import torchvision import torch class M(torch.nn.Module): def __init__(self): super().__init__() pass def forward(self, x, count): out = torchvision.ops.batched_nms(x[0], x[1], x[2], x[3]) return out model = M() torch.manual_seed(1) args = ( ( torch.rand(20, 4...
Limited evaluation to date suggests that these systems support health programmes with a powerful and user-friendly operational tool for evidence-based decision making. Maps are an important SDSS output that provide a visual aid for decision making [170]. An example of map used to monitor LLIN ...