def save_video(self):
"""
Generate video out of self.state_history and save it. This variable
needs to be updated during the simulation.
"""
import matplotlib.pyplot as plt
from moviepy.editor import VideoClip
from moviepy.video.io.bindings import mplfig_to_npimage
history_of_states = self.state_history
#duration_in_seconds = len(history_of_states) / 4
duration_in_seconds = len(history_of_states)
fig, ax = plt.subplots()
frames_per_second = len(history_of_states) / duration_in_seconds
def make_frame(t):
ax.clear()
ax.grid(False)
ax.imshow(history_of_states[int(t * frames_per_second)],
cmap="gist_ncar")
ax.tick_params(axis='both', which='both', bottom=False,
top=False, left=False, right=False,
labelleft=False, labelbottom=False)
return mplfig_to_npimage(fig)
animation = VideoClip(make_frame, duration=duration_in_seconds)
animation.write_videofile(self.env.video_filename,
fps=frames_per_second)
def video():
if 1:
snd = AudioFileClip("space.mp3")
clip = VideoClip(c.animation, duration=snd.duration / 30.)
clip = clip.set_audio(snd).set_duration(snd.duration / 30.)
clip.write_videofile('cam.mp4', fps=24)
def create_NN_comparison(clip,
h5,
nnh5,
inds2plot=np.arange(100),
pad=400,
outfname=None):
"""
Give movipy.videofile, dlc tracked h5 and RNN h5, plot indices in inds2plot and save as outfname.
"""
tlag = h5.shape[0] - nnh5.shape[0]
h5 = h5[tlag:]
center = medfilt2d(h5[:, 8, :2], [7, 1])
h5 = egoh5(h5)
connections = [[0, 2, 5, 10, 12], [0, 1, 4, 7, 9, 12],
[0, 3, 6, 8, 11, 12], [1, 2, 3], [4, 5, 6], [7, 8],
[9, 10, 11]]
fig, ax = plt.subplots(figsize=(10, 10))
def make_frame(i):
t = inds2plot[int(i * clip.fps)]
ax.clear()
ax.imshow(clip.get_frame((t + tlag) / clip.fps))
for l in connections:
ax.plot(h5[t, l, 0] + center[t, 0],
h5[t, l, 1] + center[t, 1],
color='royalblue',
alpha=0.5,
lw=3)[0]
ax.plot(nnh5[t, l, 0] + center[t, 0],
nnh5[t, l, 1] + center[t, 1],
color='orangered',
alpha=0.5,
lw=3)[0]
ax.set_xlim([center[t, 0] - pad, center[t, 0] + pad])
ax.set_ylim([center[t, 1] - pad, center[t, 1] + pad])
ax.axis('off')
return mplfig_to_npimage(fig)
animation = VideoClip(make_frame, duration=inds2plot.shape[0] / clip.fps)
# animation.write_gif('matplotlib.gif', fps=clip.fps)
if outfname is None:
outfname = 'videos/vid_' + ''.join(
[np.random.choice(list(string.ascii_letters))
for _ in range(20)]) + '.mp4'
animation.write_videofile(outfname,
fps=clip.fps,
audio=False,
threads=12)
print('Video saved as ', outfname)
else:
if outfname[-4:] != '.mp4':
outfname += '.mp4'
outfname = 'videos/' + outfname
animation.write_videofile(outfname,
fps=clip.fps,
audio=False,
threads=12)
print('Video saved as ', outfname)
def save_animation(self, name):
self._index = 0
duration = self.num_data // self.fps
anim = VideoClip(make_frame=self.make_frame, duration=duration)
# anim.write_gif(os.path.join(self.DIR, name), fps=self.fps)
anim.write_videofile(os.path.join(self.DIR, name),
fps=self.fps,
audio=False)
print(duration)
def main():
parser = argparse.ArgumentParser(
prog='AniMaker', description='动画短片制作器by lzy2002 site:lzy2002.com')
parser.add_argument('-i', '--inputs', help='输入文件所在目录', required=True)
parser.add_argument('-o', '--output', help='输出文件', default='movie.mp4')
parser.add_argument('-f', '--fps', help='帧频fps', default=24)
parser.add_argument('-rf', '--recordfps', help='录制帧频fps', default=60)
parser.add_argument('-t', '--time', help='时长s', default=5)
args = parser.parse_args()
animation = VideoClip(make_frame(args.inputs, float(args.recordfps),
int(args.fps), float(args.time)),
duration=float(args.time))
animation.write_videofile(args.output, fps=int(args.fps))
def saveMovie(self, zoomfactor=1.0, savename='None', appendix='', update=False, fps=25):
"""
save tif file as mp4 using moviepy library. The duration of movie file
is determined as 3 times of realtime video.
Input:
zoomfactor = 0.5 (default), save image using resampling
savename = default format [tif file name]_z[zoomefactor].mp4
Return:
VidoeClip object in moviepy library
"""
if ('moviepy' not in dir()):
from moviepy.editor import VideoClip
if ('cv2' not in dir()):
import cv2
if (savename == 'None'):
savename = '{}_z{:.1f}_{}.mp4'.format(self._meta['fname'][:-4], zoomfactor, appendix)
if not update:
if os.path.exists(savename):
if self._debug: print('... movie file already exists: %s' % savename)
return False
if self._single:
if self._debug: print('... not movie file')
return False
cmap = plt.get_cmap(self._meta['cmapname'])
def make_frame(t):
#self._curframe = int(t * (self._frameN - 1) / (self._duration * 3.0))
self._curframe = int(t * fps)
img0 = self.getframe(frame=self._curframe, dtypes='uint8')
if zoomfactor != 1.0:
img0 = cv2.resize(img0, None, fx=zoomfactor, fy=zoomfactor, interpolation=cv2.INTER_CUBIC)
img = np.delete(cmap(img0), 3, 2)
#return img
return (img * 255.0).astype('uint8')
#animation = VideoClip(make_frame, duration=self._duration * 3.0)
animation = VideoClip(make_frame, duration=float(self._meta.N()/fps))
animation.write_videofile(savename, fps=fps, codec='libx264', \
threads=8, audio=False, preset='medium', verbose=False)
self._animation = animation
print("""To play movie file in jupyter notebook:
from IPython.display import Video
Video("{}")""".format(savename))
def trajectory_video(trajectory,
filename,
xlim=(-10, 10),
ylim=(-10, 10),
callback=None,
axisOff=True):
"""Create video of the track and saves it in working directory
Parameters
---------
filename : string
name of the file to be saved into
xlim : touple(2) of float
xlimits of the fideo
ylim : touple(2) of float
ylimits of the video
callback:
what to
axisOff : bool
Returns
--------
saved mp4 video at fiven filepath
"""
WIDTH = 900
HEIGHT = 600
DPI = 150
FPS = 25
DURATION = np.max(trajectory.time) - np.min(trajectory.time)
fig, axis = plt.subplots(figsize=(1.0 * WIDTH / DPI, 1.0 * HEIGHT / DPI),
dpi=DPI)
def make_frame(t):
axis.clear()
(tx, ty) = trajectory.position_for_time(t + np.min(trajectory.time))
axis.plot(tx, ty, "ko")
axis.set_xlim(xlim)
axis.set_ylim(ylim)
axis.set_title("Time {:.2f} s".format(t))
if not callback is None:
callback(axis)
if axisOff:
plt.axis('off')
return mplfig_to_npimage(fig)
animation = VideoClip(make_frame, duration=DURATION)
