moviepy | Video editing with Python | Video Utils library

 by   Zulko Python Version: v2.0.0.dev2 License: MIT

kandi X-RAY | moviepy Summary

moviepy is a Python library typically used in Telecommunications, Media, Media, Entertainment, Video, Video Utils applications. moviepy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.
Video editing with Python
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                        summary
                        moviepy has a highly active ecosystem.
                        summary
                        It has 10176 star(s) with 1343 fork(s). There are 245 watchers for this library.
                        summary
                        It had no major release in the last 12 months.
                        summary
                        There are 283 open issues and 989 have been closed. On average issues are closed in 366 days. There are 27 open pull requests and 0 closed requests.
                        summary
                        It has a negative sentiment in the developer community.
                        summary
                        The latest version of moviepy is v2.0.0.dev2
                        moviepy Support
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                                  kandi-Quality Quality

                                    summary
                                    moviepy has 0 bugs and 0 code smells.
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                                                moviepy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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                                                moviepy code analysis shows 0 unresolved vulnerabilities.
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                                                There are 0 security hotspots that need review.
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                                                          kandi-License License

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                                                            moviepy is licensed under the MIT License. This license is Permissive.
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                                                            Permissive licenses have the least restrictions, and you can use them in most projects.
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                                                                        summary
                                                                        moviepy releases are available to install and integrate.
                                                                        summary
                                                                        Build file is available. You can build the component from source.
                                                                        summary
                                                                        moviepy saves you 3098 person hours of effort in developing the same functionality from scratch.
                                                                        summary
                                                                        It has 6671 lines of code, 468 functions and 125 files.
                                                                        summary
                                                                        It has high code complexity. Code complexity directly impacts maintainability of the code.
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                                                                                  Top functions reviewed by kandi - BETA
                                                                                  kandi has reviewed moviepy and discovered the below as its top functions. This is intended to give you an instant insight into moviepy implemented functionality, and help decide if they suit your requirements.
                                                                                  • Write a video
                                                                                    • Write audio to a file
                                                                                    • Generate an iterator over the sound array
                                                                                    • Convert to a sound array
                                                                                  • Automatically track objects
                                                                                    • Blit image onto image
                                                                                    • Displays the given image
                                                                                  • Color a rectangle
                                                                                    • Color a 2D image
                                                                                  • Concatenate multiple videoclips
                                                                                    • Set start time
                                                                                  • Multiply volume by factor
                                                                                  • Show a clip
                                                                                  • Simulate a clip
                                                                                  • Create a composite video clip
                                                                                  • Draw a circle
                                                                                  • Creates a Trajectory object based on pattern
                                                                                  • Get a frame from the buffer
                                                                                  • Parse video stream data
                                                                                  • Crop crop image
                                                                                  • Color gradient between two points
                                                                                  • Generate frames from a clip
                                                                                  • Finds all objects in the given clip
                                                                                  • Preview a sound
                                                                                  • Make a margin of a clip
                                                                                  • Return a new clip of the current clip
                                                                                  • Clip an array
                                                                                  Get all kandi verified functions for this library.
                                                                                  Get all kandi verified functions for this library.

                                                                                  moviepy Key Features

                                                                                  Video editing with Python

                                                                                  moviepy Examples and Code Snippets

                                                                                  No Code Snippets are available at this moment for moviepy.
                                                                                  Community Discussions

                                                                                  Trending Discussions on moviepy

                                                                                  How to run limited number of Multithreads in loop using python script?
                                                                                  chevron right
                                                                                  Convert animated webp to mp4 faster
                                                                                  chevron right
                                                                                  ffmpeg_extract_subclip function and moviepy string output error
                                                                                  chevron right
                                                                                  Errno 5 Input/output error when closing console
                                                                                  chevron right
                                                                                  Upload large video to GCS use signed url but video is broken
                                                                                  chevron right
                                                                                  AWS elastic beanstalk not working with Librosa python
                                                                                  chevron right
                                                                                  Moviepy - audio gets corrupted when extracted from video
                                                                                  chevron right
                                                                                  NameError: name 'moviepy' is not defined after pip install moviepy
                                                                                  chevron right
                                                                                  MoviePy: linspace() got an unexpected keyword argument 'dtype'
                                                                                  chevron right
                                                                                  Downloading a subclip of an .mp4 from URL using Python
                                                                                  chevron right

