當前位置: 首頁>>代碼示例>>Python>>正文

Python cfg.CUDA屬性代碼示例

本文整理匯總了Python中model.utils.config.cfg.CUDA屬性的典型用法代碼示例。如果您正苦於以下問題：Python cfg.CUDA屬性的具體用法？Python cfg.CUDA怎麽用？Python cfg.CUDA使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類model.utils.config.cfg的用法示例。


在下文中一共展示了cfg.CUDA屬性的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('exp_name', type=str, default=None, help='experiment name')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='detnet59, etc',
                        default='detnet59', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models', default="weights")
    parser.add_argument('--image_dir', dest='image_dir',
                        help='directory to load images', default="demo_images/",
                        type=str)
    parser.add_argument('--result_dir', dest='result_dir', help='directory to save visual result', default="vis_results/",
                        type=str)
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=4, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=6, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10000, type=int)
    parser.add_argument('--soft_nms', help='whether use soft nms', action='store_true')
    parser.add_argument('--cascade', help='whether use cascade', action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')

    args = parser.parse_args()
    return args
開發者ID:guoruoqian，項目名稱:cascade-rcnn_Pytorch，代碼行數:47，代碼來源:demo.py

示例2: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('exp_name', type=str, default=None, help='experiment name')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='detnet59, etc',
                        default='detnet59', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models', default="/srv/share/jyang375/models",
                        type=str)
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--ls', dest='large_scale',
                        help='whether use large imag scale',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, 1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--bs', dest='batch_size',
                        help='batch_size',
                        default=1, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    parser.add_argument('--soft_nms', help='whether use soft nms', action='store_true')
    parser.add_argument('--cascade', help='whether use soft nms', action='store_true')
    args = parser.parse_args()
    return args
開發者ID:guoruoqian，項目名稱:cascade-rcnn_Pytorch，代碼行數:57，代碼來源:test_net.py

示例3: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='imagenet_vid', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/res101.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='res101',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models',
                      default="output/models")
  parser.add_argument('--image_dir', dest='image_dir',
                      help='directory to load images for demo',
                      default="images")
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  parser.add_argument('--vid_list', dest='vid_list',
                      help='List of input videos.',
                      nargs='+', required=True)
  args = parser.parse_args()
  return args
開發者ID:Feynman27，項目名稱:pytorch-detect-to-track，代碼行數:57，代碼來源:demo.py

示例4: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='imagenet_vid', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/res101.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='res101',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models', default="/mnt/models",
                      type=str)
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--ls', dest='large_scale',
                      help='whether use large imag scale',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=16470, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  args = parser.parse_args()
  return args
開發者ID:Feynman27，項目名稱:pytorch-detect-to-track，代碼行數:51，代碼來源:test_net.py

示例5: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='vgg16, res50, res101, res152',
                        default='res101', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models',
                        default="/srv/share/jyang375/models")
    parser.add_argument('--image_dir', dest='image_dir',
                        help='directory to load images for demo',
                        default="images")
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, '
                             '1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--bs', dest='batch_size',
                        help='batch_size',
                        default=1, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    parser.add_argument('--webcam_num', dest='webcam_num',
                        help='webcam ID number',
                        default=-1, type=int)

    args = parser.parse_args()
    return args
開發者ID:ucbdrive，項目名稱:3d-vehicle-tracking，代碼行數:59，代碼來源:demo.py

示例6: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='vgg16, res50, res101, res152',
                        default='res101', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models', default="models",
                        type=str)
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--ls', dest='large_scale',
                        help='whether use large imag scale',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, '
                             '1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    parser.add_argument('--anno', dest='anno',
                        choices=['val', 'test', 'train'],
                        default='val', type=str)
    args = parser.parse_args()
    return args
開發者ID:ucbdrive，項目名稱:3d-vehicle-tracking，代碼行數:55，代碼來源:test_net.py

