Using maskrcnn from tlt v2, on jetson, following the notebook training in the user guide.
— NOT USING DEEPSTREAM —
Say I managed to convert (using tlt-converter) the model . How do I parse the results in my c/c++ code ? That is, I enqueue the input to the model, and copy the results (say using cudaMemcpyAsync) to host buffer. What format is the data? (in classification its easy - prob/class, in detection also ok - class,prob and bb) Is there any documentation on this ? Just to make clear - I am not using DeepStream.
Another quick q - can I change the input size of the model in the maskrcnn_train_resnet50.txt ? I mean, is it size insensitive like YOLO (up to the x32 multiplication ) ?
Thanks for the help !