                                                                                  QUESTION

                                                                                  How to run limited number of Multithreads in loop using python script?
                                                                                  Asked 2022-Mar-12 at 15:06

                                                                                  Consider 20 video file in the raw video folder. Initially take only 5 video for fast forwarding by assigning them to 5 individual threads. The process should wait until the 5 threads are completing their task and after completion, the fast forwarded videos must be saved in converted folder and the raw videos must move to the new folder. But in each loop it has to process only 5 threads wait and process the next set of threads. Here is the code:

                                                                                  from moviepy.editor import *
                                                                                  import os
                                                                                  import glob
                                                                                  from natsort import natsorted
                                                                                  from threading import Thread
                                                                                  import datetime
                                                                                  
                                                                                  def fast(path,thread_name):
                                                                                      if os.path.splitext(path)[1] == '.mp4':
                                                                                          print("Start : " + str(thread_name) + "  -  " + str(datetime.datetime.now()))
                                                                                          clip = (VideoFileClip(path).fx(vfx.speedx, 5))
                                                                                          clip.to_videofile('A:/Internship/Assignment-1/output_folders/multithread_fast_output/'+thread_name + '.mp4', codec='libx264')
                                                                                          print("End : " + str(thread_name) + "  -  " + str(datetime.datetime.now()))
                                                                                  
                                                                                  for i, filename in enumerate(glob.glob("A:/Internship/Assignment-1/videos/*.mp4"), 1):
                                                                                      thread_name = f"t{i}"
                                                                                      Thread(target=fast, args=(filename, thread_name)).start()
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2022-Mar-11 at 08:10

                                                                                  I have slightly modified your code to use ThreadPoolExecutor instead of Thread The idea here is to create a pool of 5 worker threads (since you want 5 active at a time) and then add fast function to the job queue. 5 thread will run the fast function and when any thread finishes executing the function, it will take up the next task in the queue.

                                                                                  from moviepy.editor import *
                                                                                  import os
                                                                                  import glob
                                                                                  from natsort import natsorted
                                                                                  import datetime
                                                                                  
                                                                                  from concurrent.futures import ThreadPoolExecutor
                                                                                  
                                                                                  
                                                                                  def fast(path, thread_name):
                                                                                      if os.path.splitext(path)[1] == '.mp4':
                                                                                          print("Start : " + str(thread_name) + "  -  " + str(datetime.datetime.now()))
                                                                                          clip = (VideoFileClip(path).fx(vfx.speedx, 5))
                                                                                          clip.to_videofile('A:/Internship/Assignment-1/output_folders/multithread_fast_output/' + thread_name + '.mp4', codec='libx264')
                                                                                          print("End : " + str(thread_name) + "  -  " + str(datetime.datetime.now()))
                                                                                  
                                                                                  
                                                                                  with ThreadPoolExecutor(5) as pool:
                                                                                      for i, filename in enumerate(glob.glob("A:/Internship/Assignment-1/videos/*.mp4"), 1):
                                                                                          pool.submit(fast, filename, f"t{i}")
                                                                                  

                                                                                  Source https://stackoverflow.com/questions/71434874

                                                                                  QUESTION

                                                                                  Convert animated webp to mp4 faster
                                                                                  Asked 2022-Mar-06 at 08:43

                                                                                  After searching around, I saw some one had suggested this for a animated webp to webm. But that seemed cumbersome. So I made this to convert a animated webp to mp4 or webm, which I have live here. It takes some logic of converting a gif to video and applies it. The issue is, it takes a bit.

                                                                                  I was wondering if anyone had suggestions on how to improve the speed?

                                                                                  import os
                                                                                  import moviepy.video.io.ImageSequenceClip
                                                                                  
                                                                                  def analyseImage(path):
                                                                                      '''
                                                                                      Pre-process pass over the image to determine the mode (full or additive).
                                                                                      Necessary as assessing single frames isn't reliable. Need to know the mode
                                                                                      before processing all frames.
                                                                                      '''
                                                                                      im = PIL.Image.open(path)
                                                                                      results = {
                                                                                          'size': im.size,
                                                                                          'mode': 'full',
                                                                                      }
                                                                                      try:
                                                                                          while True:
                                                                                              if im.tile:
                                                                                                  tile = im.tile[0]
                                                                                                  update_region = tile[1]
                                                                                                  update_region_dimensions = update_region[2:]
                                                                                                  if update_region_dimensions != im.size:
                                                                                                      results['mode'] = 'partial'
                                                                                                      break
                                                                                              im.seek(im.tell() + 1)
                                                                                      except EOFError:
                                                                                          pass
                                                                                      return results
                                                                                  
