Spaces:
Running
on
Zero
Running
on
Zero
Update visualization/logger.py
Browse files- visualization/logger.py +82 -86
visualization/logger.py
CHANGED
@@ -4,20 +4,28 @@ from typing import Dict, Any, List
|
|
4 |
from utils.geometry import vector3_to_numpy, euler_to_quaternion
|
5 |
|
6 |
|
7 |
-
def create_subject_box(frame: Dict, dimensions: Dict) -> Dict[str, np.ndarray]:
|
|
|
|
|
|
|
|
|
8 |
position = vector3_to_numpy(frame['position'])
|
9 |
-
|
|
|
|
|
|
|
|
|
10 |
|
11 |
return {
|
12 |
'center': position,
|
13 |
-
'half_size':
|
14 |
}
|
15 |
|
16 |
|
17 |
class SimulationLogger:
|
18 |
def __init__(self):
|
19 |
rr.init("camera_simulation")
|
20 |
-
rr.log("world", rr.ViewCoordinates.RIGHT_HAND_Y_UP)
|
21 |
|
22 |
self.K = np.array([
|
23 |
[500, 0, 960],
|
@@ -29,52 +37,72 @@ class SimulationLogger:
|
|
29 |
if not instructions:
|
30 |
return
|
31 |
|
32 |
-
rr.log(
|
33 |
-
"
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
|
|
|
|
|
|
|
|
44 |
|
45 |
-
def log_subjects(self, subjects: List[Dict[str, Any]]
|
|
|
|
|
|
|
|
|
|
|
46 |
if not subjects:
|
47 |
return
|
48 |
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
|
|
53 |
|
54 |
-
|
55 |
-
|
56 |
-
# Use the frame at frame_idx, or the first frame if frame_idx is out of range
|
57 |
-
frame = subject['frames'][min(frame_idx, len(subject['frames']) - 1)]
|
58 |
-
box_params = create_subject_box(frame, subject['dimensions'])
|
59 |
-
centers.append(box_params['center'])
|
60 |
-
half_sizes.append(box_params['half_size'])
|
61 |
-
colors.append([0.8, 0.2, 0.2, 1.0])
|
62 |
-
labels.append(subject.get('objectClass', 'Unknown'))
|
63 |
-
except Exception as e:
|
64 |
-
print(f"Error creating box parameters: {str(e)}")
|
65 |
-
continue
|
66 |
|
67 |
-
|
68 |
-
|
69 |
-
|
70 |
-
|
71 |
-
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
|
76 |
-
|
77 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
78 |
|
79 |
def log_camera_trajectory(self, camera_frames: List[Dict[str, Any]]) -> None:
|
80 |
if not camera_frames:
|
@@ -88,36 +116,29 @@ class SimulationLogger:
|
|
88 |
"world/camera_trajectory",
|
89 |
rr.Points3D(
|
90 |
camera_positions,
|
91 |
-
colors=np.full((len(camera_positions), 4),
|
92 |
-
|
93 |
-
|
94 |
)
|
95 |
|
96 |
if len(camera_positions) > 1:
|
97 |
-
lines = np.stack(
|
98 |
-
[camera_positions[:-1], camera_positions[1:]], axis=1)
|
99 |
rr.log(
|
100 |
"world/camera_trajectory/line",
|
101 |
rr.LineStrips3D(
|
102 |
lines,
|
103 |
colors=[(0.0, 0.8, 0.8, 1.0)]
|
104 |
-
)
|
|
|
105 |
)
|
106 |
|
107 |
except Exception as e:
|
108 |
print(f"Error logging camera trajectory: {str(e)}")
|
109 |
|
110 |
-
def log_camera_frames(self, camera_frames: List[Dict[str, Any]]
|
111 |
-
"""Log camera frames and optionally their corresponding subjects"""
|
112 |
-
if subjects is None:
|
113 |
-
subjects = []
|
114 |
if not camera_frames:
|
115 |
return
|
116 |
|
117 |
-
# First log the camera trajectory
|
118 |
-
self.log_camera_trajectory(camera_frames)
|
119 |
-
|
120 |
-
# Then log each frame with its corresponding subject positions
|
121 |
for frame_idx, camera_frame in enumerate(camera_frames):
|
122 |
try:
|
123 |
