The project aims to automatically prepare jumpcuts based on silence detection and embedded timecodes in the videos

• You are editing on Davinci Resolve
• You have already setup the pre-requisites for Davinci Resolve scripting
• All the videos have timecode built-in. Or else, you would have to burn the timecode yourself.
• You have already created the Resolve project and imported the media in the media pool
• You have already installed ffmpeg and have the bin in your path

• ffmpeg-python
• timecode
• numpy

• file_extension = ".MOV"
• frame_rate = 59.94
• timeline_name = "sample"

• Copy paste the two python files and requirements.txt in the folder containing the videos. Flat structure is required
• Open CMD, cd to the folder and run "pip install -r requirements.txt" and then "python jumpcut.py"
• Check the resolve media pool and Voila! Your timeline should be there

• Windows 10
• Python 3.6.0 (Wierd dependency issues with Davinci Resolve APIs)

• Don't use conda. The APIs doesn't seem to work with conda
• If you are using VSCode with tabnine. Uninstall tabnine extension! (Resolve and tabnine both share the same port, I believe)

• Automatically apply a LUT
• Apply audio denoiser
• Apply some presets I have configured in Resolve

• Unofficial DaVinci Resolve Scripting Documentation - https://deric.github.io/DaVinciResolve-API-Docs/
• SMPTE Timecode Python library - https://github.com/eoyilmaz/timecode
• Frames to SMPTE timecode code - https://gist.github.com/manneohrstrom/8033e178cd38589b0226b45cef1dfe30