#animation.write_gif(filename, fps=FPS)
animation.write_videofile(filename, fps=FPS)
pass
def animate_wave_function_collapse(fn, seconds_per_state=0.5):
size = (32, 32)
tn = wfc.seq_target_name(fn, 1, "overlapping", size)
ts, result = dep.create(tn)
full_duration = len(result) * seconds_per_state
def makeframe(t):
state_index = int(t / seconds_per_state)
return result[min(state_index, len(result)-1)]
anim = VideoClip(makeframe, duration=full_duration)
nfn = os.path.splitext(fn)[0] + ".collapse.mp4"
anim.write_videofile(nfn, fps=FRAMERATE)
nfn = os.path.splitext(fn)[0] + ".collapsed.png"
imsave(nfn, result[-1])
def make_skeleton_animation(frames, index, fps, movies_dir):
DEFAULT_FPS = 30.0
def make_frame(t):
verticies = frames[int(t * DEFAULT_FPS)]
edges = zip(range(len(CONNECT)), CONNECT)
arr = render_offscreen(verticies, edges, WIDTH, HEIGHT)
return arr
duration = frames.shape[0] / DEFAULT_FPS
animation = VideoClip(make_frame, duration=duration)
file_path = os.path.join(movies_dir, "sequence_{}.mp4".format(index))
animation.write_videofile(file_path, fps=fps)
def save_movie(make_frame, duration, filename, fps=20):
"""Writes an animation to disk"""
anim = VideoClip(make_frame, duration=duration)
if filename.endswith('.gif'):
anim.write_gif(filename, fps=fps)
elif filename.endswith('.mp4'):
anim.write_videofile(filename, fps=fps)
else:
raise ValueError(
f'Invalid file type for {filename}. Must be .gif or .mp4')
return anim
def ani_gen(self, path, title="", cmap='binary', duration=3e2):
bset.clear()
fig, ax = plt.subplots(1, figsize=(4, 4), facecolor=(1, 1, 1))
def make_frame(t):
ax.clear()
ax.axis('off')
ax.set_title(title, fontsize=16)
self.step()
self.plot(ax, cmap)
return (mplfig_to_npimage(fig))
ani = VideoClip(make_frame, duration=duration)
ani.write_videofile(path, fps=50)
return
class Animation(object):
def __init__(self, fps=24):
self.fps = fps
self.reset()
def reset(self):
self.frames = []
self._iter = -1
def add_frame(self, image):
"""
image should be a (height, width, 3) np.ndarry
"""
self.frames.append(np.copy(image))
def anim_fn(self, fn, data):
"""
fn: a function that returns a plot
data: an iterable
"""
for i in range(len(data)):
p = fn(data[:i])
self.add_frame(p.numpy())
def rotate_3d(self, plot, duration=8):
nframes = duration * self.fps
change_angle = 360.0 / nframes
azim = plot.canvas.azim
for i in range(nframes):
plot.set_camera(azim=azim + i * change_angle)
self.frames.append(plot.numpy())
def _make(self, t):
self._iter += 1
# Weird bug where idx might be = len(self.frames)
idx = min(self._iter, len(self.frames) - 1)
return self.frames[idx]
def save(self, path):
from moviepy.editor import VideoClip
fname, ext = os.path.splitext(path)
duration = (len(self.frames) - 1) / float(self.fps)
self.animation = VideoClip(self._make, duration=duration)
if 'gif' in ext:
self.animation.write_gif(path, fps=self.fps)
else:
self.animation.write_videofile(path, fps=self.fps)
self._iter = -1
def create_animation(name, files, output_path, worker_mem):
'''
Creates an animation single tiff file from a list of tiff files.
'''
sys.stdout = open(os.devnull, "w")
sys.stderr = open(os.devnull, "w")
# Add the last file twice to avoid it getting dropped from the animation.
files.extend(files[-1:])
frame_generator = FrameGenerator(name, files, output_path, worker_mem)
duration = len(files)
animation = VideoClip(frame_generator.make_frame, duration=duration)
animation.write_videofile(os.path.join(output_path, "{}.avi".format(name)),
fps=1,
codec="png")
return name
def run_animation(args, target, outfile):
"""Creates an animated crash based on a still image input"""
stepsize = args.animate
img = util.read_img(target)
bounds = foreground.get_fg_bounds(img.shape[1], args.max_depth)
max_depth = bounds.max_depth
crash_params = crash.CrashParams(
max_depth, args.threshold, args.bg_value, args.rgb_select)
depths = range(max_depth, -stepsize, -stepsize)
depths = [d for d in depths if d > 0]
depths.append(0)
n_frames = len(depths)
n_procs = max(args.in_parallel, 1)
fps = args.fps
duration = len(depths) / fps
img = util.read_img(target)
options = _options(args.reveal_foreground, args.reveal_background,
args.crash, args.reveal_quadrants)
source_img = util.read_img(target)
fg, bounds = foreground.find_foreground(source_img, crash_params)
def make_frame(time):
frame_no = int(round(time * fps))
if frame_no >= n_frames:
frame_no = n_frames - 1
depth = depths[-frame_no]
img = source_img.copy()
if depth:
params = crash.CrashParams(
depth, args.threshold, args.bg_value, args.rgb_select)
new_fg, new_bounds = foreground.trim_foreground(img, fg, params)
new_img = _process_img(img, new_fg, new_bounds, options)
else:
new_img = source_img
return new_img
animation = VideoClip(make_frame, duration=duration)
clip = animation.to_ImageClip(t=duration)
clip.duration = 0.1
clip.write_videofile(outfile, fps=fps, audio=False)
animation.write_videofile("__temp_crash.mp4", fps=fps, audio=False,
preset=args.compression,
threads=args.in_parallel)
os.rename("__temp_crash.mp4", outfile)
def write_video_clip_to_file(self,
video_clip: VideoClip,
output_path: Opt[str] = None,
*,
audio: Union[str, bool] = True,
verbose: bool = False,
progress_bar: bool = True,
**kwargs):
"""
Writes a video clip to file in the specified directory
Parameters
----------
video_clip
output_path
audio
Audio for the video clip. Can be True to enable, False to disable, or an external audio file.
verbose
Whether output to stdout should include extra information during writing
progress_bar
Whether to output progress information to stdout
kwargs
List of other keyword arguments to pass to moviepy's write_videofile
"""
# Prepend crf to ffmpeg_params
ffmpeg_params = ['-crf', str(self.crf)] + self.ffmpeg_params
audio_bitrate = str(self.audio_bitrate) + 'k'
video_clip.write_videofile(output_path,
audio=audio,
preset=self.preset,
codec=self.codec,
audio_codec=self.audio_codec,
audio_bitrate=audio_bitrate,
ffmpeg_params=ffmpeg_params,
**kwargs,
verbose=verbose,
progress_bar=progress_bar)
return output_path
def save_video(self,
video: VideoClip,
video_filename: str,
output_appendix: str = "_output") -> None:
"""Save the resulting video.
