def test_find_objects(filename, expected_screenpos):
clip = ImageClip(filename)
objects = find_objects(clip)
assert len(objects) == len(expected_screenpos)
for i, object_ in enumerate(objects):
assert np.array_equal(object_.screenpos,
np.array(expected_screenpos[i]))
return lambda t: screenpos - 400 * v * d(t - 0.2 * i)
def vortexout(screenpos, i, nletters): # noqa D103
d = lambda t: max(0, t) # damping
a = i * np.pi / nletters # angle of the movement
v = rotMatrix(a).dot([-1, 0])
if i % 2:
v[1] = -v[1]
return lambda t: screenpos + 400 * d(t - 0.1 * i) * rotMatrix(-0.2 * d(t) *
a).dot(v)
# WE USE THE PLUGIN find_objects TO LOCATE AND SEPARATE EACH LETTER
letters = find_objects(cvc) # a list of ImageClips
# WE ANIMATE THE LETTERS
def moveLetters(letters, funcpos): # noqa D103
return [
letter.set_pos(funcpos(letter.screenpos, i, len(letters)))
for i, letter in enumerate(letters)
]
clips = [
CompositeVideoClip(moveLetters(letters, funcpos),
size=screensize).subclip(0, 5)
for funcpos in [vortex, cascade, arrive, vortexout]
from moviepy.editor import *
from moviepy.video.tools.segmenting import find_objects
# Load the image specifying the regions.
im = ImageClip("../../ultracompositing/motif.png")
# Loacate the regions, return a list of ImageClips
regions = find_objects(im)
# Load 7 clips from the US National Parks. Public Domain :D
clips = [
VideoFileClip(n, audio=False).subclip(18, 22) for n in [
"../../videos/romo_0004.mov",
"../../videos/apis-0001.mov",
"../../videos/romo_0001.mov",
"../../videos/elma_s0003.mov",
"../../videos/elma_s0002.mov",
"../../videos/calo-0007.mov",
"../../videos/grsm_0005.mov",
]
]
# fit each clip into its region
comp_clips = [
clip.resize(r.size).with_mask(r.mask).set_pos(r.screenpos)
for clip, r in zip(clips, regions)
]
cc = CompositeVideoClip(comp_clips, im.size)
cc.resize(0.6).write_videofile("../../composition.mp4")