mirror of
https://github.com/3b1b/manim.git
synced 2025-04-13 09:47:07 +00:00
Switched to rgba standard. Quite possibly this will mess something up :)
This commit is contained in:
parent
ca4f540389
commit
bb958b68d7
12 changed files with 109 additions and 68 deletions
57
camera.py
57
camera.py
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@ -20,6 +20,8 @@ class Camera(object):
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#Points in vectorized mobjects with norm greater
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#than this value will be rescaled.
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"max_allowable_norm" : 2*SPACE_WIDTH,
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"image_mode" : "RGBA",
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"n_rgb_coords" : 4,
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}
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def __init__(self, background = None, **kwargs):
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@ -46,18 +48,20 @@ class Camera(object):
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def init_background(self):
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if self.background_image is not None:
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path = get_full_image_path(self.background_image)
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image = Image.open(path).convert('RGB')
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image = Image.open(path).convert(self.image_mode)
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height, width = self.pixel_shape
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#TODO, how to gracefully handle backgrounds
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#with different sizes?
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self.background = np.array(image)[:height, :width]
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else:
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background_rgb = color_to_int_rgb(self.background_color)
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background_rgba = color_to_int_rgba(
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self.background_color, alpha = 0
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)
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self.background = np.zeros(
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list(self.pixel_shape)+[3],
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list(self.pixel_shape)+[self.n_rgb_coords],
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dtype = 'uint8'
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)
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self.background[:,:] = background_rgb
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self.background[:,:] = background_rgba
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def get_image(self):
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return np.array(self.pixel_array)
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@ -88,7 +92,7 @@ class Camera(object):
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self.display_multiple_vectorized_mobjects(vmobjects)
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vmobjects = []
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self.display_point_cloud(
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mobject.points, mobject.rgbs,
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mobject.points, mobject.rgbas,
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self.adjusted_thickness(mobject.stroke_width)
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)
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elif isinstance(mobject, ImageMobject):
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@ -102,11 +106,12 @@ class Camera(object):
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if len(vmobjects) == 0:
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return
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#More efficient to bundle together in one "canvas"
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image = Image.fromarray(self.pixel_array, mode = "RGB")
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image = Image.fromarray(self.pixel_array, mode = self.image_mode)
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canvas = aggdraw.Draw(image)
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for vmobject in vmobjects:
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self.display_vectorized(vmobject, canvas)
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canvas.flush()
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self.pixel_array[:,:] = image
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def display_vectorized(self, vmobject, canvas):
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@ -159,7 +164,7 @@ class Camera(object):
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result += " ".join([start] + cubics + [end])
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return result
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def display_point_cloud(self, points, rgbs, thickness):
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def display_point_cloud(self, points, rgbas, thickness):
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if len(points) == 0:
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return
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points = self.align_points_to_camera(points)
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@ -167,15 +172,16 @@ class Camera(object):
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pixel_coords = self.thickened_coordinates(
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pixel_coords, thickness
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)
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rgb_len = self.pixel_array.shape[2]
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rgbs = (255*rgbs).astype('uint8')
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rgbas = (255*rgbas).astype('uint8')
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target_len = len(pixel_coords)
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factor = target_len/len(rgbs)
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rgbs = np.array([rgbs]*factor).reshape((target_len, 3))
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factor = target_len/len(rgbas)
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rgbas = np.array([rgbas]*factor).reshape((target_len, rgb_len))
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on_screen_indices = self.on_screen_pixels(pixel_coords)
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pixel_coords = pixel_coords[on_screen_indices]
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rgbs = rgbs[on_screen_indices]
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rgbas = rgbas[on_screen_indices]
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ph, pw = self.pixel_shape
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@ -184,9 +190,9 @@ class Camera(object):
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indices = np.dot(pixel_coords, flattener)[:,0]
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indices = indices.astype('int')
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new_pa = self.pixel_array.reshape((ph*pw, 3))
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new_pa[indices] = rgbs
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self.pixel_array = new_pa.reshape((ph, pw, 3))
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new_pa = self.pixel_array.reshape((ph*pw, rgb_len))
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new_pa[indices] = rgbas
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self.pixel_array = new_pa.reshape((ph, pw, rgb_len))