rr.set_time_sequence("frame_idx", frame_idx)
|
@@ -142,9 +163,6 @@ class SimulationLogger:
|
|
142 |
)
|
143 |
)
|
144 |
|
145 |
-
# Log subjects for this frame
|
146 |
-
self.log_subjects(subjects, frame_idx)
|
147 |
-
|
148 |
except Exception as e:
|
149 |
print(f"Error logging camera frame {frame_idx}: {str(e)}")
|
150 |
|
@@ -161,32 +179,10 @@ class SimulationLogger:
|
|
161 |
helper_positions,
|
162 |
radii=np.full(len(helper_positions), 0.03),
|
163 |
colors=np.full((len(helper_positions), 4), [1.0, 1.0, 0.0, 1.0]),
|
164 |
-
)
|
|
|
165 |
)
|
166 |
|
167 |
for keyframe_idx, helper_keyframe in enumerate(helper_keyframes):
|
168 |
try:
|
169 |
-
|
170 |
-
rotation_q = euler_to_quaternion(helper_keyframe['angle'])
|
171 |
-
|
172 |
-
rr.log(
|
173 |
-
f"world/helper_camera_{keyframe_idx}",
|
174 |
-
rr.Transform3D(
|
175 |
-
translation=position,
|
176 |
-
rotation=rr.Quaternion(xyzw=rotation_q),
|
177 |
-
scale=(.5, .5, .5)
|
178 |
-
)
|
179 |
-
)
|
180 |
-
|
181 |
-
rr.log(
|
182 |
-
f"world/helper_camera_{keyframe_idx}/image",
|
183 |
-
rr.Pinhole(
|
184 |
-
image_from_camera=self.K,
|
185 |
-
width=1920,
|
186 |
-
height=1080,
|
187 |
-
)
|
188 |
-
)
|
189 |
-
|
190 |
-
except Exception as e:
|
191 |
-
print(
|
192 |
-
f"Error logging helper keyframe {keyframe_idx}: {str(e)}")
|
|
|
4 |
from utils.geometry import vector3_to_numpy, euler_to_quaternion
|
5 |
|
6 |
|
7 |
+
def create_subject_box(frame: Dict[str, Any], dimensions: Dict[str, float]) -> Dict[str, np.ndarray]:
|
8 |
+
"""
|
9 |
+
Given a single frame (position, rotation) and subject's dimensions,
|
10 |
+
return the center and half_size for a box representation.
|
11 |
+
"""
|
12 |
position = vector3_to_numpy(frame['position'])
|
13 |
+
half_size = np.array([
|
14 |
+
dimensions['width'] / 2.0,
|
15 |
+
dimensions['height'] / 2.0,
|
16 |
+
dimensions['depth'] / 2.0
|
17 |
+
], dtype=np.float32)
|
18 |
|
19 |
return {
|
20 |
'center': position,
|
21 |
+
'half_size': half_size
|
22 |
}
|
23 |
|
24 |
|
25 |
class SimulationLogger:
|
26 |
def __init__(self):
|
27 |
rr.init("camera_simulation")
|
28 |
+
rr.log("world", rr.ViewCoordinates.RIGHT_HAND_Y_UP, timeless=True)
|
29 |
|
30 |
self.K = np.array([
|
31 |
[500, 0, 960],
|
|
|
37 |
if not instructions:
|
38 |
return
|
39 |
|
40 |
+
rr.log(
|
41 |
+
"metadata/instructions",
|
42 |
+
rr.TextDocument(
|
43 |
+
"\n".join([
|
44 |
+
f"Instruction {i+1}:\n"
|
45 |
+
f" Movement: {inst.get('cameraMovement', 'N/A')}\n"
|
46 |
+
f" Easing: {inst.get('movementEasing', 'N/A')}\n"
|
47 |
+
f" Frames: {inst.get('frameCount', 'N/A')}\n"
|
48 |
+
f" Camera Angle: {inst.get('initialCameraAngle', 'N/A')}\n"
|
49 |
+
f" Shot Type: {inst.get('initialShotType', 'N/A')}\n"
|
50 |
+
f" Subject Index: {inst.get('subjectIndex', 'N/A')}"
|
51 |
+
for i, inst in enumerate(instructions)
|
52 |
+
])
|
53 |
+
),
|
54 |
+
timeless=True
|
55 |
+
)
|
56 |
|
57 |
+
def log_subjects(self, subjects: List[Dict[str, Any]]) -> None:
|
58 |
+
"""
|
59 |
+
Updated to handle dynamic subjects:
|
60 |
+
- Each subject has multiple frames (position, rotation).
|
61 |
+
- Subject dimensions (width, height, depth) remain constant across frames.