                                                                                  
                                                                                  def processImage(path):
                                                                                      '''
                                                                                      Iterate the animated image extracting each frame.
                                                                                      '''
                                                                                      images = []
                                                                                      mode = analyseImage(path)['mode']
                                                                                  
                                                                                      im = PIL.Image.open(path)
                                                                                  
                                                                                      i = 0
                                                                                      p = im.getpalette()
                                                                                      last_frame = im.convert('RGBA')
                                                                                  
                                                                                      try:
                                                                                          while True:
                                                                                              print("saving %s (%s) frame %d, %s %s" % (path, mode, i, im.size, im.tile))
                                                                                  
                                                                                              '''
                                                                                              If the GIF uses local colour tables, each frame will have its own palette.
                                                                                              If not, we need to apply the global palette to the new frame.
                                                                                              '''
                                                                                              if '.gif' in path:
                                                                                                  if not im.getpalette():
                                                                                                      im.putpalette(p)
                                                                                  
                                                                                              new_frame = PIL.Image.new('RGBA', im.size)
                                                                                  
                                                                                              '''
                                                                                              Is this file a "partial"-mode GIF where frames update a region of a different size to the entire image?
                                                                                              If so, we need to construct the new frame by pasting it on top of the preceding frames.
                                                                                              '''
                                                                                              if mode == 'partial':
                                                                                                  new_frame.paste(last_frame)
                                                                                  
                                                                                              new_frame.paste(im, (0, 0), im.convert('RGBA'))
                                                                                              nameoffile = path.split('/')[-1]
                                                                                              output_folder = path.replace(nameoffile, '')
                                                                                  
                                                                                              name = '%s%s-%d.png' % (output_folder, ''.join(os.path.basename(path).split('.')[:-1]), i)
                                                                                              print(name)
                                                                                              new_frame.save(name, 'PNG')
                                                                                              images.append(name)
                                                                                              i += 1
                                                                                              last_frame = new_frame
                                                                                              im.seek(im.tell() + 1)
                                                                                      except EOFError:
                                                                                          pass
                                                                                      return images
                                                                                  
                                                                                  
                                                                                  
                                                                                  def webp_mp4(filename, outfile):
                                                                                      images = processImage("%s" % filename)
                                                                                      fps = 30
                                                                                      clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(images, fps=fps)
                                                                                      clip.write_videofile(outfile)
                                                                                      return [outfile]
                                                                                  
                                                                                  webp_mp4(filename, outfile)
                                                                                  
                                                                                  

                                                                                  How it works currently, is it when you run webp_mp4(filename, outfile) it calls processImage which calls analyseImage. In the end all this works fine. Just want it faster.

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-17 at 20:05

                                                                                  Video transcoding is usually an "embarrassingly parallel" task, and processImage is doing things in one big sequence. If processImage is the slow part, you can use multiprocessing.Pool and assign each worker (which can run on a separate CPU core) its own range of frames to process. PIL objects aren't pickle-able, so you'll have to write temp files, which it seems you're already doing.

                                                                                  I don't know much about PIL, so if there's a better way to use the lib instead, I'm not going to see it. Maybe saving each frame as PNG is slow; worth trying TIF or JPEG. (I'd try it myself, but my Python installation isn't set up on this laptop.)

                                                                                  Source https://stackoverflow.com/questions/70745944

                                                                                  QUESTION

                                                                                  ffmpeg_extract_subclip function and moviepy string output error
                                                                                  Asked 2022-Feb-28 at 17:15

                                                                                  I have been developing this small application to download and cut Youtube videos. It works fine but an error or misformatted message is the issue I have not fixed. When it comes to the cutting process, the function ffmpeg_extract_subclip is used and right after that point, I get the weird error below:

                                                                                  Below, the script working fine.

