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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
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Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
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List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
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17 mai 2013, parDans MédiaSPIP, une rubrique a 2 noms : catégorie et rubrique.
Les différents documents stockés dans MédiaSPIP peuvent être rangés dans différentes catégories. On peut créer une catégorie en cliquant sur "publier une catégorie" dans le menu publier en haut à droite ( après authentification ). Une catégorie peut être rangée dans une autre catégorie aussi ce qui fait qu’on peut construire une arborescence de catégories.
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Sur d’autres sites (6069)
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moviepy black border around png when compositing into an MP4
27 août 2022, par OneWorldcompositing a png into an MP4 video creates a black border around the edge.


This is using moviepy 1.0.0


Code below reproduces the MP4 with the attached red text png.




import numpy as np
import moviepy.editor as mped
def composite_txtpng_on_colour():
 bg_color = mped.ColorClip(size=[400, 300], color=np.array([0, 255, 0]).astype(np.uint8),
 duration=2).set_position((0, 0))
 text_png_postition = [5, 5]
 text_png = mped.ImageClip("./txtpng.png", duration=3).set_position((text_png_postition))

 canvas_size = bg_color.size
 stacked_clips = mped.CompositeVideoClip([bg_color, text_png], size=canvas_size).set_duration(2)
 stacked_clips.write_videofile('text_with_black_border_video.mp4', fps=24)

composite_txtpng_on_colour()



The result is an MP4 that can be played in VLC player. A screenshot of the black edge can be seen below :-




Any suggestions to remove the black borders would be much appreciated.


Update : It looks like moviepy does a blit instead of alpha compositing.


def blit(im1, im2, pos=None, mask=None, ismask=False):
 """ Blit an image over another. Blits ``im1`` on ``im2`` as position ``pos=(x,y)``, using the
 ``mask`` if provided. If ``im1`` and ``im2`` are mask pictures
 (2D float arrays) then ``ismask`` must be ``True``.
 """
 if pos is None:
 pos = [0, 0]

 # xp1,yp1,xp2,yp2 = blit area on im2
 # x1,y1,x2,y2 = area of im1 to blit on im2
 xp, yp = pos
 x1 = max(0, -xp)
 y1 = max(0, -yp)
 h1, w1 = im1.shape[:2]
 h2, w2 = im2.shape[:2]
 xp2 = min(w2, xp + w1)
 yp2 = min(h2, yp + h1)
 x2 = min(w1, w2 - xp)
 y2 = min(h1, h2 - yp)
 xp1 = max(0, xp)
 yp1 = max(0, yp)

 if (xp1 >= xp2) or (yp1 >= yp2):
 return im2

 blitted = im1[y1:y2, x1:x2]

 new_im2 = +im2

 if mask is None:
 new_im2[yp1:yp2, xp1:xp2] = blitted
 else:
 mask = mask[y1:y2, x1:x2]
 if len(im1.shape) == 3:
 mask = np.dstack(3 * [mask])
 blit_region = new_im2[yp1:yp2, xp1:xp2]
 new_im2[yp1:yp2, xp1:xp2] = (1.0 * mask * blitted + (1.0 - mask) * blit_region)
 
 return new_im2.astype('uint8') if (not ismask) else new_im2



and so, Rotem is right.


new_im2[yp1:yp2, xp1:xp2] = (1.0 * mask * blitted + (1.0 - mask) * blit_region)



is


(alpha * img_rgb + (1.0 - alpha) * bg)



and this is how moviepy composites. And this is why we see black at the edges.


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ffmpeg to combine two mov files from iPhone
8 octobre 2013, par Jason StallingsI'm trying to combine two videos recorded on an iPhone into one file with ffmpeg.
I've tried everything I could find and I can't get anything to work right.
My current line is
ffmpeg -i 'concat:output.mov|capturedvideo.MOV' -vcodec copy -acodec copy output2.mov
This currently won't work. The end result needs to be played on an iPhone.
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Streaming jpegs live to iphone app
14 février 2012, par RavenIm progressing through taking the depth camera feed from my kinect and streaming it to my iphone app. I have got to stage of being able save jpegs for every frame created from the kinect depth image (30 fps) and save them to the local disk. I have than been able to convert this to mpeg with ffmpeg.
My question is now how can I view this live on my iphone ? Basically I want to view it live on the iphone as you are seeing it coming from the kinect.
Should I use http live streaming and use the segmenter to use apples HttpLiveStreaming functionality ? Or can I stream the raw jpeg image files up in some way as they are saved to disk and than just cycle the images on the phone as they go ?
Im wondering how video conferencing is achieved on the iphone (facetime/skype etc) ? because I'd prefer that it wasnt played inside the video player, just want to display live content on the screen as it happens.
Any ideas ? Thanks in advance