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@DP8 Hi,
I'm reading your work, "DroNet Learning to Fly by Driving" and "An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine". I was inspired that you use DroNet to fly nano UAV in the lab environments. But I still meet some questions.
I was using the following code to predict a single image. The model and the best weights I used was from https://github.com/uzh-rpg/rpg_public_dronet. In addition, I tested the single image from your Himax_Dataset-master/test_2/frame_26.pgm.
It's really good to test the outdoor images, but hard to get the correct results for indoor sceneries.
I was using the keras to construct the model, so I can't use your hex weights from your pulp-dronet/weights/binary/.
So may I know how you trained your DroNet for the pulp-dronet.
Did you use keras or any other dependencies and packages?
Or if you can provide the best weights of pulp-dronet which you originally generated .hex files like h5py or so forth?
@DP8 Hi,
I'm reading your work, "DroNet Learning to Fly by Driving" and "An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine". I was inspired that you use DroNet to fly nano UAV in the lab environments. But I still meet some questions.
I was using the following code to predict a single image. The model and the best weights I used was from https://github.com/uzh-rpg/rpg_public_dronet. In addition, I tested the single image from your Himax_Dataset-master/test_2/frame_26.pgm.
It's really good to test the outdoor images, but hard to get the correct results for indoor sceneries.
I was using the keras to construct the model, so I can't use your hex weights from your pulp-dronet/weights/binary/.
So may I know how you trained your DroNet for the pulp-dronet.
Did you use keras or any other dependencies and packages?
Or if you can provide the best weights of pulp-dronet which you originally generated .hex files like h5py or so forth?
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