:param video: the processed VideoClip
:param video_filename: original file name
:param output_appendix: appendix to add to file
:return: None
"""
output_filename = append_to_file_name(video_filename, output_appendix)
video.set_audio(self.audio)
video.write_videofile(
output_filename,
codec="libx264",
audio_codec="aac",
temp_audiofile=output_filename + ".tmp",
remove_temp=True,
fps=self.video.fps,
)
def render(render_frame, frames, fps, size, filename):
""" Create a movie using the given render_frame function """
# Wrapper so that the render function gets passed a surface to draw to,
# and a frame number.
def make_frame(t):
surface = pygame.Surface(size)
render_frame(surface, int(t*fps))
# Flip the surface around it's x/y axis (main diagonal), to account for display
# issues with the movie rendering.
surface = pygame.transform.rotate(surface, -90)
surface = pygame.transform.flip(surface, True, False)
return pygame.surfarray.pixels3d(surface)
# Create the animation...
animation = VideoClip(make_frame, duration=frames/fps)
# Write to the movie file...
animation.write_videofile(filename, fps=fps)
def show_animation(
self,
a_function_which_returns_an_image_according_to_a_time_variable,
duration=3,
fps=24,
saving_path=None):
"""
the function looks like `func(t)`.
t is a float variable in seconds, for example, 1.2 = 1 second + 0.2 second
"""
def wrap_function(t):
array = a_function_which_returns_an_image_according_to_a_time_variable(
t)
assert isinstance(
array,
np.ndarray), "this function should return an numpy array"
if array.shape[2] == 4:
array = array[:, :, 0:3]
return array
animation = VideoClip(wrap_function, duration=duration)
if self._notebook:
result = animation.ipython_display(fps=fps,
loop=True,
autoplay=True)
self._IPython.display.display(result)
else:
animation.preview(fps=fps)
if saving_path != None:
if len(saving_path.split(".")) > 0:
extension = saving_path.split(".")[-1]
if extension.lower() == "gif":
animation.write_gif(saving_path, fps=fps)
elif extension.lower() == "mp4":
animation.write_videofile(saving_path, fps=fps)
else:
print("you can only save gif or mp4!")
exit()
def run_moving_crash(args, target, outfile):
"""Runs a moving crash based on moving (gif/mp4) inputs"""
video = VideoFileClip(target)
img = video.get_frame(t=0) # first frame of the video
bounds = foreground.get_fg_bounds(img.shape[1], args.max_depth)
max_depth = bounds.max_depth
crash_params = crash.CrashParams(
max_depth, args.threshold, args.bg_value, args.rgb_select)
options = _options(args.reveal_foreground, args.reveal_background,
args.crash, args.reveal_quadrants, args.bg_value)
frames = video.iter_frames(fps=video.fps)
def make_frame(_):
frame = next(frames)
fg, bounds = foreground.find_foreground(frame, crash_params)
return _process_img(frame, fg, bounds, options)
output_video = VideoClip(
make_frame, duration=video.duration-(4/video.fps)) # trim last 4 frms
output_video.write_videofile(
outfile, preset=args.compression, fps=video.fps,
threads=args.in_parallel)
def save_fitness_histogram_movie():
from moviepy.editor import VideoClip
from moviepy.video.io.bindings import mplfig_to_npimage
from algorithm.parameters import params
def make_frame(t):
""" returns an image of the frame at time t """
# ... create the frame with any library
fitness = fitness_list[int(t)]
__sum_fit = sum(fitness)
__mean_fit = float(__sum_fit) / float(len(fitness))
from scipy.stats import tstd, iqr, variation, entropy
__sd_fit = tstd(fitness)
__iqr = iqr(fitness)
__v = variation(fitness)
__e = entropy(fitness)
fig = plt.figure()
plt.hist(fitness) # ,bins=int(params['POPULATION_SIZE']*0.1))
plt.title("Moving Point - Population Fitness Histogram - Generation " +
str(int(t)))
plt.axis([0, 20000, 0, params['POPULATION_SIZE']])
plt.ylabel('#Individuals')
plt.xlabel('Fitness')
plt.grid(True)
__hist_text = "$\mu=" + "{0:.2f}".format(
__mean_fit) + ",\ \sigma=" + "{0:.2f}".format(
__sd_fit) + ",\ entropy=" + "{0:.2f}".format(
__e) + ",\ iqr=" + "{0:.2f}".format(__iqr) + "$"
plt.text(1000, params['POPULATION_SIZE'] * .9, __hist_text)
return mplfig_to_npimage(fig) # (Height x Width x 3) Numpy array
filename = params['FILE_PATH'] + str(
params['TIME_STAMP']) + '/fitnessdistribution'
fps = 1
duration = params['GENERATIONS'] + 1
animation = VideoClip(make_frame, duration=duration)
#animation.resize(width=1280,height=720)
animation.write_videofile(filename + ".mp4", fps=fps) # export as video
def save_video(self):
if self.movie_filename is not None:
history_of_states = self.state_history
duration_in_seconds = len(history_of_states) / 4
fig, ax = plot.subplots()
frames_per_second = len(history_of_states) / duration_in_seconds
def make_frame(t):
ax.clear()
ax.grid(False)
ax.imshow(history_of_states[int(t * frames_per_second)])
ax.tick_params(axis='both',
which='both',
bottom=False,
top=False,
left=False,
right=False,
labelleft=False,
labelbottom=False)
return mplfig_to_npimage(fig)
animation = VideoClip(make_frame, duration=duration_in_seconds)
animation.write_videofile(self.movie_filename,
fps=frames_per_second)
def make_frame(t):
index = int(FPS * t)
canvas = np.zeros(CANVAS_SIZE + (3, ), dtype="uint8")
canvas.fill(255)
for i in range(len(video_dirs)):
im = imread(video_files[i][index])
x, y = i // 2, i % 2 # hardcoded for 4 videos
p = [
x * (IMSIZE[0] + PAD_SIZE + FONT_HEIGHT),
y * (IMSIZE[1] + PAD_SIZE)
]
p[0] += FONT_HEIGHT
p[1] += IMSIZE[1] // 2 - 100
canvas = cv.putText(canvas, title[i], (p[1], p[0]),
cv.FONT_HERSHEY_SIMPLEX, 1, [0, 0, 0], 2,
cv.LINE_AA)
p[1] -= IMSIZE[1] // 2 - 100
p[0] += PAD_SIZE
#stx, sty = x * (IMSIZE[0] + PAD_SIZE), y * (IMSIZE[1] + PAD_SIZE)
canvas[p[0]:p[0] + IMSIZE[0], p[1]:p[1] + IMSIZE[1]] = im
return canvas
animation = VideoClip(make_frame, duration=TOTAL_TIME)
animation.write_videofile(args.output, fps=FPS)
class _Scatter(object):
"""relative frame length is the length of each single frame measured as a fraction of
the whole experiment duration. """
def __init__(self,
visualizer=None,
dimension=3,
relative_frame_length=0.01,
rotate=False,
speedup_factor=1.0,
smoothness_factor=0.5,
export_format='mp4'):
self.visualizer = visualizer
self.dimension = dimension
self.relative_frame_length = relative_frame_length # should be within (0.0, 1.0]
self.duration = self.visualizer.spikes[-1][0] # in ms
self.angle = -90
self.rotate = rotate
self.speedup = speedup_factor
self.scatter_plot = None
self.window_size = self.duration * relative_frame_length # some quantity in ms
self.window_step = self.window_size * smoothness_factor # some quantity in ms
self.window_start = 0
self.window_end = self.window_start + self.window_size
self.frame_count = int(
(self.duration - self.window_size) / self.window_step) + 1
self.fps = int(
(self.frame_count / (self.duration / 1000)) * self.speedup)
if self.fps == 0:
self.fps = 1
# initialise figure and axes and setup other details
self.cbar_not_added = True
self._setup_plot()
self.file_format = export_format
# print("duration", int((self.duration/1000+1)/speedup_factor))
from moviepy.editor import VideoClip
self.anim = VideoClip(self._update_frame,
duration=int(
(self.duration / 1000 + 1) / speedup_factor))
def _change_angle(self):
self.angle = (self.angle + 0.5) % 360
def _setup_plot(self):
self.fig = plt.figure()
if self.dimension == 3:
self.ax = self.fig.add_subplot(111, projection='3d')
self.ax.set_xlim3d(0, self.visualizer.network_dimensions['dim_x'])
self.ax.set_xlabel('x')
self.ax.set_ylim3d(self.visualizer.network_dimensions['max_d'],
self.visualizer.network_dimensions['min_d'])
self.ax.set_ylabel('depth')
self.ax.set_zlim3d(0, self.visualizer.network_dimensions['dim_y'])
self.ax.set_zlabel('y')
else:
self.ax = self.fig.add_subplot(111)
self.ax.set_xlim(0, self.visualizer.network_dimensions['dim_x'])
self.ax.set_xlabel('x')
self.ax.set_ylim(0, self.visualizer.network_dimensions['dim_y'])
self.ax.set_ylabel('y')
self.ax.set_title("Network's subjective sense of reality", fontsize=16)
self.ax.set_autoscale_on(False)
def _update_frame(self, time):
from moviepy.video.io.bindings import mplfig_to_npimage
if self.dimension == 3:
if self.rotate:
self._change_angle()
self.ax.view_init(30, self.angle)
# clear the plot from the old data
if self.scatter_plot is not None:
self.scatter_plot.remove()
# reimplement in a more clever way so that movie generation is in total O(n) not O(nm)
current_frame = []
for s in self.visualizer.spikes:
if s[0] > self.window_end:
self.window_start += self.window_step
self.window_end = self.window_start + self.window_size
break
if s[0] > self.window_start:
current_frame.append((s[1], s[2], s[3]))
current_frame = np.asarray(current_frame)
if current_frame.size > 0:
