Python AttrDict.data_dir示例

示例#1

#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from utils.util import AttrDict, merge_cfg_from_args, get_arguments
import os

args = get_arguments()
cfg = AttrDict()

# 待预测图像所在路径
cfg.data_dir = os.path.join("data", "testing_images")
# 待预测图像名称列表
cfg.data_list_file = os.path.join("data", "test_id.txt")
# 模型加载路径
cfg.model_path = args.example
# 预测结果保存路径
cfg.vis_dir = "result"

# 预测类别数
cfg.class_num = 20
# 均值, 图像预处理减去的均值
cfg.MEAN = 0.406, 0.456, 0.485
# 标准差，图像预处理除以标准差
cfg.STD = 0.225, 0.224, 0.229

# 多尺度预测时图像尺寸

示例#2

#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from utils.util import AttrDict, merge_cfg_from_args, get_arguments
import os

args = get_arguments()
cfg = AttrDict()

# 待预测图像所在路径
cfg.data_dir = os.path.join(args.example, "data", "test_images")
# 待预测图像名称列表
cfg.data_list_file = os.path.join(args.example, "data", "test.txt")
# 模型加载路径
cfg.model_path = os.path.join(args.example, "model")
# 预测结果保存路径
cfg.vis_dir = os.path.join(args.example, "result")

# 预测类别数
cfg.class_num = 2
# 均值, 图像预处理减去的均值
cfg.MEAN = 127.5, 127.5, 127.5
# 标准差，图像预处理除以标准差
cfg.STD = 127.5, 127.5, 127.5
# 待预测图像输入尺寸
cfg.input_size = 1536, 576

示例#3

# -*- coding: utf-8 -*-
import os

from utils.util import AttrDict, get_arguments, merge_cfg_from_args

args = get_arguments()
cfg = AttrDict()

# 待预测图像所在路径
cfg.data_dir = os.path.join(args.example, "data", "SemirClothes")
# cfg.data_dir = 'E:\\SemirClothes'
# 待预测图像名称列表
cfg.data_list_file = os.path.join(args.example, "data", "semirlist.txt")
# 模型加载路径
cfg.model_path = os.path.join(args.example, "ACE2P")
# 预测结果保存路径
cfg.vis_dir = os.path.join(args.example, "result_semirclothe")

# 预测类别数
cfg.class_num = 20
# 均值, 图像预处理减去的均值
cfg.MEAN = 0.406, 0.456, 0.485
# 标准差，图像预处理除以标准差
cfg.STD = 0.225, 0.224, 0.229

# 多尺度预测时图像尺寸
cfg.multi_scales = (377, 377), (473, 473), (567, 567)
# 多尺度预测时图像是否水平翻转
cfg.flip = True

merge_cfg_from_args(args, cfg)