                                                                                  The function responsible for cutting the video

                                                                                  # cutting the video by section
                                                                                  def cut_video(video_local_path, start_time, end_time, final_file):
                                                                                  
                                                                                      print("- Cutting your video...")
                                                                                      ffmpeg_extract_subclip(video_local_path, time_to_sec(start_time), time_to_sec(end_time), targetname=f"{final_file}.mp4")
                                                                                  

                                                                                  If necessary, you can check the full code here on github.

                                                                                  I have extensively read the API for ffmpeg and moviepy, debugged on vscode and checked alternatives like VideoFileClip but it would never give me the same performance.

                                                                                  Thanks in advance.

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-28 at 17:15

                                                                                  There are a couple ways to work around this behavior.

                                                                                  1. Momentarily redirect stdout/stderr

                                                                                  See this post

                                                                                  2. Use FFmpeg directly

                                                                                  moviepy appears to be depending on imageio-ffmpeg for its FFmpeg support, and imageio-ffmpeg gets the FFmpeg path from IMAGEIO_FFMPEG_EXE environmental path downloads FFmpeg executables when the package is installed . So, you should be able to do the following

                                                                                  
                                                                                  import imageio_ffmpeg
                                                                                  import subprocess as sp
                                                                                  
                                                                                  ffmpeg_path = imageio_ffmpeg.get_ffmpeg_exe()
                                                                                  
                                                                                  sp.run([ffmpeg_path, '-ss', start_time, '-to', end_time, '-i', video_local_path, 
                                                                                         final_file, '-y'], stderr=sp.NULL, stdout=sp.NULL)
                                                                                  
                                                                                  

                                                                                  Now, if you are using moviepy only for this operation (and other FFmpeg operations), you can drop it altogether and set ffmpeg_path to the FFmpeg path. and just download the FFmpeg binaries via ffmpeg-downloader or static-ffmpeg package. The former is a better choice if you use FFmpeg in multiple venvs (as it saves FFmpeg files in an OS designated user data area, so it only downloads once). The latter is 100% automatic downloading approach similar to imageio-ffmpeg but with no frills .

                                                                                  [edit: imageio-ffmpeg does not download FFmpeg on its own, so you should already have the FFmpeg executables on your system.]

                                                                                  Source https://stackoverflow.com/questions/71287900

                                                                                  QUESTION

                                                                                  Errno 5 Input/output error when closing console
                                                                                  Asked 2022-Feb-18 at 22:25

                                                                                  I have a video converter which is converting audio and video files. Everything works but if I close my terminal from my server the audio file convert doesnt work anymore. I use PyTube for converting and moviepy for converting the mp4 from pytube into mp3. (I think the problem has something to do with moviepy bc. before I didnt have it.)

                                                                                  This is my code for converting audio:

                                                                                          if format == "3":
                                                                                              yt = YouTube(videolink)
                                                                                              downloads = MEDIA_ROOT + "/videos/"
                                                                                              ys = yt.streams.filter(file_extension='mp4').first().download(downloads)
                                                                                              base, ext = os.path.splitext(ys)
                                                                                              basename = os.path.basename(base + uuid + '.mp3')
                                                                                              videoclip = VideoFileClip(ys)
                                                                                              audioclip = videoclip.audio
                                                                                              audioclip.write_audiofile(base + uuid + ".mp3")
                                                                                              audioclip.close()
                                                                                              videoclip.close()
                                                                                  

                                                                                  maybe something with the os code is wrong.

                                                                                  But I cant figure out why it works if I leave the console open.

                                                                                  Im thankful for every help I get.

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-18 at 22:25

                                                                                  So I found the solution, for everyone who faces the same problem. You have to disable the console output in moviepy. You can do the with the logger parameter in the "write" function. Then the error should disappear.

                                                                                  Source https://stackoverflow.com/questions/71179401

                                                                                  QUESTION

                                                                                  Upload large video to GCS use signed url but video is broken
                                                                                  Asked 2022-Feb-13 at 07:16

                                                                                  I have a application for Google App Engine(GAE), using Vue.js on the frontend and Flask on the backend. My app allows users to upload large video and will analyze it. But since GAE's upload size limit is 32MB, so I allow users to upload directly to Google Cloud Storage(GCS) using signed url.

