Hi, I am trying to use caffe ssd model downloaded from the official repository GitHub - weiliu89/caffe at ssd for inference. I know there is a C++ code at samples/sampleSSD. Due to some business requirements, I have to use PYTHON code for this task. Is there any python code for the same task ?
Thanks
Environment
TensorRT Version: 7.1.0 GPU Type: Jetson Nano device Nvidia Driver Version: CUDA Version: 10.2 CUDNN Version: Operating System + Version: Ubuntu 18.04 Python Version (if applicable): 3.6.9 TensorFlow Version (if applicable): PyTorch Version (if applicable): Baremetal or Container (if container which image + tag):
Relevant Files
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Hi, Thanks for the reply. I have already checked this sample. This is based on tensorflow version of ssd model. I am looking for the caffe version, which can read .caffemodel and .prototxt to do inference just like the C++ code in samples/sampleSSD.