File "C:\Python\Python37\lib\site-packages\object_detection-0.1-py3.7.egg\object_detection\utils\config_util.py", line 103, in get_configs_from_pipeline_file proto_str = f.read() File "C:\Python\Python37\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 125, in read self...
hparams = { 'attention': 'scaled_luong', 'src': 'from', 'tgt': 'to', 'vocab_prefix': os.path.join(train_dir, "vocab"), 'train_prefix': os.path.join(train_dir, "train"), 'dev_prefix': os.path.join(train_dir, "tst2012"), 'test_prefix': os.path.join(train_dir, "tst20...
python importhydrafromomegaconfimportDictConfig, OmegaConffrompathlibimportPath@hydra.main(config_path="config", config_name="config")defmain(config):running_dir =str(hydra.utils.get_original_cwd())working_dir =str(Path.cwd())print(f"The current running directory is{running_dir}")print(f"The ...
as tf import os,glob,cv2 from utils import visualization_utils as vis_util from PIL import Image import numpy as np from object_detection.utils import ops as utils_ops from utils import label_map_util # Path to frozen detection graph. This is the actualmodel that is used for the object...
File "C:\Python\Python37\lib\site-packages\object_detection-0.1-py3.7.egg\object_detection\utils\config_util.py", line 103, in get_configs_from_pipeline_file proto_str = f.read() File "C:\Python\Python37\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 125, in read ...
importsqlite3importjsonfromdatetimeimportdatetime 我们将为我们的数据库使用sqlite3,json用于从datadump加载行,然后datetime实际只是为了记录。 这不完全必要。 所以torrent 转储带有一大堆目录,其中包含实际的json数据转储,按年和月(YYYY-MM)命名。 他们压缩为.bz2。 确保你提取你打算使用的那些。 我们不打算编写代码来...
Source File: utils.py From kaggle-kuzushiji-2019 with MIT License 6 votes def init_distributed_mode(args): if 'RANK' in os.environ and 'WORLD_SIZE' in os.environ: args.rank = int(os.environ["RANK"]) args.world_size = int(os.environ['WORLD_SIZE']) args.gpu = int(os.environ['...
Source File: utils.py From DPSNet with MIT License 6 votes def save_path_formatter(args, parser): def is_default(key, value): return value == parser.get_default(key) args_dict = vars(args) data_folder_name = str(Path(args_dict['data']).normpath().name) folder_string = [data_...
variables = ray_tf_utils.TensorFlowVariables( self.loss, tf.get_default_session()) # For evaluating test accuracy correct_prediction = tf.equal( tf.argmax(y_conv, 1), tf.argmax(self.y_, 1)) self.accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))...
fromdata_loadimportget_batch fromutilsimportsave_hparams,save_variable_specs,get_hypotheses,calc_bleu importos fromhparamsimportHparams importmath importlogging logging.basicConfig(level=logging.INFO) logging.info("# hparams") hparams=Hparams()