                                                                                  The problem I am facing is that the user can successfully upload the video to GCS, but on the backend(flask) when downloading the video for analysis, get the error below:

                                                                                  *** OSError: MoviePy error: failed to read the duration of file /tmp/source_video.mp4.
                                                                                  Here are the file infos returned by ffmpeg:
                                                                                  
                                                                                  ffmpeg version 4.2.2-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2019 the FFmpeg developers
                                                                                    built with gcc 8 (Debian 8.3.0-6)
                                                                                    configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --cc=gcc --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-libgme --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libdav1d --enable-libxvid --enable-libzvbi --enable-libzimg
                                                                                    libavutil      56. 31.100 / 56. 31.100
                                                                                    libavcodec     58. 54.100 / 58. 54.100
                                                                                    libavformat    58. 29.100 / 58. 29.100
                                                                                    libavdevice    58.  8.100 / 58.  8.100
                                                                                    libavfilter     7. 57.100 /  7. 57.100
                                                                                    libswscale      5.  5.100 /  5.  5.100
                                                                                    libswresample   3.  5.100 /  3.  5.100
                                                                                    libpostproc    55.  5.100 / 55.  5.100
                                                                                  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7444500] Format mov,mp4,m4a,3gp,3g2,mj2 detected only with low score of 1, misdetection possible!
                                                                                  [mov,mp4,m4a,3gp,3g2,mj2 @ 0x7444500] moov atom not found
                                                                                  /tmp/source_video.mp4: Invalid data found when processing input
                                                                                  

                                                                                  Flask code download:

                                                                                  class Analyser:
                                                                                      def __init__(self):
                                                                                          self.gcs_bucket = 'bucket_name'
                                                                                          self.gcs_blob_video = 'videos/'
                                                                                  
                                                                                      def __storage_bucket(self):
                                                                                          client = storage.Client()
                                                                                          bucket = client.get_bucket(self.gcs_bucket)
                                                                                          bucket.cors = [
                                                                                              {
                                                                                                  "origin": ["*"],
                                                                                                  "responseHeader": [
                                                                                                      "Access-Control-Allow-Origin"
                                                                                                  ],
                                                                                                  "method": ['PUT', 'POST', 'GET'],
                                                                                                  "maxAgeSeconds": 3600
                                                                                              }
                                                                                          ]
                                                                                          bucket.patch()
                                                                                          return bucket
                                                                                  
                                                                                      def __generate_upload_signed_url(self, bucket, blob):
                                                                                          blob = bucket.blob(blob)
                                                                                          return blob.generate_signed_url(
                                                                                              version='v4',
                                                                                              expiration=datetime.timedelta(minutes=15),
                                                                                              method='PUT',
                                                                                          )
                                                                                     
                                                                                      def analyze_video(self, pid):
                                                                                          src_filepath = '/tmp/source_video.mp4'
                                                                                  
                                                                                          bucket = self.__storage_bucket()
                                                                                          blob = bucket.blob(self.gcs_blob_video + 'filename.mp4')
                                                                                          blob.download_to_filename(src_filepath)
                                                                                  
                                                                                          #error is here
                                                                                          video = VideoFileClip(src_filepath)
                                                                                  

                                                                                  Vuejs code upload:

                                                                                  note: Uploaded successfully, on gcs there is a file to upload.

                                                                                  async uploadVideo(_: any, video: File): Promise {
                                                                                        signed_url = "https://storage.googleapis.com/bucket_name...." #signed url is return from flask
                                                                                        const formData = new FormData();
                                                                                        formData.append('file', video);
                                                                                        const response_upload_file = await fetch(
                                                                                          signed_url,
                                                                                          {
                                                                                            method: 'PUT',
                                                                                            body: formData
                                                                                          }
                                                                                        )
                                                                                        return true
                                                                                  }
                                                                                  

                                                                                  I've searched on google quite a bit and still haven't found a solution.

                                                                                  I really don't know if it's broken during the upload or when I download for analysis. I would be very grateful if someone could suggest me a solution to solve this problem.

                                                                                  Thanks for reading.

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-13 at 07:16

                                                                                  You are using formData with the HTTP PUT method which corrupts the upload as a binary data stream is expected and not MIME data.

                                                                                  To use formdata:

                                                                                  Upload an object with HTML forms

                                                                                  Source https://stackoverflow.com/questions/71098490

                                                                                  QUESTION

                                                                                  AWS elastic beanstalk not working with Librosa python
                                                                                  Asked 2022-Feb-12 at 23:21

                                                                                  My application works properly on the local machine. However, as I uploaded the application to elastic beanstalk, the import of librosa library broke the application. How to solve the issue?

