Search Results for "dependencies"

...It adds a new option to the context menu to create an easy way to convert between a huge amount of file types. The program offers many options to customize the appearance of its context menu. There are also a few extra formats which can be added by installing optional dependencies. The tool has a built-in auto-update function to make sure the newest version is always installed.

...Its purpose is simple; to facilitate the downloading of non-copyright-protected videos from certain internet websites including YouTube. Source code is included and can be executed directly if you have Python and the proper dependencies available. I digitally sign some files in my releases. If you'd like to verify those signatures, you can find my PGP/GPG keys at: https://marcusadams.me/keys.html If you'd like to read the source code without downloading anything, you can do so on the project's Gitlab at: https://gitlab.com/gerowen/youtube-dl-pytk If you'd like to donate there's several ways to do so: PayPal: https://paypal.me/gerowen Bitcoin (BTC): bc1q86c5j7wvf6cw78tf8x3szxy5gnxg4gj8mw4sy2 Monero (XMR): 42ho3m9tJsobZwQDsFTk92ENdWAYk2zL8Qp42m7pKmfWE7jzei7Fwrs87MMXUTCVifjZZiStt3E7c5tmYa9qNxAf3MbY7rD

Pytube is a lightweight, dependency-free Python library that enables downloading YouTube videos and audio streams with minimal setup. It supports video resolution selection, progressive or adaptive streams, and caption downloads. Pytube is ideal for automation scripts, archiving tools, and media applications that need to interface with YouTube content programmatically.

...The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch provides configurations, pretrained models, and training scripts that make it straightforward to evaluate or fine-tune on video datasets. TimeSformer was influential in showing that pure transformer architectures—without convolutional backbones—can perform strongly on video classification tasks. ...

A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream. This project is designed to develop a class, :class:`base64io.Base64IO`, that implements a streaming interface for Base64 encoding. Python has supported native Base64 encoding since version 2.4. However, there is no streaming interface for Base64 encoding, and none is available from the community. The legacy base64.encode and base64.decode interface lets you shuffle data between...

...VLC seek/jump hotkeys, as well as in/out hotkeys are supported. Currently, it's just in Python (no EXE), but it should be easy to run it from Python. From the command prompt, install the dependencies: pip install wxPython pip install boto pip install selenium pip install google-api-python-client Then start the program by: python Trimmer.py This project is a simpler edition of the Trimmer project by Andy (https://sourceforge.net/projects/trimmer/).

...Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter