Greetings! I’m hoping to use GluonCV to extract specific objects from images. To this end, I pasted the first tutorial on Semantic Segmentation, “Getting Started with FCN Pre-trained Models,” into Jupyter Notebook and got the following two errors:
ValueError: Model fcn_resnet50_voc is not supported. Available options are…[a list of model options]
OSError: /home/ubuntu/.mxnet/datasets/voc is not a valid dir. Did you forget to initalize datasets described in
gluon-cv/scripts/datasets? You need to initialize each dataset only once.
I suspect the problem comes from my using a form of cloud platform to run my Jupyter Notebook. The directories/libraries are not directly installed on my computer. Is there anyway to get around this? How would I “initialize the dataset” in this case? That aspect wasn’t discussed in the installation guide.
Alternatively, is there another model that would work? Is this tutorial outdated?
The object detection tutorial, “Predict with pre-trained SSD models”, worked just fine.