                                                                                  import os
                                                                                  import pandas as pd
                                                                                  import librosa
                                                                                  import numpy as np
                                                                                  from sklearn.preprocessing import StandardScaler
                                                                                  # split training and test data
                                                                                  from sklearn.model_selection import train_test_split
                                                                                  from flask import Flask
                                                                                  from flask import request
                                                                                  from flask import Response
                                                                                  
                                                                                  # EB looks for an 'application' callable by default.
                                                                                  application = Flask(__name__)
                                                                                  
                                                                                  
                                                                                  @application.route('/', methods=['Get'])
                                                                                  def homepage():
                                                                                      return "Hello World"
                                                                                  
                                                                                  # run the app.
                                                                                  if __name__ == "__main__":
                                                                                      # Setting debug to True enables debug output. This line should be
                                                                                      # removed before deploying a production app.
                                                                                      application.debug = True
                                                                                      application.run()
                                                                                  

                                                                                  I am using Python 3.8 on Amazon linux 2. The packages are installed using requirements.txt :

                                                                                  flask==1.1.2
                                                                                  flask_cors==3.0.10
                                                                                  imageio==2.9.0
                                                                                  librosa==0.8.1
                                                                                  moviepy==1.0.3
                                                                                  numpy==1.19.0
                                                                                  pandas==1.2.3
                                                                                  scikit-learn==0.24.1
                                                                                  tensorflow==2.2.0
                                                                                  werkzeug==1.0.1
                                                                                  

                                                                                  The log is given below:

                                                                                  2022/02/11 20:22:31.051794 [ERROR] An error occurred during execution of command [app-deploy] - [InstallDependency]. Stop running the command. Error: fail to install dependencies with requirements.txt file with error Command /bin/sh -c /var/app/venv/staging-LQM1lest/bin/pip install -r requirements.txt failed with error exit status 2. Stderr:ERROR: Exception:
                                                                                  Traceback (most recent call last):
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/cli/base_command.py", line 164, in exc_logging_wrapper
                                                                                      status = run_func(*args)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/cli/req_command.py", line 205, in wrapper
                                                                                      return func(self, options, args)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/commands/install.py", line 339, in run
                                                                                      reqs, check_supported_wheels=not options.target_dir
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 93, in resolve
                                                                                      collected.requirements, max_rounds=try_to_avoid_resolution_too_deep
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 482, in resolve
                                                                                      state = resolution.resolve(requirements, max_rounds=max_rounds)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 349, in resolve
                                                                                      self._add_to_criteria(self.state.criteria, r, parent=None)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/resolvelib/resolvers.py", line 173, in _add_to_criteria
                                                                                      if not criterion.candidates:
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/resolvelib/structs.py", line 151, in __bool__
                                                                                      return bool(self._sequence)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 155, in __bool__
                                                                                      return any(self)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 143, in 
                                                                                      return (c for c in iterator if id(c) not in self._incompatible_ids)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 47, in _iter_built
                                                                                      candidate = func()
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 206, in _make_candidate_from_link
                                                                                      version=version,
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 287, in __init__
                                                                                      version=version,
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 156, in __init__
                                                                                      self.dist = self._prepare()
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 225, in _prepare
                                                                                      dist = self._prepare_distribution()
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 292, in _prepare_distribution
                                                                                      return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 482, in prepare_linked_requirement
                                                                                      return self._prepare_linked_requirement(req, parallel_builds)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 528, in _prepare_linked_requirement
                                                                                      link, req.source_dir, self._download, self.download_dir, hashes
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 217, in unpack_url
                                                                                      hashes=hashes,
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/operations/prepare.py", line 94, in get_http_url
                                                                                      from_path, content_type = download(link, temp_dir.path)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/network/download.py", line 145, in __call__
                                                                                      for chunk in chunks:
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/cli/progress_bars.py", line 144, in iter
                                                                                      for x in it:
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_internal/network/utils.py", line 87, in response_chunks
                                                                                      decode_content=False,
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 576, in stream
                                                                                      data = self.read(amt=amt, decode_content=decode_content)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py", line 519, in read
                                                                                      data = self._fp.read(amt) if not fp_closed else b""
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 65, in read
                                                                                      self._close()
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 52, in _close
                                                                                      self.__callback(self.__buf.getvalue())
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/cachecontrol/controller.py", line 309, in cache_response
                                                                                      cache_url, self.serializer.dumps(request, response, body=body)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/cachecontrol/serialize.py", line 72, in dumps
                                                                                      return b",".join([b"cc=4", msgpack.dumps(data, use_bin_type=True)])
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/__init__.py", line 35, in packb
                                                                                      return Packer(**kwargs).pack(o)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 960, in pack
                                                                                      self._pack(obj)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 944, in _pack
                                                                                      len(obj), dict_iteritems(obj), nest_limit - 1
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 1045, in _pack_map_pairs
                                                                                      self._pack(v, nest_limit - 1)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 944, in _pack
                                                                                      len(obj), dict_iteritems(obj), nest_limit - 1
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 1045, in _pack_map_pairs
                                                                                      self._pack(v, nest_limit - 1)
                                                                                    File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py", line 889, in _pack
                                                                                      return self._buffer.write(obj)
                                                                                  

