Function map_range_val

utils/general_util.py:13–17

( input_val, input_start, input_end,  output_start,  output_end)

import torchvision.transforms as transforms
import torchvision.transforms.functional as F
def map_range_val( input_val, input_start, input_end,  output_start,  output_end):
    # input_clamped=torch.clamp(input_val, input_start, input_end)
    input_clamped=max(input_start, min(input_end, input_val))
    # input_clamped=torch.clamp(input_val, input_start, input_end)
    return output_start + ((output_end - output_start) / (input_end - input_start)) * (input_clamped - input_start)

def batched_index_select(t, dim, inds):
    dummy = inds.unsqueeze(2).expand(inds.size(0), inds.size(1), t.size(2))