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jveitchmichaelis avatar jveitchmichaelis commented on July 21, 2024

This works fine for me (using the latest versions of both repos)

data_config = parse_data_cfg(data_config_path)
model = Darknet(net_config_path, 416)
load_darknet_weights(model, weights)

transforms = [
    # Fold Conv, BN, RELU layers into one
    hl.transforms.Fold("Conv > BatchNorm > LeakyRelu", "ConvBnLeakyRelu", "Conv, Bn, LeakyRelu"),
    hl.transforms.Fold("ConvBnLeakyRelu > ConvBnLeakyRelu", "DoubleConv"),
    hl.transforms.Fold("DoubleConv > Add", "Shortcut", "Residual Block"),
    # Fold repeated blocks
    hl.transforms.FoldDuplicates(),
]

graph = hl.build_graph(model, torch.zeros(1,3,416,416), transforms=transforms)
graph = graph.build_dot()
graph.render("./yolov3", view=True, format='pdf')

from hiddenlayer.

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