-
Notifications
You must be signed in to change notification settings - Fork 8
/
Copy pathgen_line_maps.py
261 lines (216 loc) · 10.6 KB
/
gen_line_maps.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
import os
import os.path as osp
from glob import glob
import numpy as np
from shapely.geometry import LineString, Polygon
import cv2
import pickle
from imgaug.augmentables.segmaps import SegmentationMapOnImage
W, H = 28.65, 15.24
def inside_frame(points2d, height, width, margin=0):
valid = np.logical_and(np.logical_and(points2d[:, 0] >= 0+margin, points2d[:, 0] < width-margin),
np.logical_and(points2d[:, 1] >= 0+margin, points2d[:, 1] < height-margin))
points2d = points2d[valid, :]
return points2d, valid
def make_field_circle(center, r, nn=30):
"""
Returns points that lie on a circle on the ground
:param r: radius
:param nn: points per arc?
:return: 3D points on a circle with y = 0
"""
cx, cy, cz = center[0], center[1], center[2]
d = 2 * np.pi * r
n = int(nn * d)
return [(cx+np.cos(2 * np.pi / n * x) * r, cy+0, cz+np.sin(2 * np.pi / n * x) * r) for x in range(0, n + 1)]
def get_field_points():
# rectangles
outer_rect = np.array([[-H/2., 0, -W/2.],
[-H/2., 0, W/2.],
[H/2., 0, W/2.],
[H/2., 0, -W/2.]])
l_ft_rect = np.array([[-2.438, 0., -W/2.],
[ 2.438, 0., -W/2.],
[ 2.438, 0., -W/2.+5.79],
[-2.438, 0., -W/2.+5.79]])
r_ft_rect = np.array([[-2.438, 0., W/2.-5.79],
[ 2.438, 0., W/2.-5.79],
[ 2.438, 0., W/2.],
[-2.438, 0., W/2.]])
# lines
mid_line = np.array([[H/2., 0.,0.],
[-H/2., 0., 0.]])
ul_3pt_line = np.array([[H/2.-0.914, 0.,-W/2.],
[H/2.-0.914, 0., -W/2.+4.267]])
bl_3pt_line = np.array([[-H/2.+0.914, 0.,-W/2.],
[-H/2.+0.914, 0., -W/2.+4.267]])
ur_3pt_line = np.array([[H/2.-0.914, 0.,W/2.],
[H/2.-0.914, 0., W/2.-4.267]])
br_3pt_line = np.array([[-H/2.+0.914, 0.,W/2.],
[-H/2.+0.914, 0., W/2.-4.267]])
# circles
central_circle = np.array(make_field_circle(center=(0,0,0), r=1.8288))
l_ft_circle = np.array(make_field_circle(center=(0,0,-W/2.+5.7912), r=1.8288))
index = l_ft_circle[:, 2] > (-W/2.+5.7912)
l_ft_circle = l_ft_circle[index, :]
r_ft_circle = np.array(make_field_circle(center=(0,0,W/2.-5.7912), r=1.8288))
index = r_ft_circle[:, 2] < (W/2.-5.7912)
r_ft_circle = r_ft_circle[index, :]
l_restricted_circle = np.array(make_field_circle(center=(0,0,-W/2.+1.584), r=1.219))
index = l_restricted_circle[:, 2] > (-W/2.+1.584)
l_restricted_circle = l_restricted_circle[index, :]
r_restricted_circle = np.array(make_field_circle(center=(0,0,W/2.-1.584), r=1.219))
index = r_restricted_circle[:, 2] < (W/2.-1.584)
r_restricted_circle = r_restricted_circle[index, :]
l_3pt_circle = np.array(make_field_circle(center=(0,0,-W/2.+1.584), r=7.239))
index = l_3pt_circle[:, 2] > (-W/2.+4.267)
l_3pt_circle = l_3pt_circle[index, :]
r_3pt_circle = np.array(make_field_circle(center=(0,0,W/2.-1.584), r=7.239))
index = r_3pt_circle[:, 2] < (W/2.-4.267)
r_3pt_circle = r_3pt_circle[index, :]
return [outer_rect, l_ft_rect, r_ft_rect,
mid_line, ul_3pt_line, bl_3pt_line,
ur_3pt_line, br_3pt_line,
central_circle, l_ft_circle, r_ft_circle,
l_restricted_circle, r_restricted_circle,
l_3pt_circle, r_3pt_circle]
def project_field_to_image(cam_params,h,w):
field_list = get_field_points()
field_points2d = []
for i in range(len(field_list)):
field_3d = field_list[i] * 100. # m to cm
if cam_params.shape[0] == 15:
rvec = cam_params[0:3].reshape(3,1)
tvec = cam_params[3:6].reshape(3,1)
mtx = cam_params[6:].reshape(3,3)
cam_distortion = np.zeros(5)
field_2d,_ = cv2.projectPoints(field_3d, rvec, tvec, mtx, cam_distortion)
field_2d = field_2d.reshape(-1,2)
elif cam_params.shape[0] == 16:
proj_mat = cam_params.reshape(4,4)
ones = np.ones((field_3d.shape[0],1))
field_3d_homo = np.concatenate((field_3d,ones),-1)
clip_coord = np.dot(proj_mat, field_3d_homo.T).T
ndc_coord = clip_coord[:,0:3] / clip_coord[:,3:]
raster_coord = np.zeros((ndc_coord.shape[0],2))
raster_coord[:,0] = (ndc_coord[:,0]+1.)*0.5*(w-1)
raster_coord[:,1] = (1-(ndc_coord[:,1]+1.)*0.5)*(h-1)
field_2d, depth = raster_coord, ndc_coord[:,2:]
# behind_points = (depth < 0).nonzero()[0]
# field_2d[behind_points, :] *= -1
field_points2d.append(field_2d)
return field_points2d
def draw_field(cam_params, h, w, thickness=7):
field_points2d = project_field_to_image(cam_params,h,w)
