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import math
import cv2
import numpy as np
eps = 0.01
def draw_bodypose(canvas, candidate, subset):
H, W, C = canvas.shape
candidate = np.array(candidate)
subset = np.array(subset)
stickwidth = 4
limbSeq = [
[2, 3],
[2, 6],
[3, 4],
[4, 5],
[6, 7],
[7, 8],
[2, 9],
[9, 10],
[10, 11],
[2, 12],
[12, 13],
[13, 14],
[2, 1],
[1, 15],
[15, 17],
[1, 16],
[16, 18],
[3, 17],
[6, 18],
]
colors = [
[255, 0, 0],
[255, 85, 0],
[255, 170, 0],
[255, 255, 0],
[170, 255, 0],
[85, 255, 0],
[0, 255, 0],
[0, 255, 85],
[0, 255, 170],
[0, 255, 255],
[0, 170, 255],
[0, 85, 255],
[0, 0, 255],
[85, 0, 255],
[170, 0, 255],
[255, 0, 255],
[255, 0, 170],
[255, 0, 85],
]
for i in range(17):
for n in range(len(subset)):
j = np.array(limbSeq[i]) - 1
#print(i, j)
index = subset[n][np.array(limbSeq[i]) - 1]
if -1 in index:
continue
Y = candidate[index.astype(int), 0] * float(W)
X = candidate[index.astype(int), 1] * float(H)
mX = np.mean(X)
mY = np.mean(Y)
length = ((X[0] - X[1]) ** 2 + (Y[0] - Y[1]) ** 2) ** 0.5
angle = math.degrees(math.atan2(X[0] - X[1], Y[0] - Y[1]))
polygon = cv2.ellipse2Poly((int(mY), int(mX)), (int(length / 2), stickwidth), int(angle), 0, 360, 1)
cv2.fillConvexPoly(canvas, polygon, colors[i])
canvas = (canvas * 0.6).astype(np.uint8)
for i in range(18):
for n in range(len(subset)):
index = int(subset[n][i])
if index == -1:
continue
x, y = candidate[index][0:2]
x = int(x * W)
y = int(y * H)
cv2.circle(canvas, (int(x), int(y)), 4, colors[i], thickness=-1)
return canvas
def draw_handpose(canvas, all_hand_peaks):
import matplotlib
H, W, C = canvas.shape
edges = [
[0, 1],
[1, 2],
[2, 3],
[3, 4],
[0, 5],
[5, 6],
[6, 7],
[7, 8],
[0, 9],
[9, 10],
[10, 11],
[11, 12],
[0, 13],
[13, 14],
[14, 15],
[15, 16],
[0, 17],
[17, 18],
[18, 19],
[19, 20],
]
# (person_number*2, 21, 2)
for i in range(len(all_hand_peaks)):
peaks = all_hand_peaks[i]
peaks = np.array(peaks)
for ie, e in enumerate(edges):
x1, y1 = peaks[e[0]]
x2, y2 = peaks[e[1]]
x1 = int(x1 * W)
y1 = int(y1 * H)
x2 = int(x2 * W)
y2 = int(y2 * H)
if x1 > eps and y1 > eps and x2 > eps and y2 > eps:
cv2.line(
canvas,
(x1, y1),
(x2, y2),
matplotlib.colors.hsv_to_rgb([ie / float(len(edges)), 1.0, 1.0]) * 255,
thickness=2,
)
for _, keyponit in enumerate(peaks):
x, y = keyponit
x = int(x * W)
y = int(y * H)
if x > eps and y > eps:
cv2.circle(canvas, (x, y), 4, (0, 0, 255), thickness=-1)
return canvas
def draw_facepose(canvas, all_lmks):
H, W, C = canvas.shape
for lmks in all_lmks:
lmks = np.array(lmks)
for lmk in lmks:
x, y = lmk
x = int(x * W)
y = int(y * H)
if x > eps and y > eps:
cv2.circle(canvas, (x, y), 3, (255, 255, 255), thickness=-1)
return canvas
def draw_pose(pose, height: int, width: int, include_face: bool = True, include_hands: bool = True) -> np.ndarray:
canvas = np.zeros(shape=(height, width, 3), dtype=np.uint8)
candidate = pose["bodies"]
subset = pose["body_scores"]
canvas = draw_bodypose(canvas, candidate, subset)
if include_face:
faces = pose["faces"]
canvas = draw_facepose(canvas, faces)
if include_hands:
hands = pose["hands"]
canvas = draw_handpose(canvas, hands)
return canvas
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