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def display_image_mobject(self, image_mobject):
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corner_coords = self.points_to_pixel_coords(image_mobject.points)
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@ -211,7 +217,7 @@ class Camera(object):
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recentered_coords = all_pixel_coords - ul_coords
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coord_norms = np.linalg.norm(recentered_coords, axis = 1)
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with np.errstate(divide='ignore'):
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with np.errstate(divide = 'ignore'):
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ix_coords, iy_coords = [
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np.divide(
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dim*np.dot(recentered_coords, vect),
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@ -226,11 +232,26 @@ class Camera(object):
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n_to_change = np.sum(to_change)
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inner_flat_coords = iw*iy_coords[to_change] + ix_coords[to_change]
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flat_impa = impa.reshape((iw*ih, rgb_len))
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target_rgbs = flat_impa[inner_flat_coords, :]
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target_rgbas = flat_impa[inner_flat_coords, :]
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flat_pa = self.pixel_array.reshape((ow*oh, rgb_len))
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flat_pa[to_change] = target_rgbs
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image = np.zeros((ow*oh, rgb_len), dtype = 'uint8')
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image[to_change] = target_rgbas
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image = image.reshape((oh, ow, rgb_len))
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self.overlay_rgba_array(image)
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def overlay_rgba_array(self, arr):
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""" Overlays arr onto self.pixel_array with relevant alphas"""
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bg, fg = self.pixel_array/255.0, arr/255.0
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A = 1 - (1 - bg[:,:,3])*(1 - fg[:,:,3])
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alpha_sum = bg[:,:,3] + fg[:,:,3]
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for i in range(3):
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with np.errstate(divide = 'ignore', invalid='ignore'):
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bg[:,:,i] = reduce(op.add, [
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np.divide(arr[:,:,i]*arr[:,:,3], alpha_sum)
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for arr in fg, bg
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])
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bg[:,:,3] = A
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self.pixel_array = (255*bg).astype('uint8')
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def align_points_to_camera(self, points):
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## This is where projection should live
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13
helpers.py
13
helpers.py
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@ -109,21 +109,32 @@ def diag_to_matrix(l_and_u, diag):
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def is_closed(points):
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return np.linalg.norm(points[0] - points[-1]) < CLOSED_THRESHOLD
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## Color
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def color_to_rgb(color):
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return np.array(Color(color).get_rgb())
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def color_to_rgba(color, alpha = 1):
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return np.append(color_to_rgb(color), [alpha])
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def rgb_to_color(rgb):
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try:
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return Color(rgb = rgb)
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except:
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return Color(WHITE)
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def rgba_to_color(rgba):
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return rgb_to_color(rgba[:3])
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def invert_color(color):
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return rgb_to_color(1.0 - color_to_rgb(color))
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def color_to_int_rgb(color):
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return (255*color_to_rgb(color)).astype('uint8')
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def color_to_int_rgba(color, alpha = 255):
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return np.append(color_to_int_rgb(color), alpha)
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def color_gradient(reference_colors, length_of_output):
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if length_of_output == 0:
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return reference_colors[0]
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@ -148,6 +159,8 @@ def average_color(*colors):
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mean_rgb = np.apply_along_axis(np.mean, 0, rgbs)
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return rgb_to_color(mean_rgb)
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###
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def compass_directions(n = 4, start_vect = RIGHT):
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angle = 2*np.pi/n
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return np.array([
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@ -17,11 +17,13 @@ class ImageMobject(Mobject):
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"invert" : False,
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# "use_cache" : True,
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"height": 2.0,
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"image_mode" : "RGBA"
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}
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def __init__(self, filename_or_array, **kwargs):
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digest_config(self, kwargs)
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if isinstance(filename_or_array, str):
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path = get_full_image_path(filename_or_array)
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image = Image.open(path).convert("RGB")
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image = Image.open(path).convert(self.image_mode)
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self.pixel_array = np.array(image)
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else:
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self.pixel_array = np.array(filename_or_array)
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@ -41,9 +43,13 @@ class ImageMobject(Mobject):
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h, w = self.pixel_array.shape[:2]
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self.stretch_to_fit_width(self.height*w/h)
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def set_opacity(self, alpha):
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self.pixel_array[:,:,3] = int(255*alpha)