# be careful of the coordinate-axes orientation. up/down should be x!
if self.dimension == 3:
self.scatter_plot = self.ax.scatter(
current_frame[:, 0],
current_frame[:, 2],
current_frame[:, 1],
s=25,
marker='s',
lw=0,
c=current_frame[:, 2],
cmap=plt.cm.get_cmap(
"brg",
self.visualizer.network_dimensions['max_d'] + 1),
vmin=self.visualizer.network_dimensions['min_d'],
vmax=self.visualizer.network_dimensions['max_d'])
if self.cbar_not_added:
cbar = self.fig.colorbar(self.scatter_plot)
cbar.set_label('Perceived disparity in pixel units',
rotation=270)
cbar.ax.get_yaxis().labelpad = 15
self.cbar_not_added = False
else:
self.scatter_plot = self.ax.scatter(
current_frame[:, 0],
current_frame[:, 1],
s=25,
marker='s',
lw=0,
c=current_frame[:, 2],
cmap=plt.cm.get_cmap(
"brg",
self.visualizer.network_dimensions['max_d'] + 1),
vmin=self.visualizer.network_dimensions['min_d'],
vmax=self.visualizer.network_dimensions['max_d'])
# find some better solution than this flag hack
if self.cbar_not_added:
cbar = self.fig.colorbar(self.scatter_plot)
cbar.set_label('Perceived disparity in pixel units',
rotation=270)
cbar.ax.get_yaxis().labelpad = 15
self.cbar_not_added = False
else:
self.scatter_plot = self.ax.scatter([], [])
return mplfig_to_npimage(self.fig)
def show(self):
plt.show(
) # or better use plt.draw()?, not sure but I think this might freeze when updating...
def save(self):
dim = "3D" if self.dimension == 3 else "2D"
if not os.path.exists("./animations"):
os.makedirs("./animations")
i = 0
while os.path.exists("./animations/{0}_{2}_{1}.gif"
.format(self.visualizer.experiment_name, i, dim)) or \
os.path.exists("./animations/{0}_{2}_{1}.mp4"
.format(self.visualizer.experiment_name, i, dim)):
i += 1
if self.file_format == 'gif':
self.anim.write_gif(filename="./animations/{0}_{2}_{1}.gif".format(
self.visualizer.experiment_name, i, dim),
fps=self.fps,
verbose=self.visualizer.verbose)
elif self.file_format == 'mp4':
print("INFO: Generating movie with duration of {0}s at {1}fps.".
format(int((self.duration / 1000 + 1) / self.speedup),
self.fps))
self.anim.write_videofile(
filename="./animations/{0}_{2}_{1}.mp4".format(
self.visualizer.experiment_name, i, dim),
fps=self.fps,
codec='mpeg4',
bitrate='2000k',
audio=False,
verbose=self.visualizer.verbose)
else:
print("ERROR: The export format is not supported.")
global line
print("time: {time}, line: {lime}".format(time=t, line=line))
# vyplneni trojrozmerneho pole nulami
frame = numpy.zeros((HEIGHT, WIDTH, 3))
# vykresleni jedine vodorovne usecky
if line < HEIGHT:
frame[line].fill(255)
line += 1
return frame
# vytvoreni video klipu
animation = VideoClip(make_frame, duration=10)
# export videa do formatu MPEG-4
animation.write_videofile("line.mp4", fps=24)
# znovunastaveni pocitadla
line = 0
# export videa do formatu Ogg Video File
animation.write_videofile("line.ogv", fps=24)
# znovunastaveni pocitadla
line = 0
# export videa do formatu GIF
animation.write_gif("line.gif", fps=24)
myclip = VideoFileClip('file3763.mov')
iter_frames = myclip.iter_frames()
mean=(0.485, 0.456, 0.406)
std=(0.229, 0.224, 0.225)
def make_frame(t):
orig_img = next(iter_frames)
x, orig_img = load_test_from_numpy(orig_img, ctx=ctx)
ids, scores, bboxes, drivable_maps = net(x.as_in_context(ctx))
# ids, scores, bboxes = [xx[0].asnumpy() for xx in [ids, scores, bboxes]]
ids = ids[0].asnumpy()
scores = scores[0].asnumpy()
bboxes = bboxes[0].asnumpy()
drivable_maps = drivable_maps[0]
# print(ids.context, scores.context, bboxes.context, drivable_maps.context)
mask = drivable_maps.transpose((1,2,0)).as_in_context(mx.cpu())
mask = re_size(mask)
orig_img = plot_drivable_map(orig_img, mask)
res_img = draw_bbox(orig_img, bboxes, scores, ids, thresh=0.5, class_names=CLASSES,colors=colors)
return res_img
animation = VideoClip(make_frame, duration=duration)
animation.write_videofile(name + '.mp4', fps=30)
M_0=np.zeros((2,2*nlags+affine)),
K_0=10*np.eye(2*nlags+affine),
affine=affine)
for state in range(Nmax)],
)
model.add_data(data)
###############
# inference #
###############
from moviepy.video.io.bindings import mplfig_to_npimage
from moviepy.editor import VideoClip
fig = model.make_figure()
plt.set_cmap('terrain')
plot_slice = slice(0,300)
model.plot(fig=fig,draw=False,plot_slice=plot_slice)
def make_frame_mpl(t):
model.resample_model()
model.plot(fig=fig,update=True,draw=False,plot_slice=plot_slice)
plt.tight_layout()
return mplfig_to_npimage(fig)
animation = VideoClip(make_frame_mpl, duration=10)
animation.write_videofile('gibbs.mp4',fps=30)
def export_moviepy(sequence, filename, rate=30, bitrate=None, width=None,
height=None, codec='mpeg4', pixel_format='yuv420p',
autoscale=None, quality=None, verbose=True,
options=None, rate_range=(16, 32)):
"""Export a sequence of images as a standard video file using MoviePy.