# Check if the entities are 15
assert len(field_points2d) == 15
img_polygon = Polygon([(0, 0), (w - 1, 0), (w - 1, h - 1), (0, h - 1)])
canvas = np.zeros((h, w, 3), dtype=np.uint8)
mask = np.zeros((h, w, 3), dtype=np.uint8)
# Draw the boxes
for i in range(3):
# And make a new image with the projected field
linea = LineString([(field_points2d[i][0, :]),
(field_points2d[i][1, :])])
lineb = LineString([(field_points2d[i][1, :]),
(field_points2d[i][2, :])])
linec = LineString([(field_points2d[i][2, :]),
(field_points2d[i][3, :])])
lined = LineString([(field_points2d[i][3, :]),
(field_points2d[i][0, :])])
if i == 0:
polygon0 = Polygon([(field_points2d[i][0, :]),
(field_points2d[i][1, :]),
(field_points2d[i][2, :]),
(field_points2d[i][3, :])])
intersect0 = img_polygon.intersection(polygon0)
if not intersect0.is_empty:
pts = np.array(list(intersect0.exterior.coords), dtype=np.int32)
pts = pts[:, :].reshape((-1, 1, 2))
cv2.fillConvexPoly(mask, pts, (255, 255, 255))
intersect0 = img_polygon.intersection(linea)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
intersect0 = img_polygon.intersection(lineb)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
# if pts.shape[0] < 2:
# continue
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
intersect0 = img_polygon.intersection(linec)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
# if pts.shape[0] == 2:
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
intersect0 = img_polygon.intersection(lined)
if not intersect0.is_empty:
pts = np.array(list(list(intersect0.coords)), dtype=np.int32)
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
# lines
for i in range(3, 8):
line1 = LineString([(field_points2d[i][0, :]),
(field_points2d[i][1, :])])
intersect1 = img_polygon.intersection(line1)
if not intersect1.is_empty:
pts = np.array(list(list(intersect1.coords)), dtype=np.int32)
# pts = pts[:, :].reshape((-1, 1, 2))
# cv2.fillConvexPoly(canvas, pts, (255, 255, 255), )
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
# Circles
for ii in range(8, 15):
for i in range(field_points2d[ii].shape[0] - 1):
line2 = LineString([(field_points2d[ii][i, :]),
(field_points2d[ii][i + 1, :])])
intersect2 = img_polygon.intersection(line2)
if not intersect2.is_empty:
pts = np.array(list(list(intersect2.coords)), dtype=np.int32)
# pts = pts[:, :].reshape((-1, 1, 2))
# cv2.fillConvexPoly(canvas, pts, (255, 255, 255), )
cv2.line(canvas, (pts[0, 0], pts[0, 1]), (pts[1, 0], pts[1, 1]), (255, 255, 255),thickness)
return canvas[:, :, 0] / 255., mask[:, :, 0] / 255.
def create_dir(dir_name):
if not osp.exists(dir_name):
os.makedirs(dir_name)
return dir_name
def gen_line_map(root_dir, player_name, dir_type, h=800, w=1280):
pose_dir_list = sorted(glob(osp.join(root_dir, 'pose', player_name, dir_type, '*')))
write_dir = osp.join(root_dir, 'court_lines', player_name, dir_type)
os.makedirs(write_dir, exist_ok=True)
for idx, dir_name in enumerate(pose_dir_list):
print(idx, len(pose_dir_list), dir_name)
nba_dir = dir_name.split('/')[-1]
img_path = osp.join(root_dir, 'images', player_name, dir_type, '{}.png'.format(nba_dir))
if not osp.exists(img_path):
print('image does not exist')
continue
proj_mat_path = osp.join(dir_name, 'proj_mat.npy')
if not osp.exists(proj_mat_path):
print('projection matrix does not exist')
continue
# need to check this, some images are close up animations
trans_mat_paths = sorted(glob(osp.join(dir_name, 'players/*_person_v2_transform_v2.npy')))
if len(trans_mat_paths) == 0:
print('no valid players')
continue
proj_mat = np.load(proj_mat_path)
cam_params = proj_mat.copy().ravel()
canvas, mask = draw_field(cam_params, h, w)
canvas = (canvas*255.).astype(np.uint8)
write_path = osp.join(write_dir, img_path.split('/')[-1])
cv2.imwrite(write_path, canvas)
def main():
root_dir = '/mnt/projects/lyzhu/nba/data/release'
player_list = [
'alfred','chad', 'donell', 'erik', 'guy','jamaal','juwan',
'kedrick','martin','nick','randall','zach','zack', 'lamond',
'cedric', 'dion', 'leo', 'lucas', 'brendan', 'oscar', 'barney',
'allen', 'devin', 'darrell', 'bradley', 'glen', 'cory', 'tomas'
]
dir_type_list = ['2ku', 'normal']
for player_name in player_list:
for dir_type in dir_type_list:
new_player_name = 'release/{}'.format(player_name)
gen_line_map(root_dir, new_player_name, dir_type)
if __name__ == '__main__':
main()