• Hardware Platform (Jetson / GPU) GTX 1650
• DeepStream Version
• TensorRT Version22.214.171.124
• NVIDIA GPU Driver Version (valid for GPU only) 450.51
• Issue Type( questions, new requirements, bugs) question
I want to use slowfast_4x16_resnet50_kinetics400 in deepstream but as feature extractor not a classifier. This model is a 400 classes classifier, but I don’t use this output, instead I am using the output of an earlier layer. How can I achieve that in deepstream?.
The model is in MXNET, in my code I call it like that, note that feat_ext=True
from gluoncv.model_zoo import get_model net = get_model(name='slowfast_4x16_resnet50_kinetics400', nclass=400, pretrained=True, feat_ext=True, num_segments=1, num_crop=1)
I want to do the same thing in deepstream.