# 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 merge_cfg_from_args(args, cfg)
# -*- coding: utf-8 -*- 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", "testing_images") # 待预测图像名称列表 cfg.data_list_file = os.path.join(args.example , "data", "test_id.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") # 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)
# -*- coding: utf-8 -*-
from utils.util import AttrDict, merge_cfg_from_args, get_arguments
import os
import sys
sys.path.append("softwareOfPaddle/")
args = get_arguments()
cfg = AttrDict()
with open("connfig.txt", "r") as cof:
reader = cof.readlines()
reader = [line.rstrip("\n") for line in reader]
cfg.gpu = int(reader[1])
# 模型加载路径
cfg.model_path = reader[2]
# 预测类别数
cfg.class_num = 19
# 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 = int(reader[3].split(" ")[0]), int(reader[3].split(" ")[1])
merge_cfg_from_args(args, cfg)
# 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
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