示例7: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/vgg16.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models',
                      default="/srv/share/jyang375/models")
  parser.add_argument('--image_dir', dest='image_dir',
                      help='directory to load images for demo',
                      default="images")
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  parser.add_argument('--webcam_num', dest='webcam_num',
                      help='webcam ID number',
                      default=-1, type=int)

  args = parser.parse_args()
  return args
開發者ID:twangnh，項目名稱:Distilling-Object-Detectors，代碼行數:58，代碼來源:demo.py

示例8: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/vgg16.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models', default="./temp",
                      type=str)
  parser.add_argument('--load_name', dest='load_name',
                      help='the model to eval', default="",
                      type=str)
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--ls', dest='large_scale',
                      help='whether use large imag scale',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  parser.add_argument('--gpu',
                      help='gpu',
                      default=0, type=int)

  args = parser.parse_args()
  return args
開發者ID:twangnh，項目名稱:Distilling-Object-Detectors，代碼行數:61，代碼來源:test_net.py

示例9: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='vgg16, res50, res101, res152',
                        default='res101', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models',
                        default="/srv/share/jyang375/models")
    parser.add_argument('--image_dir', dest='image_dir',
                        help='directory to load images for demo',
                        default="images")
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, 1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--bs', dest='batch_size',
                        help='batch_size',
                        default=1, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    parser.add_argument('--webcam_num', dest='webcam_num',
                        help='webcam ID number',
                        default=-1, type=int)

    args = parser.parse_args()
    return args
開發者ID:princewang1994，項目名稱:RFCN_CoupleNet.pytorch，代碼行數:58，代碼來源:demo.py

示例10: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('--arch', dest='arch', default='rcnn', choices=['rcnn', 'rfcn', 'couplenet'])
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='vgg16, res50, res101, res152',
                        default='res101', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models', default="save",
                        type=str)
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--ls', dest='large_scale',
                        help='whether use large imag scale',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, 1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--bs', dest='batch_size',
                        help='batch_size',
                        default=1, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    args = parser.parse_args()
    return args
開發者ID:princewang1994，項目名稱:RFCN_CoupleNet.pytorch，代碼行數:55，代碼來源:test_net.py

示例11: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/vgg16.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models', default="/srv/share/jyang375/models",
                      nargs=argparse.REMAINDER)
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  args = parser.parse_args()
  return args
開發者ID:jwyang，項目名稱:fpn.pytorch，代碼行數:51，代碼來源:test_net.py

示例12: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
    """
    Parse input arguments
    """
    parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
    parser.add_argument('exp_name', type=str, default=None, help='experiment name')
    parser.add_argument('--dataset', dest='dataset',
                        help='training dataset',
                        default='pascal_voc', type=str)
    parser.add_argument('--cfg', dest='cfg_file',
                        help='optional config file',
                        default='cfgs/vgg16.yml', type=str)
    parser.add_argument('--net', dest='net',
                        help='vgg16, res50, res101, res152',
                        default='res101', type=str)
    parser.add_argument('--set', dest='set_cfgs',
                        help='set config keys', default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument('--load_dir', dest='load_dir',
                        help='directory to load models', default="/srv/share/jyang375/models",
                        type=str)
    parser.add_argument('--cuda', dest='cuda',
                        help='whether use CUDA',
                        action='store_true')
    parser.add_argument('--ls', dest='large_scale',
                        help='whether use large imag scale',
                        action='store_true')
    parser.add_argument('--mGPUs', dest='mGPUs',
                        help='whether use multiple GPUs',
                        action='store_true')
    parser.add_argument('--cag', dest='class_agnostic',
                        help='whether perform class_agnostic bbox regression',
                        action='store_true')
    parser.add_argument('--parallel_type', dest='parallel_type',
                        help='which part of model to parallel, 0: all, 1: model before roi pooling',
                        default=0, type=int)
    parser.add_argument('--checksession', dest='checksession',
                        help='checksession to load model',
                        default=1, type=int)
    parser.add_argument('--checkepoch', dest='checkepoch',
                        help='checkepoch to load network',
                        default=1, type=int)
    parser.add_argument('--checkpoint', dest='checkpoint',
                        help='checkpoint to load network',
                        default=10021, type=int)
    parser.add_argument('--bs', dest='batch_size',
                        help='batch_size',
                        default=1, type=int)
    parser.add_argument('--vis', dest='vis',
                        help='visualization mode',
                        action='store_true')
    parser.add_argument('--soft_nms', help='whether use soft_nms', action='store_true')
    args = parser.parse_args()
    return args
開發者ID:guoruoqian，項目名稱:FPN_Pytorch，代碼行數:56，代碼來源:test_net.py

