Pharos is a plug-in of TensorBay SDK used for local visualization. After finishing the dataset organization <features/dataset_management:Organize Dataset>, users can visualize the organized ~tensorbay.dataset.dataset.Dataset instance locally using Pharos. The visualization result can help users to check whether the dataset is correctly organized.
To install Pharos by pip, run the following command:
$ pip3 install pharosTake the BSTLD <quick_start/examples/BSTLD:Organize Dataset> as an example:
../../../docs/code/pharos.py
../../../docs/code/pharos.py
Open the returned URL to see the visualization result.
The visualized result of the BSTLD dataset.
Note
By default, a pharos server runs locally at 127.0.0.1:5000 and is accessible only from localhost. To change the default setting, the following arguments in visualize() can be set:
port: the port the server runs inhost: the host ip to listen on
Pharos supports accessing the server remotely via a web browser by setting host to "0.0.0.0". Then open http://{external IP}:{port} in the local browser to get the page. The external IP is external ip of the server which pharos runs on.
../../../docs/code/pharos.py