def check_type(*args):
if not check_type.__warning_sent__:
from ppdet.utils.cli import ColorTTY
color_tty = ColorTTY()
message = "typeguard is not installed," \
+ "type checking is not available"
print(color_tty.yellow(message))
check_type.__warning_sent__ = True
def doc_parse(*args):
if not doc_parse.__warning_sent__:
from ppdet.utils.cli import ColorTTY
color_tty = ColorTTY()
message = "docstring_parser is not installed, " \
+ "argument description is not available"
print(color_tty.yellow(message))
doc_parse.__warning_sent__ = True
from ppdet.core.workspace import get_registered_modules, load_config, dump_value
from ppdet.utils.cli import ColorTTY, print_total_cfg
except ImportError as e:
if sys.argv[0].find('static') >= 0:
logger.error("Importing ppdet failed when running static model "
"with error: {}\n"
"please try:\n"
"\t1. run static model under PaddleDetection/static "
"directory\n"
"\t2. run 'pip uninstall ppdet' to uninstall ppdet "
"dynamic version firstly.".format(e))
sys.exit(-1)
else:
raise e
color_tty = ColorTTY()
try:
from docstring_parser import parse as doc_parse
except Exception:
message = "docstring_parser is not installed, " \
+ "argument description is not available"
print(color_tty.yellow(message))
try:
from typeguard import check_type
except Exception:
message = "typeguard is not installed," \
+ "type checking is not available"
print(color_tty.yellow(message))
# 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 __future__ import print_function
import re
import sys
from argparse import ArgumentParser, RawDescriptionHelpFormatter
import yaml
from ppdet.core.workspace import get_registered_modules, load_config
from ppdet.utils.cli import ColorTTY
color_tty = ColorTTY()
MISC_CONFIG = {
"architecture": "<value>",
"max_iters": "<value>",
"train_feed": "<value>",
"eval_feed": "<value>",
"test_feed": "<value>",
"pretrain_weights": "<value>",
"save_dir": "<value>",
"weights": "<value>",
"metric": "<value>",
"log_smooth_window": 20,
"snapshot_iter": 10000,
"use_gpu": True,
}