示例13: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/vgg16.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models',
                      default="./models")
  parser.add_argument('--image_dir', dest='image_dir',
                      help='directory to load images for demo',
                      default="images")
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  parser.add_argument('--webcam_num', dest='webcam_num',
                      help='webcam ID number',
                      default=-1, type=int)

  # lighthead mode
  parser.add_argument('--lighthead', dest='lighthead',
                      help='whether to use light-head R-CNN',
                      action='store_true')

  args = parser.parse_args()
  return args
開發者ID:chengsq，項目名稱:pytorch-lighthead，代碼行數:63，代碼來源:demo.py

示例14: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Faster R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/res101_ls.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152, xception',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models', default="models",
                      type=str)
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--ls', dest='large_scale',
                      help='whether use large imag scale',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--bs', dest='batch_size',
                      help='batch_size',
                      default=1, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')

  # lighthead mode
  parser.add_argument('--lighthead', dest='lighthead',
                      help='whether to use light-head R-CNN',
                      action='store_true')
                      
  args = parser.parse_args()
  return args
開發者ID:chengsq，項目名稱:pytorch-lighthead，代碼行數:60，代碼來源:test_net.py

示例15: parse_args

# 需要導入模塊: from model.utils.config import cfg [as 別名]
# 或者: from model.utils.config.cfg import CUDA [as 別名]
def parse_args():
  """
  Parse input arguments
  """
  parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
  parser.add_argument('--dataset', dest='dataset',
                      help='training dataset',
                      default='pascal_voc', type=str)
  parser.add_argument('--cfg', dest='cfg_file',
                      help='optional config file',
                      default='cfgs/vgg16.yml', type=str)
  parser.add_argument('--net', dest='net',
                      help='vgg16, res50, res101, res152',
                      default='res101', type=str)
  parser.add_argument('--set', dest='set_cfgs',
                      help='set config keys', default=None,
                      nargs=argparse.REMAINDER)
  parser.add_argument('--load_dir', dest='load_dir',
                      help='directory to load models', default="models",
                      type=str)
  parser.add_argument('--cuda', dest='cuda',
                      help='whether use CUDA',
                      action='store_true')
  parser.add_argument('--ls', dest='large_scale',
                      help='whether use large imag scale',
                      action='store_true')
  parser.add_argument('--mGPUs', dest='mGPUs',
                      help='whether use multiple GPUs',
                      action='store_true')
  parser.add_argument('--cag', dest='class_agnostic',
                      help='whether perform class_agnostic bbox regression',
                      action='store_true')
  parser.add_argument('--parallel_type', dest='parallel_type',
                      help='which part of model to parallel, 0: all, 1: model before roi pooling',
                      default=0, type=int)
  parser.add_argument('--checksession', dest='checksession',
                      help='checksession to load model',
                      default=1, type=int)
  parser.add_argument('--checkepoch', dest='checkepoch',
                      help='checkepoch to load network',
                      default=1, type=int)
  parser.add_argument('--checkpoint', dest='checkpoint',
                      help='checkpoint to load network',
                      default=10021, type=int)
  parser.add_argument('--vis', dest='vis',
                      help='visualization mode',
                      action='store_true')
  args = parser.parse_args()
  return args
開發者ID:jwyang，項目名稱:faster-rcnn.pytorch，代碼行數:51，代碼來源:test_net.py


注：本文中的model.utils.config.cfg.CUDA屬性示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。