Parameters
----------
sequence : any iterator or array of array-like images
The images should have two dimensions plus an
optional third dimensions representing color.
filename : string
name of output file
rate : integer, optional
frame rate of output file, 30 by default
NB: The output frame rate will be limited between `rate_range`
bitrate : integer or string, optional
Preferably use the parameter `quality` for controlling the bitrate.
width : integer, optional
By default, set the width of the images.
height : integer, optional
By default, set the height of the images. If width is specified
and height is not, the height is autoscaled to maintain the aspect
ratio.
codec : string
a valid video encoding, 'mpeg4' by default. Must be supported by the
container format. Examples are {'mpeg4', 'wmv2', 'libx264', 'rawvideo'}
Check https://www.ffmpeg.org/ffmpeg-codecs.html#Video-Encoders.
pixel_format: string, optional
Pixel format, 'yuv420p' by default.
Another possibility is 'bgr24' in combination with the 'rawvideo' codec.
quality: number or string, optional
For 'mpeg4' codec: sets qscale:v. 1 = high quality, 5 = default.
For 'libx264' codec: sets crf. 0 = lossless, 23 = default.
For 'wmv2' codec: sets fraction of lossless bitrate, 0.01 = default
autoscale : boolean, optional
Linearly rescale the brightness to use the full gamut of black to
white values. False by default for uint8 readers, True otherwise.
verbose : boolean, optional
Determines whether MoviePy will print progress. True by default.
options : dictionary, optional
Dictionary of parameters that will be passed to ffmpeg. Avoid using
{'qscale:v', 'crf', 'pixel_format'}.
rate_range : tuple of two numbers
As extreme frame rates have playback issues on many players, by default
the frame rate is limited between 16 and 32. When the desired frame rate
is too low, frames will be multiplied an integer number of times. When
the desired frame rate is too high, frames will be skipped at constant
intervals.
See Also
--------
http://zulko.github.io/moviepy/ref/VideoClip/VideoClip.html#moviepy.video.VideoClip.VideoClip.write_videofile
"""
if VideoClip is None:
raise ImportError('The MoviePy exporter requires moviepy to work.')
if options is None:
options = dict()
ffmpeg_params = []
for key in options:
ffmpeg_params.extend(['-{}'.format(key), str(options[key])])
if rate <= 0:
raise ValueError
export_rate = _normalize_framerate(rate, *rate_range)
clip = VideoClip(CachedFrameGenerator(sequence, rate, autoscale,
to_bgr=(pixel_format == 'bgr24')))
clip.duration = len(sequence) / rate
if not (height is None and width is None):
clip = clip.resize(height=height, width=width)
if codec == 'wmv2' and bitrate is None and quality is None:
quality = 0.01
if quality is not None:
if codec == 'libx264':
ffmpeg_params.extend(['-crf', str(quality)])
elif codec == 'mpeg4':
ffmpeg_params.extend(['-qscale:v', str(quality)])
elif codec == 'wmv2':
if bitrate is not None:
warnings.warn("(wmv) quality is ignored when bitrate is set.")
else:
bitrate = quality * _estimate_bitrate(clip.size, export_rate)
else:
raise NotImplemented
if format is not None:
ffmpeg_params.extend(['-pixel_format', str(pixel_format)])
if bitrate is not None:
bitrate = str(bitrate)
clip.write_videofile(filename, export_rate, codec, bitrate, audio=False,
verbose=verbose, ffmpeg_params=ffmpeg_params)
#print probe.name, "at", probe.position
if probe.name in displayed_probes:
list_lines[line_index].set_data(probe.time_buffer, probe.value_buffer)
line_index+=1
xmin, xmax = ax1.get_xlim()
if o.t > xmax:
ax1.set_xlim(xmin, 2*xmax)
ax1.figure.canvas.draw()
NF_mp.set_data(xrange(0,width), NF.V)
NF_firing.set_data(xrange(0,width), NF.GainFunction(NF.V))
if RECORD_VIDEO:
return mplfig_to_npimage(fig)
else:
return list_lines
from time import time
t0 = time()
print list_obj
## call the animator. blit=True means only re-draw the parts that have changed.
if not RECORD_VIDEO:
anim = animation.FuncAnimation(fig, animate, frames=simulation_time, interval=5 , blit=True, init_func= init, repeat=False)
else:
from moviepy.editor import VideoClip
from moviepy.video.io.bindings import mplfig_to_npimage
anim = VideoClip(animate, duration = simulation_time/60)
anim.write_videofile("bartest_"+str(end_bar-start_bar)+".mp4", fps = 60)
t1 = time()
print((t1 - t0))
plt.show()
# Make super short video (so the analysis is quick!)
vname='brief'
newvideo=os.path.join(cfg['project_path'],'videos',vname+'.mp4')
try: #you need ffmpeg command line interface
subprocess.call(['ffmpeg','-i',video[0],'-ss','00:00:00','-to','00:00:00.4','-c','copy',newvideo])
except:
#for windows:
from moviepy.editor import VideoFileClip,VideoClip
clip = VideoFileClip(video[0])
clip.reader.initialize()
def make_frame(t):
return clip.get_frame(1)
newclip = VideoClip(make_frame, duration=1)
newclip.write_videofile(newvideo,fps=30)
deeplabcut.analyze_videos(path_config_file,[newvideo],save_as_csv=True, destfolder=dfolder)
print("CREATE VIDEO")
deeplabcut.create_labeled_video(path_config_file,[newvideo], destfolder=dfolder)
print("Making plots")
deeplabcut.plot_trajectories(path_config_file,[newvideo], destfolder=dfolder)
print("EXTRACT OUTLIERS")
deeplabcut.extract_outlier_frames(path_config_file,[newvideo],outlieralgorithm='jump',epsilon=0,automatic=True, destfolder=dfolder)
file=os.path.join(cfg['project_path'],'labeled-data',vname,"machinelabels-iter"+ str(cfg['iteration']) + '.h5')
if probe.name in displayed_probes:
list_lines[line_index].set_data(probe.time_buffer, probe.value_buffer)
line_index+=1
xmin, xmax = ax1.get_xlim()
if o.t > xmax:
ax1.set_xlim(xmin, 2*xmax)
ax1.figure.canvas.draw()
NF_mp.set_data(xrange(0,width), NF.V)
NF_firing.set_data(xrange(0,width), NF.GainFunction(NF.V))
if RECORD_VIDEO:
return mplfig_to_npimage(fig)
else:
return list_lines
from time import time
t0 = time()
