Closed Shaluols closed 3 years ago
Hi @Shaluols
Thanks for your interest in our work. Here are the answers:
For training the networks, sampling and fitting, you can refer to the loss functions in net.py https://github.com/lmb-freiburg/Multimodal-Future-Prediction/blob/d65d72f8ab80146fc3e7dac3ddd3076e2c376a94/net.py#L66 https://github.com/lmb-freiburg/Multimodal-Future-Prediction/blob/d65d72f8ab80146fc3e7dac3ddd3076e2c376a94/net.py#L138
Hope this helps, Best,
Thanks for your super clear reply!
Feel free to re-open the issue if you have more questions.
Hi,
Thanks for your wonderful work! I am trying to replicate the training with the SSD dataset. Could I ask:
hyps, hyps_sigmas
in the given test.py file to compute the loss for the sampling neural network? These two parameters are outputs from the make_graph function:means, sigmas, mixture_weights, bounded_log_sigmas, hyps, hyps_sigmas, input_blob, output_blob, tmp = session.run(output, feed_dict={x_objects: objects, x_imgs: imgs})
Thank you in advance for your help!