I had try to trained and deployment of model with the help of using TLT and deepstream but i cannot able
to get boxes around the object.
–> follow the process as provided in TLT container.
–> I had use multi-gpu training script for training the model.The number of GPUs which i used will 8.
–> I can able to generate “resnet18_detector.trt”, “calibration.tensor”, “resnet18_detector.etlt”, “calibration.bin” all these four file.In detected
result i was found boundary boxes aroud the object.
–> All these four file which generated was exported for deployment with deepstream.The deployment made with the example
found at “/root/deepstream_sdk_v4.0.1_x86_64/sources/apps/sample_apps/deepstream-test1”.
–> I had also made some small changes in the file.
–> I was tried to test these result with the help of sample images.
when used with deepstream i was found no bounding boxes appears or boxes in wrong place in INT8 mode( with network-mode=1) and FP32 mode( with network-mode=0) respectively.
Frameworks used for Training : nvcr.io/nvidia/tlt-streamanalytics : v1.0_py2
Frameworks used for Deployment: nvcr.io/nvidia/deepstream : 4.0.1-19.09-devel