|
62 |
+
"""
|
63 |
if not subjects:
|
64 |
return
|
65 |
|
66 |
+
# For each subject, log each frame at a different time index.
|
67 |
+
for subject_idx, subject in enumerate(subjects):
|
68 |
+
dimensions = subject.get("dimensions", {})
|
69 |
+
frames = subject.get("frames", [])
|
70 |
+
label = subject.get('objectClass', f"Subject_{subject_idx}")
|
71 |
|
72 |
+
for frame_idx, frame in enumerate(frames):
|
73 |
+
rr.set_time_sequence("frame_idx", frame_idx)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
74 |
|
75 |
+
try:
|
76 |
+
box_params = create_subject_box(frame, dimensions)
|
77 |
+
center = box_params['center']
|
78 |
+
half_size = box_params['half_size']
|
79 |
+
|
80 |
+
# Convert Euler angles to quaternion for rotation
|
81 |
+
rotation_q = euler_to_quaternion(frame['rotation'])
|
82 |
+
|
83 |
+
# 1) Log a transform for the subject so the box is placed at 'center' with correct rotation
|
84 |
+
rr.log(
|
85 |
+
f"world/subjects/subject_{subject_idx}",
|
86 |
+
rr.Transform3D(
|
87 |
+
translation=center,
|
88 |
+
rotation=rr.Quaternion(xyzw=rotation_q)
|
89 |
+
)
|
90 |
+
)
|
91 |
+
|
92 |
+
# 2) Log a box at the origin of the subject's local transform
|
93 |
+
rr.log(
|
94 |
+
f"world/subjects/subject_{subject_idx}/box",
|
95 |
+
rr.Boxes3D(
|
96 |
+
centers=np.array([[0.0, 0.0, 0.0]], dtype=np.float32),
|
97 |
+
half_sizes=np.array([half_size], dtype=np.float32),
|
98 |
+
colors=np.array([[0.8, 0.2, 0.2, 1.0]], dtype=np.float32),
|
99 |
+
labels=[label],
|
100 |
+
show_labels=False,
|
101 |
+
fill_mode="solid"
|
102 |
+
)
|
103 |
+
)
|
104 |
+
except Exception as e:
|
105 |
+
print(f"Error creating box parameters for subject {subject_idx}, frame {frame_idx}: {str(e)}")
|
106 |
|
107 |
def log_camera_trajectory(self, camera_frames: List[Dict[str, Any]]) -> None:
|
108 |
if not camera_frames:
|
|
|
116 |
"world/camera_trajectory",
|
117 |
rr.Points3D(
|
118 |
camera_positions,
|
119 |
+
colors=np.full((len(camera_positions), 4), [0.0, 0.8, 0.8, 1.0])
|
120 |
+
),
|
121 |
+
timeless=True
|
122 |
)
|
123 |
|
124 |
if len(camera_positions) > 1:
|
125 |
+
lines = np.stack([camera_positions[:-1], camera_positions[1:]], axis=1)
|
|
|
126 |
rr.log(
|
127 |
"world/camera_trajectory/line",
|
128 |
rr.LineStrips3D(
|
129 |
lines,
|
130 |
colors=[(0.0, 0.8, 0.8, 1.0)]
|
131 |
+
),
|
132 |
+
timeless=True
|
133 |
)
|
134 |
|
135 |
except Exception as e:
|
136 |
print(f"Error logging camera trajectory: {str(e)}")
|
137 |
|
138 |
+
def log_camera_frames(self, camera_frames: List[Dict[str, Any]]) -> None:
|
|
|
|
|
|
|
139 |
if not camera_frames:
|
140 |
return
|
141 |
|
|
|
|
|
|
|
|
|
142 |
for frame_idx, camera_frame in enumerate(camera_frames):
|
143 |
try:
|
144 |
rr.set_time_sequence("frame_idx", frame_idx)
|
|
|
163 |
)
|
164 |
)
|
165 |
|
|
|
|
|
|
|
166 |
except Exception as e:
|
167 |
print(f"Error logging camera frame {frame_idx}: {str(e)}")
|
168 |
|
|
|
179 |
helper_positions,
|
180 |
radii=np.full(len(helper_positions), 0.03),
|
181 |
colors=np.full((len(helper_positions), 4), [1.0, 1.0, 0.0, 1.0]),
|
182 |
+
),
|
183 |
+
timeless=True
|
184 |
)
|
185 |
|
186 |
for keyframe_idx, helper_keyframe in enumerate(helper_keyframes):
|
187 |
try:
|
188 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|