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return self
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def fade(self, darkness = 0.5):
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self.set_opacity(1 - darkness)
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return self
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@ -3,49 +3,50 @@ from helpers import *
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class PMobject(Mobject):
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def init_points(self):
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self.rgbs = np.zeros((0, 3))
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self.rgbas = np.zeros((0, 4))
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self.points = np.zeros((0, 3))
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return self
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def get_array_attrs(self):
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return Mobject.get_array_attrs(self) + ["rgbs"]
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return Mobject.get_array_attrs(self) + ["rgbas"]
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def add_points(self, points, rgbs = None, color = None):
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def add_points(self, points, rgbas = None, color = None, alpha = 1):
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"""
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points must be a Nx3 numpy array, as must rgbs if it is not None
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points must be a Nx3 numpy array, as must rgbas if it is not None
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"""
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if not isinstance(points, np.ndarray):
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points = np.array(points)
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num_new_points = points.shape[0]
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num_new_points = len(points)
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self.points = np.append(self.points, points, axis = 0)
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if rgbs is None:
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if rgbas is None:
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color = Color(color) if color else self.color
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rgbs = np.array([color.get_rgb()] * num_new_points)
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elif rgbs.shape != points.shape:
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raise Exception("points and rgbs must have same shape")
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self.rgbs = np.append(self.rgbs, rgbs, axis = 0)
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rgbas = np.repeat(
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[color_to_rgba(color, alpha)],
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num_new_points,
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axis = 0
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)
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elif len(rgbas) != len(points):
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raise Exception("points and rgbas must have same shape")
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self.rgbas = np.append(self.rgbas, rgbas, axis = 0)
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return self
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def highlight(self, color = YELLOW_C, family = True, condition = None):
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rgb = Color(color).get_rgb()
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rgba = color_to_rgba(color)
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mobs = self.family_members_with_points() if family else [self]
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for mob in mobs:
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if condition:
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to_change = np.apply_along_axis(condition, 1, mob.points)
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mob.rgbs[to_change, :] = rgb
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mob.rgbas[to_change, :] = rgba
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else:
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mob.rgbs[:,:] = rgb
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mob.rgbas[:,:] = rgba
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return self
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def gradient_highlight(self, start_color, end_color):
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start_rgb, end_rgb = [
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np.array(Color(color).get_rgb())
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for color in start_color, end_color
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]
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start_rgba, end_rgba = map(color_to_rgba, [start_color, end_color])
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for mob in self.family_members_with_points():
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num_points = mob.get_num_points()
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mob.rgbs = np.array([
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interpolate(start_rgb, end_rgb, alpha)
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mob.rgbas = np.array([
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interpolate(start_rgba, end_rgba, alpha)
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for alpha in np.arange(num_points)/float(num_points)
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])
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return self
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@ -53,14 +54,14 @@ class PMobject(Mobject):
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def match_colors(self, mobject):
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Mobject.align_data(self, mobject)
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self.rgbs = np.array(mobject.rgbs)
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self.rgbas = np.array(mobject.rgbas)
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return self
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def filter_out(self, condition):
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for mob in self.family_members_with_points():
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to_eliminate = ~np.apply_along_axis(condition, 1, mob.points)
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mob.points = mob.points[to_eliminate]
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mob.rgbs = mob.rgbs[to_eliminate]
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mob.rgbas = mob.rgbas[to_eliminate]
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return self
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def thin_out(self, factor = 5):
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@ -88,13 +89,13 @@ class PMobject(Mobject):
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return self
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def fade_to(self, color, alpha):
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self.rgbs = interpolate(self.rgbs, np.array(Color(color).rgb), alpha)
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self.rgbas = interpolate(self.rgbas, color_to_rgba(color), alpha)
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for mob in self.submobjects:
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mob.fade_to(color, alpha)
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return self
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def get_all_rgbs(self):
