Error on a CPU-only machine

[stg101]

RuntimeError: Attempting to deserialize object on a CUDA device but  torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use  torch.load with map_location='cpu' to map your storages to the CPU.  

According to the torch doc it is needed to provide a map_location when a gpu saved model is loaded on a cpu.

Changing line 76 in trackers/tracker.py solves the problem :

    model.load_state_dict(torch.load(model_path, map_location=('cpu'
                   if str(self.device) == 'cpu' else None)))

[xl-sr]

thanks! its updated now