I will download and upload videos and pictures for $ 5

I will download and upload videos and pictures

Hello, this is Farida Shabbir. Downloading and uploading is my daily routine. I have a very fast internet connection. I will download and upload videos from YouTube, Facebook, Vimeo and Daily Motion Instagram. Here are some services I can do.

  • All the videos, pictures, audios, etc. that I want to download and upload wherever you want.
  • Download Facebook videos and upload them to the social media you want, and vice versa.
  • Upload your files securely to your accounts and send sign-out evidence.
  • Everything about uploading and downloading.

Supported websites:

  • Facebook
  • Youtube
  • Twitter
  • Instagram
  • Dailymotion
  • Vimeo
  • More on request.


  1. All files are unchanged and identical for the upload
  2. Copyrights or violations are your responsibility
  3. I can charge a small fee if research is required.

python – Adjust the playing time of a video to the observed time within the video

I have a video showing a football match. video file match.mp4 consist of several opening ads, the actual game and the half-time / break. As a result, the video file is always longer than the match itself. The properties of match.mp4 looks like this:

Enter image description here

According to my Windows computer, the file has a length of 00:48:36, I want to check this with OpenCV:

import cv2   # version 3.4.2

video = cv2.VideoCapture('match.mp4')
while (True):
   fps = video.get(cv2.CAP_PROP_FPS)                      # 30
   video.set(cv2.CAP_PROP_POS_AVI_RATIO, 1)               # set video to the end
   duration = video.get(cv2.CAP_PROP_POS_MSEC)            # 2,916,633 ms
   total_frames = video.get(cv2.CAP_PROP_FRAME_COUNT)     # 87,499 frames

2,916,633 / (1,000 * 60) = 48 minutes and ~ 37 seconds. I like to work on it and calculate it secondsPerFrame:

secondsPerFrame =  87,499 / 2,916,633 = 0,030000003428611

So, now I know for each frame how many seconds have passed videoTime passes. Within the video, I also watch the gameTime:

Enter image description here

I try to find that gameTime With TesseractOCR and contour acquisition. Sometimes I get the right result, sometimes I get no result and sometimes I get wrong results.


Frame: 211, gameTime: 00:17
Frame: 212, gameTime: 00:18
Frame: 213, gameTime: 00:18
Frame: 214, gameTime: 00:18  
Frame: 215, gameTime: 00:18
Frame: 216, gameTime: 00:18


Frame: 228, gameTime: N/A
Frame: 229, gameTime: N/A
Frame: 230, gameTime: N/A
Frame: 231, gameTime: N/A
Frame: 232, gameTime: N/A
Frame: 233, gameTime: N/A

Wrong / Outliers:

Frame: 1742, gameTime: N/A
Frame: 1743, gameTime: 61:09
Frame: 1744, gameTime: N/A
Frame: 1745, gameTime: 61:09
Frame: 1746, gameTime: 61:09
Frame: 1747, gameTime: 01:09     # should be 61:09

Important to note is the relationship between videoTime and gameTime, Obviously, the two differ as videoTime starts with advertising while gameTime Starts only when the game starts and the time is observed on the scorebox for the first time. However, both variables are closely related because there is a simple linear relationship (with slope 1) between the video and the playing time. 1 sec. In videoTime is also 1 sec. in gameTime,

We can write the linear relationship between the two as follows:

y = mx + b where y is gameTime, m = 1, x = videoTime, b = (-)delay between gameTime and videoTime

So my question is How can we determine b as fast and accurately as possible? My thoughts below:

  • I want to use a limited number of frames. In the first few seconds of the game, events take place that need to be timestamped as quickly as possible
  • It has to be able to handle outliers. So my idea was to use RANCSAC to handle any misinterpretations of time and filter those outliers.
  • My overall script runs in real time, so the method has to be fast. Performing regressions (normal / RANCSAC) takes a long time. As the match progresses, more and more frames are added to the dataset.

My screenplay:

import cv2  
from skimage.measure import LineModelND, ransac

video = cv2.VideoCapture('match.mp4')
previous_frames = ()
frame_count = ()
match_time = ()
counter = 0

def ransac_regression(data, counter):
  model = ransac(data, LineModelND, min_samples=5, residual_threshold=1, max_trials=5)(0)
   matchTime = model.predict_y(counter)

while True:
   ret, frame = video.read()
   if ret:
      if len(previous_frames) == 200:
         time = get_matchtime()
         boolean = checktime()
         if boolean:
            print("Frame: {0}, time: {1}".format(counter, time))
            print("Frame: {0}, time: N/A".format(counter))
         previous_frames = previous_frames(1:)
   if len(match_time) >= 25:
      data = np.column_stack((frame_count, match_time))
      ransac = ransac_regression(data, counter) 
   counter += 1
   key = cv2.waitKey(5)
   if key == ord('q'):


My script works, but I feel like I'm complicating things and there are easier / faster ways to determine the delay between videoTime and gameTime, Thanks in advance for your help!

Twitter video help.

Hello and thanks for reading, I've been promoting Twitter for a while, and I'm getting more and more asked to promote people's videos. I know how to post a video, but then when I add a Youtube link to the tweet and the post, the video disappears and leaves the tweet with both linksets, Twitter and YouTube.

One way I found is to download the video to my phone, create the tweet with a Youtube link, and then load the video from my mobile video because I get them back views, but if the video is already 30,000 and a customer wants me to display / advertise the video, it would be stupid to upload it and start again.

So my question is, is there a way to add a YouTube link to a Twitter video without being the original poster of the video, and without having to upload from my device and start playing zero games, again I know how to adding a YouTube link An original video, but when I cut and paste a link from Twitter and click on the Youtube link, it just gets mixed up, thanks for any help.

canon – why picture and video taken half black, but with eyefinder not see?

Which camera do you use? If it is a DSLR camera (ie, no "mirrorless camera"), the image you see through the viewfinder will not be affected by the shutter speed or aperture settings (unless preview mode is enabled) and will appear as bright as the ambient light.

On the other hand, the live view and video are at least affected by the aperture setting (also known as the aperture area). If the aperture is too small (eg f16, f32), not enough light will pass through the lens and the image will be exposed too dark. Try to set the aperture to the maximum possible value (eg f1.4, f2) and see if this helps.

Record Qt video with the Mednafen emulator

I know that I can record a Qt video with Mednafen with the following syntax:

mednafen -qtrecord videogame ROM.nes

The problem I have is that the video has the native resolution instead of the "filtered" image that I can see on my screen.

Is anyone aware of how I force the video to a better resolution AND also how to filter in my configuration. (I use super2xsai filters)

If that does not work. What is the right approach for recording mednafen windows in Ubuntu?

Encrypt video with Linux to save it to Google Drive

I currently have a Linux-based CCTV system that records CCTV and uploads it to my Google Drive. This has been working for a few years, but I have decided that it should be encrypted.

It will be difficult here. From today's perspective, the files are regularly copied to Google Drive with rclone. If I feel like I need to check something, I can do it from anywhere, just by looking at my gdrive and streaming all the videos a bit.

However, if I encrypt the videos, I'll obviously lose the ability to stream from Gdrive. So, can anyone suggest an encryption method that will allow the videos to be played on any other Linux device that has the key and allow me to? jump forward / backward without having to download the entire video file, which can be several GB, etc.?