Video Tools

Python code and shell scripts to help make video editing faster and easier...

Before using this code please read the project Disclaimer

Demo

If you find these tools useful then consider watching my other content and subscribing to my channel.

Features

1. Audio + Face Recognition Jumpcut
2. Audio Jumpcut
3. Audio + Template Matching Jumpcut
4. Batch Burn Subtitles From SRT
5. Batch Change Video Resolution With Blur
6. Batch Convert Video Format
7. Batch Generate Speech From Text
8. Batch Merge Image And Audio
9. Batch Merge Video And Audio
10. Batch Translate YouTube Playlist
11. Batch Translate YouTube Playlist With TTS
12. Batch Translate YouTube Video
13. Batch Translate YouTube Video With TTS
14. Burn Subtitles From SRT
15. Change Video Aspect Ratio
16. Change Video Resolution With Black Borders
17. Change Video Resolution With Blur
18. Change Volume Amount
19. Compress Audio File
20. Convert Video Format
21. Create Animated GIF
22. Create Mobile Crossclip
23. Create Pencil Sketch Video
24. Create Vintage Video
25. Crop Video
26. Cut Video Start To Duration
27. Cut Video Start To End Time
28. Download You Tube Video
29. Extract Audio From Video
30. Extract Images From Video
31. Face Recognition Jumpcut
32. Face Swap (untested)
33. Fix YouTube Subtitles
34. Flip Video Horizontally
35. Flip Video Vertically
36. Generate Game Highlights
37. Generate Speech From Text
38. Generate Video Subtitles
39. Get YouTube Video List
40. LBRY Download YouTube Playlist
41. LBRY Migrate YouTube Playlist
42. LBRY Upload Video Folder
43. Match Template Jumpcut
44. Merge Audio Files
45. Merge Image And Audio
46. Merge Multiple Videos
47. Merge Video And Audio
48. Mirror Video Horizontally
49. Mirror Video Vertically
50. Normalize Audio
51. Plot Sound Frames
52. Plot Video Frames
53. Remove Audio From Video
54. Remove Video Background
55. Resize Video By Height
56. Resize Video By Width
57. Reverse Video
58. Rotate Video Clockwise
59. Rotate Video Counterclockwise
60. TikTok Text To Speech (from txt file)
61. Translate YouTube Description
62. Translate YouTube Transcript
63. Zoompan Cut Video

Operating Systems

• MacOS
• Linus
• Windows 8+ with Cygwin or Bash for Windows
• Windows 10/11 with WSL (Windows Subsystem for Linux)

To install WSL see the link below: https://docs.microsoft.com/en-us/windows/wsl/install

List of terminal emulated: https://www.jetbrains.com/help/pycharm/terminal-emulator.html#configure-the-terminal-emulator

However, PowerShell (powershell) & Command Prompt (cmd.exe) do not support the scripts I this project.

Pre-requisites

1. Python 3+ - Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.

2. Googletrans - a free and unlimited python library that implemented Google Translate API

3. Imutils - A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, displaying Matplotlib images, sorting contours, detecting edges, and much easier with OpenCV and both Python 2.7 and Python 3.

4. Matplotlib - a comprehensive library for creating static, animated, and interactive visualizations in Python.

5. Numpy - the fundamental package for array computing with Python.

6. OpenCV - OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library.

7. playsound - a pure Python, cross-platform, single function module with no dependencies for playing sounds.

8. pydub - a library for manipulating audio with a simple and easy high level interface.

9. pyttsx3 - a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3.

10. Requests - a simple, yet elegant, HTTP library.

11. SpeechRecognition - Library for performing speech recognition, with support for several engines and APIs, online and offline.

To test for setup errors, simple type the following command and talk into your microphone to see if it translates your voice to text:

python -m speech_recognition

12. YouTube Transcript/Subtitle API - a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles, and it does not require a headless browser, like other selenium based solutions do!

13. Spleeter

Installation

1. Install Homebrew

   /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

2. Install Python

   brew install python

3. PyCharm CE (Community Edition) - Free

   PyCharm can be downloaded here: https://www.jetbrains.com/pycharm/download

4. Setup Project in pyCharm

   When setting up the new project, be sure to create a new virtual environment with the Homebrew Python installation as the base interpreter, and check both "Inherit global site-packages, and "Make available to all projects."

5. Install Video-Tools by performing the following steps:

   A. Select the pyCharm project directory

   B. Issue the following command from the shell inside the project directory in Step A:

   git clone https://github.com/bearcatjamboree/Video-Tools.git

   C. Type the following command to install pre-requisite python modules:

   pip install -r requirements.txt

   D. To setup Spleeter on Non-M1 systems type the following command from the shell:

   pip install spleeter

   On Mac M1 system follow these steps:

   https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-metal-jul-2021.ipynb

   NOTE: the Run->Edit Configurations menu can now be used to create references to the shell scripts to make them easily accessible through the pyCharm client.

6. Cascade Trainer GUI (Version 3.3.1 or better):

   If you want to train your own Haar Cascade Classifiers then this GUI can help make training and testing much easier: https://drive.google.com/drive/folders/1kZDzGx_RKu3qH_QONSxksR7gfZReevMg

   Install the GUI with Wineskin if on Mac/Linux. Wineskin can be downloaded and installed through HomeBrew using the following command:

   brew install --no-quarantine gcenx/wine/unofficial-wineskin

Known Issues

For M1 installations, to use the RemoveVocals.sh or RemoveBackgroundMusic.sh you must enter:

conda activate spleeter

Note, this is only if you called the separate environment "spleeter."

If you attempt to use PyTTSx3 (text-to-speech) while the spleeter environment is active then you may have issues translating text-to-speech with macOS NSS. This was observed to be an issue with macOS on M1 though occurrences was somewhat random.

Your Support

If you found these tools helpful then please consider subscribing to my YouTube channels:

• Bearcat Jamboree
• Bearcat Jamboree Shorts