                                                                                  Can anyone please confirm if the application works on EB?

                                                                                  ANSWER

                                                                                  Answered 2022-Feb-12 at 23:21

                                                                                  The issue is probably with tensorflow==2.2.0. This is a very heavy library and you can't install it on t2.micro. You need at least t2.medium (not in free tier) which has more RAM to successfully install tensorflow==2.2.0 on EB.

                                                                                  Source https://stackoverflow.com/questions/71089076

                                                                                  QUESTION

                                                                                  Moviepy - audio gets corrupted when extracted from video
                                                                                  Asked 2022-Jan-16 at 22:49

                                                                                  a simple code like this is creating a corrupted audio file for some reasons:

                                                                                  from moviepy import *
                                                                                  
                                                                                  clip = VideoFileClip("cut.mp4")
                                                                                  audio = clip.audio
                                                                                  audio.to_audiofile('temp-audio.mp3')
                                                                                  

                                                                                  Expected Behavior Audio should be the same as the audio in the video

                                                                                  Actual Behavior audio is corrupted in the end (repeats the end segment a few times like a broken record)

                                                                                  Steps to Reproduce the Problem:

                                                                                  Run the code above on this video with latest moviepy version (don't make fun it's just a trial lol) and you will get this audio which is corrupted (I compressed it in a zip): here

                                                                                  Specifications

                                                                                  Python Version: Python 3.9.9

                                                                                  Moviepy Version: 1.0.3

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-16 at 21:27

                                                                                  may this will help you

                                                                                  from moviepy import *
                                                                                  
                                                                                  clip = VideoFileClip("cut.mp4").subclip(0,1) 
                                                                                  #subclip mean video duration its from the place to start to the end
                                                                                  audio = clip.audio
                                                                                  audio.to_audiofile('temp-audio.mp3')
                                                                                  

                                                                                  I hope I've been helpful

                                                                                  Source https://stackoverflow.com/questions/70733970

                                                                                  QUESTION

                                                                                  NameError: name 'moviepy' is not defined after pip install moviepy
                                                                                  Asked 2022-Jan-16 at 13:02

                                                                                  I'm running into an issue with my moviepy install but I can't figure out where it is going wrong. I have tried pip install moviepy and it says all the requirements are satisfied, but in my editor when I try "from moviepy.editor import *" moviepy is underlined and says ""moviepy": Unknown word." I have tried running pip uninstall moviepy and reinstalling it but that hasn't worked. I'm using selenium in the same project and it works fine which is why I'm confused but if anyone has an idea of what to do I would really appreciate it.

                                                                                  Here is the code if needed, and if you want me to try running something let me know.

                                                                                  main.py

                                                                                  from get_clips import get_clips
                                                                                  from download_clips import download_clips
                                                                                  from upload_clips import upload_clips
                                                                                  from edit_clips import edit_clips
                                                                                  
                                                                                  if __name__ == "__main__":
                                                                                      clips = get_clips()
                                                                                      download_clips(clips)
                                                                                      edit_clips(clips)
                                                                                      #upload_clips(clips)
                                                                                  
                                                                                      print('done')
                                                                                  

                                                                                  edit_clips.py

                                                                                  from moviepy.editor import *
                                                                                  
                                                                                  def edit_clips(clips):
                                                                                      for clip in clips:
                                                                                          video = moviepy.editor.VideoFileClip('D:/zgarw/Documents/Projects/autoclip/tmp/' + clip['slug'] + '.mp4')
                                                                                          video_duration = int(video.duration)
                                                                                          print(video_duration)
                                                                                  

                                                                                  This is the error I'm getting when I run the code.

