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"""File for accessing YOLOv5 via PyTorch Hub https://pytorch.org/hub/ |
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Usage: |
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import torch |
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model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True, channels=3, classes=80) |
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""" |
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dependencies = ['torch', 'yaml'] |
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import os |
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import torch |
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from models.yolo import Model |
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from utils import google_utils |
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def create(name, pretrained, channels, classes): |
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"""Creates a specified YOLOv5 model |
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Arguments: |
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name (str): name of model, i.e. 'yolov5s' |
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pretrained (bool): load pretrained weights into the model |
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channels (int): number of input channels |
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classes (int): number of model classes |
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Returns: |
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pytorch model |
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""" |
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config = os.path.join(os.path.dirname(__file__), 'models', '%s.yaml' % name) |
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model = Model(config, channels, classes) |
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if pretrained: |
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ckpt = '%s.pt' % name |
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google_utils.attempt_download(ckpt) |
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state_dict = torch.load(ckpt, map_location=torch.device('cpu'))['model'].state_dict() |
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state_dict = {k: v for k, v in state_dict.items() if model.state_dict()[k].numel() == v.numel()} |
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model.load_state_dict(state_dict, strict=False) |
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return model |
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def yolov5s(pretrained=False, channels=3, classes=80): |
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"""YOLOv5-small model from https://github.com/ultralytics/yolov5 |
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Arguments: |
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pretrained (bool): load pretrained weights into the model, default=False |
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channels (int): number of input channels, default=3 |
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classes (int): number of model classes, default=80 |
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Returns: |
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pytorch model |
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""" |
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return create('yolov5s', pretrained, channels, classes) |
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def yolov5m(pretrained=False, channels=3, classes=80): |
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"""YOLOv5-medium model from https://github.com/ultralytics/yolov5 |
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Arguments: |
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pretrained (bool): load pretrained weights into the model, default=False |
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channels (int): number of input channels, default=3 |
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classes (int): number of model classes, default=80 |
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Returns: |
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pytorch model |
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""" |
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return create('yolov5m', pretrained, channels, classes) |
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def yolov5l(pretrained=False, channels=3, classes=80): |
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"""YOLOv5-large model from https://github.com/ultralytics/yolov5 |
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Arguments: |
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pretrained (bool): load pretrained weights into the model, default=False |
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channels (int): number of input channels, default=3 |
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classes (int): number of model classes, default=80 |
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Returns: |
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pytorch model |
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""" |
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return create('yolov5l', pretrained, channels, classes) |
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def yolov5x(pretrained=False, channels=3, classes=80): |
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"""YOLOv5-xlarge model from https://github.com/ultralytics/yolov5 |
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Arguments: |
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pretrained (bool): load pretrained weights into the model, default=False |
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channels (int): number of input channels, default=3 |
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classes (int): number of model classes, default=80 |
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Returns: |
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pytorch model |
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""" |
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return create('yolov5x', pretrained, channels, classes) |
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