halib 0.1.61

Small library for common tasks

Helper package for coding and automation

Version 0.1.61

• add util/video: add VideoUtils class to handle common video-related tasks
• add util/gpu_mon: add GPUMonitor class to monitor GPU usage and performance

Version 0.1.59

• add util/perfcalc: abstract class for performance calculation. This class need to be inherited and implemented with specific performance calculation logic.

Version 0.1.55

• add util/dataclass_util to help dynamically create dataclass classes from dictionary or YAML file, including support for nested dataclasses. From there, we can use dataclass_wizard to create a list of dataclass classes with the help from ChatGPT.

Version 0.1.52

• add research/perftb module to allow creating and managing performance tables for experiments, including filtering by datasets, metrics, and experiments.

Version 0.1.50

• add pprint_local_path to print local path (file/directory) in clickable link (as file URI)

• add research package to help with research tasks, including benchquery for benchmarking queries from dataframe

• add wandb module to allow easy sync offline data to Weights & Biases (wandb) and batch clear wandb runs.

Version 0.1.47

• add pprint_box to print object/string in a box frame (like in inspect)

Version 0.1.46

• filter the warning message of UserWarning: Unable to import Axes3D.
• auto_wrap_text for fn_display_df to avoid long text in the table

Version 0.1.42

• add <rich_color.py>: add basic color list (for easy usage)

Version 0.1.41

• add <rich_color.py> to display rich color information in python package (rcolor_str, rcolor_pallet_all, etc.)

Version 0.1.40

• update <csvfile.py> to use itables and pygwalker to display dataframe in jupyter notebook.

Version 0.1.38

• add <torchloader.py> to search for best cfg for torch dataloader (num_workers, batch_size, pin_memory, et.)

Version 0.1.37

• add <dataset.py> to help split classification dataset into train/val(test)

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Version 0.1.33

• add plot.py module to plot DL model training history (with columlns: epoch, train_accuracy, val_accuracy, train_loss, val_loss) using seaborn and matplotlib

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Version 0.1.29

• for tele_noti module, kaleido==0.1.* is required for plotly since kaleido 0.2.* is not working (taking for ever to generate image)

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Version 0.1.24

• rename sys to system to avoid conflict with built-in sys module
• add tele_noti module to send notification to telegram after a specific interval for training progress monitoring

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Version 0.1.22

• add cuda.py module to check CUDA availability (for both pytorch and tensorflow)

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Version 0.1.21

• using networkx and omegaconf to allow yaml file inheritance and override

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Version 0.1.15

• __init__.py: add common logging library; also console_log decorator to log function (start and end)

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Version 0.1.10

• filesys: fix typo on "is_exit" to "is_exist"
• gdrive: now support uploading file to folder and return direct link (shareable link)

Version 0.1.9

• add dependencies requirement.txt

Version 0.1.8

Fix bugs:

• [performance] instead of inserting directly new rows into table dataframe, first insert it into in-memory row_pool_dict, that fill data in that dict into the actual dataframe when needed.

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Version 0.1.7

Fix bugs:

• fix insert into table so slow by allowing insert multiple rows at once

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Version 0.1.6

New features:

• add DFCreator for manipulating table (DataFrame) - create, insert row, display, write to file

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Version 0.1.5

New Features

• add cmd module
• new package structure

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Version 0.1.4

New Features

• add support to create Bitbucket Project from template

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Version 0.1.2

New Features

• add support to upload local to google drive.