CoolGua

So far as I tried, setting numpy.random.seed() and seed in sample_points_poisson_disk() could help reproduce results. e.g. codes here: https://github.com/zhan-xu/RigNet/blob/master/geometric_proc/common_ops.py#L50 samples = mesh.sample_points_poisson_disk(number_of_points=4000, seed=123)

Nothing else sorry...I could get completely same results each run after setting these two seeds. Maybe you could check the input to RigNet(in create_single_data()) first? As mentioned by the author,...