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return self.get_merged_array("rgbs")
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def get_all_rgbas(self):
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return self.get_merged_array("rgbas")
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def ingest_submobjects(self):
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attrs = self.get_array_attrs()
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@ -105,7 +106,7 @@ class PMobject(Mobject):
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return self
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def get_color(self):
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return Color(rgb = self.rgbs[0, :])
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return rgba_to_color(self.rgbas[0, :])
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def point_from_proportion(self, alpha):
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index = alpha*(self.get_num_points()-1)
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@ -126,8 +127,8 @@ class PMobject(Mobject):
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return Point(center)
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def interpolate_color(self, mobject1, mobject2, alpha):
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self.rgbs = interpolate(
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mobject1.rgbs, mobject2.rgbs, alpha
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self.rgbas = interpolate(
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mobject1.rgbas, mobject2.rgbas, alpha
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)
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def pointwise_become_partial(self, mobject, a, b):
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@ -318,8 +318,8 @@ class MoreFiltersMoreLight(FilterScene):
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phi, theta = self.camera.get_phi(), self.camera.get_theta()
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self.set_camera_position(np.pi/2, -np.pi)
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self.original_rgbs = [(255, 255, 255)]
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self.new_rgbs = [self.arrow_rgb]
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self.original_rgbas = [(255, 255, 255)]
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self.new_rgbas = [self.arrow_rgb]
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for bool_array in it.product(*5*[[True, False]]):
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pfs_to_use = VGroup(*[
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pf
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@ -330,7 +330,7 @@ class MoreFiltersMoreLight(FilterScene):
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frame = self.camera.get_image()
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h, w, three = frame.shape
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rgb = frame[3*h/8, 7*w/12]
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self.original_rgbs.append(rgb)
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self.original_rgbas.append(rgb)
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angles = [pf.filter_angle for pf in pfs_to_use]
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p = 0.5
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@ -340,7 +340,7 @@ class MoreFiltersMoreLight(FilterScene):
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if not any(bool_array):
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new_rgb = self.background_rgb
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self.new_rgbs.append(new_rgb)
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self.new_rgbas.append(new_rgb)
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self.camera.reset()
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self.set_camera_position(phi, theta)
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@ -351,9 +351,9 @@ class MoreFiltersMoreLight(FilterScene):
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frame = FilterScene.get_frame(self)
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bool_arrays = [
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(frame[:,:,0] == r) & (frame[:,:,1] == g) & (frame[:,:,2] == b)
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for (r, g, b) in self.original_rgbs
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for (r, g, b) in self.original_rgbas
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]
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for ba, new_rgb in zip(bool_arrays, self.new_rgbs):
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for ba, new_rgb in zip(bool_arrays, self.new_rgbas):
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frame[ba] = new_rgb
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covered = reduce(
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lambda b1, b2 : b1 | b2,
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|
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@ -92,7 +92,7 @@ class SlideWordDownCycloid(Animation):
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time = min(time, 1)
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if time < cut_offs[0]:
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brightness = time/cut_offs[0]
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letter.rgbs = brightness*np.ones(letter.rgbs.shape)
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letter.rgbas = brightness*np.ones(letter.rgbas.shape)
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position = self.path.points[0]
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angle = 0
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elif time < cut_offs[1]:
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@ -63,9 +63,9 @@ def sort_by_color(mob):
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indices = np.argsort(np.apply_along_axis(
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lambda p : -np.linalg.norm(p),
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1,
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mob.rgbs
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mob.rgbas
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))
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mob.rgbs = mob.rgbs[indices]
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mob.rgbas = mob.rgbas[indices]
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mob.points = mob.points[indices]
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@ -108,7 +108,7 @@ def nearest_neighbor_align(mobject1, mobject2):
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)
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new_mob2.add_points(
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mobject2.points[indices],
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rgbs = mobject2.rgbs[indices]
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rgbas = mobject2.rgbas[indices]
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)
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return new_mob1, new_mob2
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@ -334,7 +334,7 @@ class ShowLightAndSlidingObject(MultilayeredScene, TryManyPaths, PhotonScene):
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if path.get_height() > self.total_glass_height:
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path.stretch(0.7, 1)
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path.shift(self.top - path.get_top())
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path.rgbs[:,2] = 0
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path.rgbas[:,2] = 0
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loop = paths.pop(1) ##Bad!