print list_obj
## call the animator. blit=True means only re-draw the parts that have changed.
if not RECORD_VIDEO:
anim = animation.FuncAnimation(fig, animate, frames=simulation_time, interval=5 , blit=True, init_func= init, repeat=False)
else:
from moviepy.editor import VideoClip
from moviepy.video.io.bindings import mplfig_to_npimage
anim = VideoClip(animate, duration = simulation_time/60)
anim.write_videofile("test2.mp4", fps = 60)
t1 = time()
print((t1 - t0))
plt.show()
import numpy as np
from moviepy.editor import VideoClip
def make_frame(t):
""" returns an image of the frame at time t """
# ... create the frame with any library
return np.zeros((300, 400, 3)) # (Height x Width x 3) Numpy array
animation = VideoClip(make_frame, duration=3) # 3-second clip
# For the export, many options/formats/optimizations are supported
animation.write_videofile("my_animation.mp4", fps=24) # export as video
animation.write_gif("my_animation.gif", fps=24) # export as GIF (slow)
idx = [i for i in range(len(time_sum)-1) if t<=time_sum[i]][0]
# print "======", jpegs[idx/2], "======", idx
delta_fade = time_sum[idx]-time_sum[idx-1]
fade_to = (t-time_sum[idx-1])/delta_fade # fraction
fade_from = 1-fade_to # fraction
frame_for_time_t_BGR_frame0 = fade_from * cv2.imread(jpegs[idx/2],cv2.CV_LOAD_IMAGE_COLOR)
frame_for_time_t_BGR_frame1 = fade_to * cv2.imread(jpegs[idx/2+1],cv2.CV_LOAD_IMAGE_COLOR)
# BLENDED FRAME
frame_for_time_t_BGR_frame01 = frame_for_time_t_BGR_frame0 + frame_for_time_t_BGR_frame1
frame_for_time_t_BGR_frame01 = frame_for_time_t_BGR_frame01.astype('uint8') # convert from float to uint8
frame_for_time_t = cv2.cvtColor(frame_for_time_t_BGR_frame01, cv2.COLOR_BGR2RGB) # BGR-RGB COLOR
return frame_for_time_t
clip = VideoClip(make_frame, duration=time_sum[-1])#.set_audio(audio) # x-second clip
if audio_on:
audio = AudioFileClip("audioclip.mp3")
audio = audio.set_duration(time_sum[-1])
clip = clip.set_audio(audio)
clip.write_videofile("my_animation_%sfps_dummy.mp4" %fps, fps=fps) # export as video
#clip.write_gif("my_animation.gif", fps=24) # export as GIF
def main(argv):
animation = VideoClip(make_frame, duration=60) # durration is seconds
animation.write_videofile("my_animation.mp4", fps=6) # export as video
animation.write_gif("my_animation.gif", fps=6) # export as GIF (slow
def export_moviepy(sequence,
filename,
rate=30,
bitrate=None,
width=None,
height=None,
codec='mpeg4',
pixel_format='yuv420p',
autoscale=None,
quality=None,
verbose=True,
options=None,
rate_range=(16, 32)):
"""Export a sequence of images as a standard video file using MoviePy.
Parameters
----------
sequence : any iterator or array of array-like images
The images should have two dimensions plus an
optional third dimensions representing color.
filename : string
name of output file
rate : integer, optional
frame rate of output file, 30 by default
NB: The output frame rate will be limited between `rate_range`
bitrate : integer or string, optional
Preferably use the parameter `quality` for controlling the bitrate.
width : integer, optional
By default, set the width of the images.
height : integer, optional
By default, set the height of the images. If width is specified
and height is not, the height is autoscaled to maintain the aspect
ratio.
codec : string
a valid video encoding, 'mpeg4' by default. Must be supported by the
container format. Examples are {'mpeg4', 'wmv2', 'libx264', 'rawvideo'}
Check https://www.ffmpeg.org/ffmpeg-codecs.html#Video-Encoders.
pixel_format: string, optional
Pixel format, 'yuv420p' by default.
Another possibility is 'bgr24' in combination with the 'rawvideo' codec.
quality: number or string, optional
For 'mpeg4' codec: sets qscale:v. 1 = high quality, 5 = default.
For 'libx264' codec: sets crf. 0 = lossless, 23 = default.
For 'wmv2' codec: sets fraction of lossless bitrate, 0.01 = default
autoscale : boolean, optional
Linearly rescale the brightness to use the full gamut of black to
white values. False by default for uint8 readers, True otherwise.
verbose : boolean, optional
Determines whether MoviePy will print progress. True by default.
options : dictionary, optional
Dictionary of parameters that will be passed to ffmpeg. Avoid using
{'qscale:v', 'crf', 'pixel_format'}.
rate_range : tuple of two numbers
As extreme frame rates have playback issues on many players, by default
the frame rate is limited between 16 and 32. When the desired frame rate
is too low, frames will be multiplied an integer number of times. When
the desired frame rate is too high, frames will be skipped at constant
intervals.
See Also
--------
http://zulko.github.io/moviepy/ref/VideoClip/VideoClip.html#moviepy.video.VideoClip.VideoClip.write_videofile
"""
if VideoClip is None:
raise ImportError('The MoviePy exporter requires moviepy to work.')
if options is None:
options = dict()
ffmpeg_params = []
for key in options:
ffmpeg_params.extend(['-{}'.format(key), str(options[key])])
if rate <= 0:
raise ValueError
export_rate = _normalize_framerate(rate, *rate_range)
clip = VideoClip(
CachedFrameGenerator(sequence,
rate,
autoscale,
to_bgr=(pixel_format == 'bgr24')))
clip.duration = len(sequence) / rate
if not (height is None and width is None):
clip = clip.resize(height=height, width=width)
if codec == 'wmv2' and bitrate is None and quality is None:
quality = 0.01
if quality is not None:
if codec == 'libx264':
ffmpeg_params.extend(['-crf', str(quality)])
elif codec == 'mpeg4':
ffmpeg_params.extend(['-qscale:v', str(quality)])
elif codec == 'wmv2':
if bitrate is not None:
warnings.warn("(wmv) quality is ignored when bitrate is set.")
else:
bitrate = quality * _estimate_bitrate(clip.size, export_rate)
else:
raise NotImplemented
if format is not None:
ffmpeg_params.extend(['-pixel_format', str(pixel_format)])
if bitrate is not None:
bitrate = str(bitrate)
clip.write_videofile(filename,
export_rate,
codec,
bitrate,
audio=False,
verbose=verbose,
ffmpeg_params=ffmpeg_params)
def draw_animation():
animation = VideoClip(make_frame=make_frame, duration=duration)
animation.write_videofile("matplotlib.mp4", fps=20)
class Animate(object):
"""
Moviepy related functions (based on matplotlib routines below)
"""
def moviepy_update(self, i):
self.update(i)
if SAVE_VEC_FRAMES:
if i * FPS % VEC_FRAME_STEP == 0:
self.save_vec_frame(i)
return mplfig_to_npimage(self.fig) if USE_MOVIEPY else None
def moviepy_animate(self):
self.prepare()
if USE_MOVIEPY:
self.ani = VideoClip(
self.moviepy_update,
duration=self.bf.particles.get_number_of_frames() /
FPS) # FIXME: duration in seconds
else:
for i in range(self.bf.particles.get_number_of_frames()):
print(i)
self.moviepy_update(i)
def moviepy_save_to_file(self, filename):
if USE_MOVIEPY:
self.ani.write_videofile(filename, fps=FPS)
def save_vec_frame(self, i):
self.fig.savefig("%s-frame-ts%d.pdf" % (self.output_filename, i * 30))
"""
Matplotlib related functions
"""
def update(self, i):
"""
Update dynamic particle properties.