                                                                                  Traceback (most recent call last):
                                                                                    File "c:\Users\zgarw\Documents\Projects\autoclip\main.py", line 9, in 
                                                                                      edit_clips(clips)
                                                                                    File "c:\Users\zgarw\Documents\Projects\autoclip\edit_clips.py", line 6, in edit_clips
                                                                                      video = moviepy.editor.VideoFileClip('D:/zgarw/Documents/Projects/autoclip/tmp/' + clip['slug'] + '.mp4')
                                                                                  NameError: name 'moviepy' is not defined
                                                                                  

                                                                                  ANSWER

                                                                                  Answered 2021-Aug-11 at 18:11

                                                                                  You're getting the error because you haven't imported the name moviepy into the current namespace. Instead, you imported all the public members of moviepy.editor. Change your code to

                                                                                  video = VideoFileClip('D:/zgarw/Documents/Projects/autoclip/tmp/' + clip['slug'] + '.mp4')
                                                                                  

                                                                                  and it should run fine. If you want to access other modules of moviepy or use your original code, simply do import moviepy.

                                                                                  Source https://stackoverflow.com/questions/68746992

                                                                                  QUESTION

                                                                                  MoviePy: linspace() got an unexpected keyword argument 'dtype'
                                                                                  Asked 2022-Jan-04 at 13:25

                                                                                  Python 2.7.16

                                                                                  I want to work with moviepy on an audio file, but I always get this error. For example, I want to do anything with moviepy, but without involving audio files, it does it without any problem, but when I want to do something with audio it explodes. It seems to me that the problem is with the NumPy library.

                                                                                  Sorry for not putting more information, I have never used python before, what else can I add to complete my question?

                                                                                  ANSWER

                                                                                  Answered 2022-Jan-01 at 17:59

                                                                                  The issue has to do with your version of NumPy, as the dtype argument was added to linspace in 1.9.0. As you've indicated you're currently using version 1.8.0rc1.

                                                                                  There are two ways to upgrade NumPy. You can either download the wheel directly from here and install it manually with pip install /path/to/downloaded/wheel, or you can use the pip install --upgrade numpy command. If pip is outdated however, this command may not fetch the latest numpy version.

                                                                                  Source https://stackoverflow.com/questions/70550547

                                                                                  QUESTION

                                                                                  Downloading a subclip of an .mp4 from URL using Python
                                                                                  Asked 2021-Dec-12 at 22:22

                                                                                  I'm currently working on a Python project that needs to download a segment of a .mp4 file hosted on archive.org. For example, say I'd like to just download 10 seconds of this clip, from 2:30 to 2:40. Is this possible to accomplish in Python without downloading the entire file?

                                                                                  I've looked into moviepy (which I'm using to edit the video -- no issues there), as well as wget and ffmpeg. Any knowledge you can share is helpful, thanks so much!

                                                                                  ANSWER

                                                                                  Answered 2021-Dec-12 at 20:28

                                                                                  For this kind of tasks ffmpeg comes in very handy. There are python wrappers out there but most of them are not very complete.

                                                                                  I think the best solution for you is to download a compiled version from http://www.ffmpeg.org/download.html and use it through Python to download the clip you want.

                                                                                  Once you have downloaded ffmpeg, here's an example usage with python:

                                                                                      import os
                                                                                      os.system('ffmpeg -ss 00:02:30 -i "https://ia800903.us.archive.org/35/items/ArcherProductionsInc/DuckandC1951.mp4" -to 00:00:10 output.mp4')
                                                                                  

                                                                                  What each parameter does:

                                                                                  -ss: is the time at which your clip will start.
                                                                                  -i : is the URL or path to the video.
                                                                                  -to: How long the resulting clip will be / duration of the clip.

                                                                                  Source https://stackoverflow.com/questions/70326940

                                                                                  Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                                                                                  Vulnerabilities

                                                                                  No vulnerabilities reported

                                                                                  Install moviepy

                                                                                  You can download it from GitHub.
                                                                                  You can use moviepy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

                                                                                  Support

                                                                                  For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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