cspresnet_50_cls(pretrained: bool | str = False, weights: CSPResNet50Weights | None = None, overrides: object = {})CSPResNet-50 image classifier — paper Table 1, 21.6M params,
ImageNet-1k acc@1 ~76.2% (timm ra_in1k recipe).
Model Size
Parameters
pretrainedbool or str= FalseFalse returns randomly-initialised weights; True loads
the default entry of CSPResNet50Weights; a string
selects a named entry from that enum.Explicit weight-enum member overriding
pretrained.**overridesobject= {}Per-field overrides forwarded to
CSPNetConfig (e.g.
num_classes=10 to retarget the head).Returns
CSPNetForImageClassificationThe configured classifier.
Notes
Reference: Wang et al., "CSPNet: A New Backbone that can Enhance Learning Capability of CNN", CVPRW 2020 (arXiv:1911.11929).