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||||
randy = Randolph()
|
||||
randy.scale(RANDY_SCALE_FACTOR)
|
||||
|
|
|
@ -330,7 +330,7 @@ class FermatsPrincipleStatement(Scene):
|
|||
norms -= np.min(norms)
|
||||
norms /= np.max(norms)
|
||||
alphas = 0.25 + 0.75 * norms * (1 + np.sin(12*angles))/2
|
||||
everything.rgbs = alphas.repeat(3).reshape((len(alphas), 3))
|
||||
everything.rgbas = alphas.repeat(3).reshape((len(alphas), 3))
|
||||
|
||||
Mobject(everything, words).show()
|
||||
|
||||
|
|
|
@ -80,10 +80,10 @@ class HilbertCurveIsPerfect(Scene):
|
|||
closest_point_indices = np.apply_along_axis(
|
||||
np.argmin, 1, distance_matrix
|
||||
)
|
||||
colored_curve.rgbs = sparce_lion.rgbs[closest_point_indices]
|
||||
colored_curve.rgbas = sparce_lion.rgbas[closest_point_indices]
|
||||
line = Line(5*LEFT, 5*RIGHT)
|
||||
Mobject.align_data(line, colored_curve)
|
||||
line.rgbs = colored_curve.rgbs
|
||||
line.rgbas = colored_curve.rgbas
|
||||
|
||||
self.add(lion)
|
||||
self.play(ShowCreation(curve, run_time = 3))
|
||||
|
@ -332,7 +332,7 @@ class PseudoHilbertCurvesDontFillSpace(Scene):
|
|||
square.digest_mobject_attrs()
|
||||
square.scale(2**(-5))
|
||||
square.corner.highlight(
|
||||
Color(rgb = curve.rgbs[curve.get_num_points()/3])
|
||||
Color(rgb = curve.rgbas[curve.get_num_points()/3])
|
||||
)
|
||||
square.shift(
|
||||
grid.get_corner(UP+LEFT)-\
|
||||
|
|
|
@ -474,12 +474,12 @@ class TauPoem(Scene):
|
|||
)
|
||||
blue_rgb = np.array(Color("blue").get_rgb())
|
||||
white_rgb = np.ones(3)
|
||||
circle.rgbs = np.array([
|
||||
circle.rgbas = np.array([
|
||||
alpha * blue_rgb + (1 - alpha) * white_rgb
|
||||
for alpha in np.arange(0, 1, 1.0/len(circle.rgbs))
|
||||
for alpha in np.arange(0, 1, 1.0/len(circle.rgbas))
|
||||
])
|
||||
for index in range(circle.points.shape[0]):
|
||||
circle.rgbs
|
||||
circle.rgbas
|
||||
def trianglify((x, y, z)):
|
||||
norm = np.linalg.norm((x, y, z))
|
||||
comp = complex(x, y)*complex(0, 1)
|
||||
|
|
|
@ -477,7 +477,7 @@ class Scene(object):
|
|||
'-f', 'rawvideo',
|
||||
'-vcodec','rawvideo',
|
||||
'-s', '%dx%d'%(width, height), # size of one frame
|
||||
'-pix_fmt', 'rgb24',
|
||||
'-pix_fmt', 'rgba',
|
||||
'-r', str(fps), # frames per second
|
||||
'-i', '-', # The imput comes from a pipe
|
||||
'-an', # Tells FFMPEG not to expect any audio
|
||||
|
|
Loading…
Add table
Reference in a new issue