Jhandry

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TrashDetection

like 0

• "_codecs.encode",
• "torch.nn.modules.pooling.MaxPool2d",
• "numpy.ndarray",
• "numpy.dtype",
• "__builtin__.set",
• "retinanet.utils.Bottleneck",
• "torch.nn.modules.upsampling.Upsample",
• "retinanet.utils.BBoxTransform",
• "retinanet.model.ClassificationModel",
• "retinanet.anchors.Anchors",
• "torch.nn.modules.container.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "torch.nn.modules.activation.ReLU",
• "retinanet.losses.FocalLoss",
• "torch.FloatStorage",
• "torch.LongStorage",
• "torch.device",
• "torch.nn.parallel.data_parallel.DataParallel",
• "retinanet.model.RegressionModel",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "retinanet.utils.ClipBoxes",
• "retinanet.model.ResNet",
• "retinanet.model.PyramidFeatures",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.conv.Conv2d",
• "collections.OrderedDict",
• "torch.nn.modules.activation.Sigmoid"

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