"""
if DRAW_PARTICLES:
particles = next(self.particle_data)
if DRAW_TIME:
# FIXME: evtl. in Simulationszeit konvertieren, also *saving_timestep
#self.ax.set_title(r'$t_s$=%3.2f' % (i*FPS))
#self.ax.set_title(r'$t_s$=%03d' % (i*FPS))
self.ax.set_title(r'$t_s$=%d' % (i * FPS))
#self.ax.set_title(r'$t_s$=%d' % (i*FPS), fontsize=80)
if not USE_BOUNDARY_REDRAW:
for (ep, es) in zip(
self.ells, particles
): # FIXME: self.ells = [] after add_artist(e) for e in ells
ep.center = es['position']
if not isinstance(
ep, matplotlib.patches.Circle
): # FIXME: das ist noch nicht so wirklich schön
ep.angle = degrees(es['angle'])
if DRAW_PARTICLE_IDS:
self.labels[es['id']].set_position(xy=es['position'])
### VERSION MIT WIEDERHOLDUNGEN AN RÄNDERN
else:
[box_width, box_height] = self.__box_size
translations = [
np.array([dx, dy]) for dx in [box_width, -box_width, 0]
for dy in [box_height, -box_height, 0]
]
for (ep, es) in zip(
self.ells2, particles
): # FIXME: self.ells = [] after add_artist(e) for e in ells
ep.set_offsets(es['position'] + translations)
if (ep._heights != ep._widths).all():
ep._angles = np.repeat((es['angle']), 9)
if DRAW_PARTICLE_IDS:
self.labels[es['id']].set_position(xy=es['position'])
### ENDE DER 2. Version
def prepare(self):
"""
Initialization of the particle patches.
"""
self.plot_cellspace()
#particles = next(self.particle_data)
particles = next(self.particle_static_data)
if not DRAW_FIG_AXES:
self.ax.axis('off')
if DRAW_PARTICLES:
if not USE_BOUNDARY_REDRAW:
#self.ells = [Ellipse(xy=e['position'], width=2*e['major'], height=2*e['minor'], angle=degrees(e['angle'])) for e in particles]
#self.ells = [getattr(matplotlib.patches, e['type'])(xy=e['position'], width=2*e['major'], height=2*e['minor'], angle=degrees(e['angle'])) for e in particles]
self.ells = []
self.labels = {}
for e in particles: # FIXME: das ist noch nicht so wirklich schön
if e['type'] == "Ellipse":
self.ells.append(
matplotlib.patches.Ellipse(xy=e['position'],
width=2 * e['major'],
height=2 * e['minor'],
angle=degrees(
e['angle'])))
elif e['type'] == "Circle":
self.ells.append(
matplotlib.patches.Circle(xy=e['position'],
radius=e['radius']))
if DRAW_PARTICLE_IDS:
self.labels[e['id']] = self.ax.text(e['position'][0],
e['position'][1],
("%d" % e['id']),
fontsize=12,
color='white')
for e in self.ells:
self.ax.add_artist(e)
k = e.height / e.width
# Antrag (R/G)
""""(r,g,b)=(0,0,1)
if k>0.5:
(g,b) = (0.54902, 0)
"""
# R/B
(r, g, b) = (0, 1, 0)
if k > 0.5:
(r, b) = 1, 0
e.set_facecolor([r, g, b
]) # FIXME: encode angle or particle type
else:
### VERSION MIT WIEDERHOLDUNGEN AN RÄNDERN
self.ells2 = []
[box_width, box_height] = self.__box_size
translations = [
np.array([dx, dy]) for dx in [box_width, -box_width, 0]
for dy in [box_height, -box_height, 0]
]
for e in particles:
if e['type'] == "Ellipse":
# FIXME: this should be done in boundary module!
widths = np.repeat(2 * e['major'], 9)
heights = np.repeat(2 * e['minor'], 9)
angles = np.repeat(degrees(e['angle']), 9)
(r, g, b) = (0, 0, 1)
if e['minor'] / e['major'] > 0.5:
(r, g, b) = (
1, 0, 0
) # probably not too useful, because pinned particles have same color
# (g,b)=(0.54902,0)
elif e['type'] == "Circle":
widths = np.repeat(2 * e['radius'], 9)
heights = np.repeat(2 * e['radius'], 9)
angles = np.repeat(0, 9)
(r, g, b) = (1, 0, 0)
if e['pinned'] == True:
(r, g, b) = (1, 0, 0)
if DRAW_PARTICLE_IDS:
self.labels[e['id']] = self.ax.text(e['position'][0],
e['position'][1],
("%d" % e['id']),
fontsize=12,
color='white')
XY = e['position'] + translations
ec = EllipseCollection(widths,
heights,
angles,
units='x',
offsets=XY,
transOffset=self.ax.transData)
ec.set_facecolor([r, g, b])
self.ells2.append(ec)
self.ax.add_collection(ec)
def plot_cellspace(self):
"""
Plots the Delaunay triangulation of the cellspace.
"""
system = arb()
self.cellspace = DelaunayCellspace(system=system,
grid_points=self.grid_data)
if DRAW_CELLS:
self.ax.triplot(self.cellspace._grid_points[:, 0],
self.cellspace._grid_points[:, 1],
self.cellspace.triang.simplices.copy())
self.__grid_to_box_corners()
(xmin, xmax, ymin, ymax) = self.__box_corners
self.ax.set_xlim(xmin, xmax)
self.ax.set_ylim(ymin, ymax)
if DRAW_CELL_NEIGHBOURS:
### load boundaries as well to show appropriate neighbours
system.cellspace = self.cellspace
from bedsim.boundary import PeriodicBox
self.boundary = PeriodicBox(system=system)
system.boundary = self.boundary
###
np.random.seed(3)
for cell in self.cellspace.cells:
#print("cs = ", cell._simplex)
#if (cell._simplex == np.array([15, 21, 16])).all():
#if (cell._simplex == np.array([15, 11, 10])).all():
#if (cell._simplex == np.array([21, 17, 16])).all():
if (cell._simplex == np.array([5, 1, 0])).all():
cell_points = self.cellspace._grid_points[cell._simplex]
mpoint = np.sum(cell_points, axis=0) / len(cell_points)
for neigh in cell.neighbours:
neigh_cell_points = self.cellspace._grid_points[
neigh._simplex]
neigh_mpoint = np.sum(neigh_cell_points,
axis=0) / len(neigh_cell_points)
self.ax.arrow(mpoint[0],
mpoint[1],
neigh_mpoint[0] - mpoint[0] +
np.random.normal(0, 0.1),
neigh_mpoint[1] - mpoint[1] +
np.random.normal(0, 0.1),
head_width=0.05,
head_length=0.1,
fc='r',
ec='r')
#self.ax.text(mpoint[0], mpoint[1], "I'm a cell")
""" # OBSOLETE:
def animate(self):
self.ani = animation.FuncAnimation(self.fig, self.update, frames=self.bf.particles.get_number_of_frames(), interval=10, blit=True, init_func=self.prepare) # FIXME: frames
def save_to_file(self, filename):
self.ani.save(filename, fps=25, extra_args=['-vcodec', 'libx264'])
"""
def load_from_file(self, filename):
self.bf = BedfileReader(filename)
self.particle_data = self.bf.particles.load_dynamics(
) # FIXME: im Moment ist noch alles dynamisch. Das wird sich aber bald ändern!
self.particle_static_data = self.bf.particles.load_statics()
self.grid_data = self.bf.system.grid
def __init__(self, input_filename, output_filename):
self.ells = []
self.load_from_file(input_filename)
self.fig, self.ax = plt.subplots(figsize=FIGSIZE)
self.ax.set_aspect(1)
self.ax.set_ylim(0, 10) # FIXME
self.ax.set_xlim(0, 10) # FIXME
self.labels = {}
self.__box_size = np.array([10, 10])
self.__box_center = np.array([5, 5])
self.__box_corners = (0, 10, 0, 10)
# matplotlib
# self.animate()
#self.save_to_file(output_filename)
self.output_filename = output_filename
# moviepy
self.moviepy_animate()
self.moviepy_save_to_file(output_filename)
def __grid_to_box_corners(self): ## FIXME: generalize this
"""
Calculate the corners of the simulation box from the cell grid.
