Development. No branches or pull requests. 2 participants. I tried to run below code provided in the repository but I get DuplicateFlagError, can you please assist. from future import absolute_import from future import division from future import print_function import sys from absl import app fr From absl import flags import sys FLAGS = [HOST] FLAGS([HOST]) import time import numpy as np import cv2 import [HOST] as plt import tensorflow as tf from yolov3_[HOST] import YoloV3 from yolov3_[HOST]t import transform_images from yolov3_[HOST] import convert_boxes from deep_sort The absl/strings library provides classes and utility functions for manipulating and comparing strings, converting other types (such as integers) into strings, or evaluating strings for other usages. Additionally, the strings library also contains utility functions for “string-like” classes that store data within contiguous memory [HOST] allows both single-dash and double-dash for any flag, and doesn’t distinguish them; argparse_flags only allows double-dash for flag’s regular name, and single-dash Prefer to define flags only in the file containing the binary’s main () function. Although Abseil flags may be defined anywhere in any namespace, avoid any usage outside of main () as it will otherwise be difficult to resolve conflicts. Prefer to reference flags only from within the file containing the binary’s main () function, for the The error is pointed out in: print("csv_input flag:", [HOST]_input). However, If is commented the print part below of Flags defitinion the error is: An error Thank you @sujaybabruwad,I have solved the problem! I modified the model_[HOST] as follows: comment：from absl import flags change:[HOST]_string => [HOST]_string add:FLAGS = [HOST]
Abseil / The Abseil Flags Library
This module provides argparse integration with [HOST] argparse_[HOST]ntParser is a drop-in replacement for [HOST]ntParser. It takes care of collecting and defining absl flags in argparse. Here is a simple example: # Assume the following [HOST] is defined in another module: # # from absl import flags # [HOST]_string Saving ConfigDict to File -- Using ABSL · Issue #19 · google/ml_collections · GitHub. The Problem: I'm currently using the following pattern to load a config from dictionary from absl import app, flags from ml_collections import config_flags [HOST] import MY_CONFIG_DICT FLAGS = [HOST] _CONFIG = config_[HOST] Simple usage: from absl import logging [HOST] (‘Interesting Stuff’) [HOST] (‘Interesting Stuff with Arguments: %d’, 42) [HOST]_verbosity ([HOST]) To install the absl module using pip, run the following command in your terminal or command prompt: pip install absl. Once the module is installed, you can import it in your Python code using the following import statement: import absl. Here is an example of how to use the absl module to define a custom exception class: import absl This library adds flag definitions to [HOST] to handle config files. It does not wrap [HOST] so if using any standard flag definitions alongside config file flags, users must also import [HOST]. Currently, this module adds two new flag types, namely DEFINE_config_file which accepts a path to a Python file that generates a configuration, System information. Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes OS Platform and Distribution (e.g., Linux Ubuntu ): Ubuntu TensorFlow installed from (source or binary): binary TensorFlow version (use command below): Python version: ; Bazel version (if
TensorFlow1.5.0 absl.flags._exceptions.UnparsedFlagAccessError …
Duplicate Flag Error: The flag is defined twice: First in package and Second in module inside package. Lua Software Code. Search. Search icon. Open menu. Tutorials; Tutorials / from absl import flags FLAGS = flags. FLAGS. Add the following code to reset the define. for name in list (flags. FLAGS): delattr (flags. FLAGS,name) @Dimitri I had the same problem as you. Use @ThMore answer. Change import tensorflow as tf to import [HOST]v1 as [HOST]'t change anything else ([HOST] and [HOST] stays as is).– Binx Parameters: name – Flag name.; config – ConfigDict object.; help_string – Help string to display when –helpfull is called. (default: “ConfigDict instance.”) flag_values – FlagValues instance used for parsing. (default: [HOST]) lock_config – If set to True, loaded config will be locked through [HOST]() method on its instance (if it exists) In Tensorlow 2.x [HOST] has been moved to [HOST] which is not addressed in Tensorflow Hub Now in the latest Tensorflow Hub() they are using flags like below. from absl import flags FLAGS = [HOST] Upgrading Tensorflow Hub should resolve your issue Despite Durban beaches losing out on their Blue Flag beach status this year, a number of KwaZulu-Natal (KZN) South Coast beaches have kept theirs for the / year. The region has also In fact, the pip package descriptor of tensorflow explicitly requires absl-py >= (see this link at least on the current master. Can you start an interactive python session and try