) 4.6
• TensorRT Version 8.2.1
When I change
config_infer_primary.txt to a load different model (
onnx-file, labelfile-path, num-detected-classes), it keeps detecting the previous model. Important, I am describing the objects that are detected at the image, not labels in the bounding boxes. The latter is consistent to the label file I provide.
I have 2 YoloV5 models: (1) the web available yolov5s.pt, let’s call it A.pt, it has 80 classes; (2) and my custom model epi.pt, let’s call it B.pt, it has 8 classes. For each one I export .pt to .onnx and its corresponding label.txt.
Supose I run deepstream-app -c deepstream_app_config.txt, with this in the config_infer_primary.txt:
model-engine-file=model_b1_gpu0_fp32.engine onnx-file=A.onnx labelfile-path=labelA.txt num-detected-classes=80
It detects the objects from A and places the bounding box’s labels from A.
Now, when I change do the model to B:
model-engine-file=model_b1_gpu0_fp32.engine onnx-file=B.onnx labelfile-path=labelB.txt num-detected-classes=8
It detects the objects from A and places the bounding box’s labels from B ?! Be careful again, I am not talking about the labels from the bounding boxes, I am concerning the objects that are being detected. I don’t understand that.
Moreover, if I force a “file not found” error with the model-engine-file by providing a file that does not exists, I can switch between model A and B, back and forth, and everything works perfect. But why?
Thus, what it seems is that the absence of an model-engine-file is forcing some kind of reset/default values the allows the switched model to be noted, and to provide the correct detections.
What am I missing here?