"""
[x, y] = self.cellspace._grid_points.transpose()
[xmin, xmax, ymin,
ymax] = [np.amin(x), np.amax(x),
np.amin(y), np.amax(y)]
[width, height] = [xmax - xmin, ymax - ymin]
self.__box_size = np.array([width, height])
self.__box_center = np.array([(xmin + xmax) / 2, (ymin + ymax) / 2])
self.__box_corners = (xmin, xmax, ymin, ymax)
self.extent = np.fabs(np.array([xmax, ymax]) - np.array([xmin, ymin]))
"""
T01,Joint1 = PlanarTransformationMatrix(Angle1,[0,0],np.identity(4))
T12,Joint2 = PlanarTransformationMatrix(Angle2,[0,-Length1],T01)
T23,Endpoint = PlanarTransformationMatrix(0,[0,-Length2],T12)
Radius = 0.5
plt.figure()
ax = plt.gca()
plt.plot([0],[0],'ko')
plt.plot([Joint1[0], Joint2[0], Endpoint[0]],[Joint1[1], Joint2[1], Endpoint[1]],"0.75",lw=3)
plot_link(ax, Joint1, Radius, Length1, Angle1, Joint2,"0.55")
plot_link(ax, Joint2, Radius, Length2, Angle1+Angle2, Endpoint, "0.55")
quick_2D_plot_tool(ax,'x','y','Drawing Rotating Links')
return(ax)
ax1 = plot_2_link_planar_model(np.pi/6,np.pi/6,5,5)
ax2 = plot_2_link_planar_model(np.pi/2,np.pi/2,4,3)
plt.imshow((ax1,ax2))
from moviepy.editor import VideoClip
def make_frame(t):
frame_for_time_t = plot_2_link_planar_model(Angle1[t],Angle2[t],5,5)
return frame_for_time_t # (Height x Width x 3) Numpy array
Angle1 = np.arange(0,np.pi,0.001)
Angle2 = np.arange(0,np.pi/2,0.0005)
animation = VideoClip(make_frame, duration=3) # 3-second clip
# For the export, many options/formats/optimizations are supported
animation.write_videofile("my_animation.mp4", fps=24) # export as video
animation.write_gif("my_animation.gif", fps=24) # export as GIF (slow)
def render_gif(pov_file, args):
prog_args = []
clock_args = {'fps': None,
'initial_clock': 0,
'final_clock': None,
'initial_frame': 0,
'final_frame': None,
}
for arg in args:
if '=' in arg:
key,value = arg.split('=')
key = key.strip().lower()
if key in clock_args:
clock_args[key] = float(value)
else:
prog_args.append(arg)
else:
prog_args.append(arg)
FPS = clock_args['fps']
initial_clock = clock_args['initial_clock']
final_clock = clock_args['final_clock']
initial_frame = clock_args['initial_frame']
final_frame = clock_args['final_frame']
time_scaling = 1.0
if (FPS is not None and
final_clock is not None and
final_frame is not None):
would_be_FPS = (final_frame-initial_frame) / (final_clock-initial_clock)
time_scaling = FPS / would_be_FPS
if FPS is None:
if (final_clock is not None and
final_frame is not None):
FPS = (final_clock-initial_clock) / (final_frame-initial_frame)
else:
raise ValueError('FPS must be set at top of file')
if final_clock is None:
if (FPS is not None and
final_frame is not None):
final_clock = initial_clock + (final_frame-initial_frame)/FPS
else:
raise ValueError('Final_Clock must be set at top of file')
if final_frame is None:
if (FPS is not None and
final_clock is not None):
final_frame = initial_frame + (final_clock-initial_clock)*FPS
else:
raise ValueError('Final_Frame must be set at top of file')
make_frame = frame_gen(pov_file, prog_args, initial_clock, time_scaling)
clip = VideoClip(make_frame, duration=(final_clock-initial_clock)/time_scaling)
# output_gif = pov_file.replace('.pov','.gif')
# clip.write_gif(output_gif, fps=FPS,
# program='ffmpeg')
output_mp4 = pov_file.replace('.pov','.mp4')
clip.write_videofile(output_mp4, fps=FPS,
codec='libx264', bitrate='500k',
audio=False)
print('')
def make_frame(t):
"""Deklarace callback funkce zavolane pri renderingu kazdeho snimku videa."""
offset = 4 * t / DURATION - 2
print(offset)
w = 1 / (z + 2j)**2 + 1 / (z - offset)**2
img = colorize(w)
fig = plt.figure(figsize=(20, 20))
plt.subplot(111)
subplot = fig.add_subplot(111)
subplot.imshow(img)
# konverze na objekt typu "frame"
return mplfig_to_npimage(fig)
# vytvoreni video klipu
animation = VideoClip(make_frame, duration=DURATION)
# export videa do formatu Ogg/Vorbis
animation.write_videofile('complex.ogv',
fps=FPS,
progress_bar=False,
bitrate="800000")
def make_frame(t):
"""Vytvoreni jednoho snimku videa."""
global scale
print("time: {t}, scale: {s}".format(t=t, s=scale))
# vyplneni trojrozmerneho pole nulami
frame = numpy.zeros((HEIGHT, WIDTH, 3))
calc_mandelbrot(WIDTH, HEIGHT, MAXITER, palette_mandmap.palette, x0, y0,
scale, frame)
scale *= scale_factor
return frame
# vytvoreni video klipu
animation = VideoClip(make_frame, duration=15)
# export videa do formatu Ogg Video File
# animation.write_videofile("mandelbrot_zoom.ogv", fps=20, progress_bar=False, bitrate="2000000")
animation.write_videofile("mandelbrot_zoom.ogv",
fps=20,
progress_bar=False,
bitrate="300000")
# export videa do formatu MPEG-4
# animation.write_videofile("mandelbrot_zoom.mp4", fps=20, progress_bar=False, bitrate="700000")
# export videa do formatu GIF
# animation.write_gif("colors.gif", fps=25)
self.program.bind(gloo.VertexBuffer(data))
self.program['u_model'] = self.model
self.program['u_view'] = self.view
self.program['u_size'] = 5 / self.translate
gloo.set_state('translucent', depth_test=False)
self.program['u_clock'] = 0.0
def on_resize(self, event):
width, height = event.size
gloo.set_viewport(0, 0, width, height)
self.projection = perspective(45.0, width / float(height), 1.0, 1000.0)
self.program['u_projection'] = self.projection
def animation(self, t):
""" Added for animation with MoviePy """
self.program['u_clock'] = 2*t
gloo.clear('black')
self.program.draw('points')
return _screenshot((0, 0, self.size[0], self.size[1]))[:,:,:3]
if __name__ == '__main__':
from moviepy.editor import VideoClip
canvas = Canvas()
canvas.show()
clip = VideoClip(canvas.animation, duration=np.pi).resize(0.3)
clip.write_videofile('atom3.mp4', fps=20)
#clip.write_gif('atom3.gif', fps=20, opt='OptimizePlus')
