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diff --git a/opt/noNoise-master/README.rst b/opt/noNoise-master/README.rst deleted file mode 100644 index 0efdbd4..0000000 --- a/opt/noNoise-master/README.rst +++ /dev/null @@ -1,160 +0,0 @@ -Introduction -============ - -With home made videos or screencasts, we often find a constant noise in our recording due to electric wiring, fan, choke coil of fluorescent -lamp etc. This could be irritating.But fortunately, these noises can be easily detected and can be removed with GUI based tools, such as -Audacity. -To use any GUI based tool, we need to extract audio manually and then feed it to the software, once done we have to again join the noisefree -audio with the video. This is OK with 1 or 2 files. But to for automating each step and to handle multiple files we need a simple script. - -One can simply use `sox` and `ffmpeg` commands shown below in given order to get the same result(see `Working`). - - -UPDATE for 14.04 ----------------- - -Install **libav-tools** and **sox**. - -Run as :: - - $ bash noNoise.sh noisyVideo.mp4 noise-reduction-factor - -This will create an backup file of original video in **/tmp** -and noisefreeVideo in **pwd**. - -Example :: - - $ bash noNoise.sh Kazam_screencast_00000.mp4 0.2 - -It will create **noisefree_Kazam_screencast_00000.mp4.mp4** in **pwd** -and a backup of original video in **/tmp/orig_Kazam_screencast_00000.mp4** - -This is just an early fix, will add more features soon. - -Please raise issues for any bugs or email me for feature requests. - -Also, I recently came across **Kazam** package (available in repositories), -its a good screen recorder with most needed keyboard shortcuts, such as - -* start recording: Super + Control + r -* pause recording: Super + Control + p -* finish recording: Super + Control + f -* show Kazam: Super + Control + s -* quit: Super + Control + q - -Required packages (Upto Ubuntu 13.10) -------------------------------------- - - * sox - - * ffmpeg - - * ffmpeg2theora - - * libmp3lame0 - - * Linux machine with default python - - - -Usage ------ - -### Remove noise from a single file - - - $ python noNoise.py VideoWithNoise.ogv CleanVideo.ogv - (source file) (destination file) - -(OR) - - $ python noNoise.py VideoWithNoise.ogv CleanVideo.ogv 0.21 - (source file) (destination file) (noise factor) - - The third argument is optional(Noise factor). The scale spans from - `0.0` to `1.0`. Zero means no noise supression and 1.0 means full. The full - scale is avoided. Best optimum result is found between `0.2` to `0.3`. By default - script will take `0.26`. One can experiment with noise factor to get best noise - free video. - NOTE: Careful, destination file will be overwritten if exist in given path. - - - -### Remove noise from all files inside a directory - - - $ python noNoise.py allNoisyFiles allCleanFiles - (source dir) (destination dir) - -(OR) - - $ python noNoise.py allNoisyFiles allCleanFiles 0.21 - (source Dir) (destination dir) (Noise factor) - -NOTE: Please don't use any '/' after directory name. It will spit error. -The fix is possible, but I don't want to spend time on it. This script is dirty -but useful(atleast for me). When I find time, I will surely modify it. Meanwhile -you all are welcome to add modifications. - - - -Working: -------- -###1. Extracting video in less compressed format - - ffmpeg -i 1.ogv -sameq -an 2.wmv - - Extracting video in wmv format for easy editing(less compressed - than mp4,ogv,avi). We can leave the video intact and combine the - noiseless audio later to it, but it will hamper the video quality - of the newly joined video. - The size of this 'wmv' will be approximately 5 times than that of - original 'ogv' video. - - -###2. Extracting audio in less compressed format - - ffmpeg -i 1.ogv -sameq 2.wav - - Extracting audio in wav format for fast & easy editing.The size of the - `wav` audio file will be approximately 8 times larger than the original. - - -###3. Getting noise profile - - sox 2.wav -t null /dev/null trim 0 0.5 noiseprof myprofile - - Creating a noise profile of original audio at 0 to 0.5 second. - One can change this duration if required. In most cases the - standard noise is evenly distributed throughout the recording(eg: - fan, PC etc), so the default 0 to 0.5 value will do the trick. - -###4. Converting audio according to noise profile - - sox 2.wav 2-noisefree.wav noisered myprofile 0.26 - - Creating a noisefree audio based on our noise profile. The value - `0.26` is important. This is scale for noise removal. 0 means no removal - and 1 means full removal. The full removal will supress most of the - orginal audio too. So as per my R&D, I found `0.26` to be most optimized - one for noise removal. - - -###5. Combining back audio and video - - ffmpeg -i 2-noisefree.wav -i 2.wmv -sameq vid.wmv - - Merging new noiseless audio and old video together. - - -###6. Final conversion - - ffmpeg2theora vid.wmv -o vid.ogv - - Now converting wmv into our favorite ogv format. This will create a - `vid.ogv` of almost same size that of original video. - - -License -------- -GNU GPLV3 |