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import sys
from os.path import join
import time
import random
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cbook
from matplotlib import cm
from matplotlib import animation
# ---------------------------------------------------------------------------
#
# Matplotlib drawing functions
#
# ---------------------------------------------------------------------------
# Generate random hex colors
def rhex():
r = lambda: random.randint(0,255)
return '#%02X%02X%02X' % (r(), r(), r())
# line weight
def generate_3d_landmark_anim(lm, fp_out, num_frames=30, fps=12, dpi=72, size=(480,480),
stroke_weight=2, mark_size=10, mark_type='.', bg_clr=(0,0,0), transparent=False):
'''Generates animated 3D plot of face landmarks
'''
# convert opencv BGR numpy image to RGB
bg_clr_hex = '#%02x%02x%02x' % bg_clr
#mark_clr = '#%02x%02x%02x' % mark_clr
# center x,y,z
xmm = (np.min(lm[:,0]),np.max(lm[:,0]))
ymm = (np.min(lm[:,1]),np.max(lm[:,1]))
zmm = (np.min(lm[:,2]),np.max(lm[:,2]))
# make copy of landmarks
lm_orig = lm.copy()
xmm = (np.min(lm_orig[:,0]),np.max(lm_orig[:,0]))
ymm = (np.min(lm_orig[:,1]),np.max(lm_orig[:,1]))
zmm = (np.min(lm_orig[:,2]),np.max(lm_orig[:,2]))
# swap the y and z components to improve 3d rotation angles for matplotlib
lm = np.zeros_like(lm_orig).astype(np.uint8)
for i,p in enumerate(lm_orig):
x,y,z = p
lm[i] = np.array([x - xmm[0], z - zmm[0], y - ymm[0]])
# Create plot
figsize = (size[0]/dpi, size[1]/dpi )
fig = plt.figure(figsize=figsize, dpi=dpi) # frameon=False
fig.tight_layout()
# remove whitespace in matplotlib
fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)
ax = fig.add_subplot(111, projection='3d')
ax.set_facecolor(bg_clr_hex) # background color
xscale, yscale, zscale = (1.2, 1.0, 1.0)
# scatter plot the dots
# jaw line
mark_clr = '#%02x%02x%02x' % (0,255,0) # green
ax.plot3D(lm[:17,0]*1.2,lm[:17,1], lm[:17,2],
marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# stage-right eyebrow
mark_clr = '#%02x%02x%02x' % (255,0,0) # green
ax.plot3D(lm[17:22,0]*1.2,lm[17:22,1],lm[17:22,2],
marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# stage-left eyebrow
mark_clr = '#%02x%02x%02x' % (255,255,0) # yellow
ax.plot3D(lm[22:27,0]*1.2,lm[22:27,1],lm[22:27,2],
marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# nose ridge
mark_clr = '#%02x%02x%02x' % (0,0,255) # blue
ax.plot3D(lm[27:31,0]*1.2,lm[27:31,1],lm[27:31,2],
marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# nose-bottom
mark_clr = '#%02x%02x%02x' % (255,0,255) # magenta
ax.plot3D(lm[31:36,0]*1.2,lm[31:36,1],lm[31:36,2],
marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# stage-left eye
mark_clr = '#%02x%02x%02x' % (0,255,255) # cyan
px, py, pz = lm[36:42,0]*1.2,lm[36:42,1],lm[36:42,2]
px = np.append(px, lm[36,0]*1.2)
py = np.append(py, lm[36,1])
pz = np.append(pz, lm[36,2])
ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# stage-right eye
mark_clr = '#%02x%02x%02x' % (255,255,255) # white
px, py, pz = lm[42:48,0]*1.2,lm[42:48,1],lm[42:48,2]
px = np.append(px, lm[42,0]*1.2)
py = np.append(py, lm[42,1])
pz = np.append(pz, lm[42,2])
ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr,linewidth=stroke_weight)
# mouth
mark_clr = '#%02x%02x%02x' % (255,125,0) # orange?
px, py, pz = lm[48:,0]*1.2,lm[48:,1],lm[48:,2]
px = np.append(px, lm[48,0]*1.2)
py = np.append(py, lm[48,1])
pz = np.append(pz, lm[48,2])
ax.plot3D(px, py, pz, marker=mark_type, markersize=mark_size, color=mark_clr, linewidth=stroke_weight)
#rh = '#00ff00' # edge color
#ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=35, edgecolor=rh)
#ax.scatter(lm[:,0]*xscale,lm[:,1]*yscale,lm[:,2]*zscale, c=rh, alpha=1.0, s=1)
# center center x,y,z points
cx = ((xmm[0] - xmm[1]) // 2) + xmm[1]
cy = ((ymm[1] - ymm[0]) // 2) + ymm[0]
cz = ((zmm[1] - zmm[0]) // 2) + zmm[0]
# remove ticks
ax.set_xticks([])
ax.set_yticks([])
ax.set_zticks([])
# remove axis
ax.set_frame_on(False)
ax.set_axis_off()
# set initial plot view
ax.view_init(elev=120., azim=70.)
# rotation increments: from 0 to 360 in num_frames
phi = np.linspace(0, 2*np.pi, num_frames)
# animation instruction
def update(phi):
ax.view_init(180,phi*180./np.pi)
ani = matplotlib.animation.FuncAnimation(fig, update, frames=phi)
savefig_kwargs = {'pad_inches': 0, 'transparent': transparent}
ani.save(fp_out, writer='imagemagick', fps=fps, savefig_kwargs=savefig_kwargs)
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