File size: 5,575 Bytes
72cdf8f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
#!/usr/bin/env python3
"""
Generate delta CSV from a directory of frame files.

Outputs left_delta and right_delta in seconds. Nulls only on scene change.

Usage:
    python clean_delta.py /path/to/rgb_dir -o delta.csv
    python clean_delta.py /path/to/rgb_dir -o delta.csv --fps-json fps.json
"""

import argparse
import csv
import json
from pathlib import Path

DEFAULT_FPS: dict[str, float] = {
    # part0 scenes
    "atanasie_DJI_0652_full": 29.97,
    "gradistei_DJI_0787_0788_0789_combined_sliced_3510_13110": 29.97,
    "herculane_DJI_0021_full": 29.97,
    "jupiter_DJI_0703_0704_0705_combined_sliced_10650_21715": 29.97,
    "olanesti_DJI_0416_full": 29.97,
    "petrova_DJI_0525_0526_combined_sliced_2850_11850": 29.97,
    "slanic_DJI_0956_0957_combined_sliced_780_9780": 29.97,
    # part1 scenes
    # (slanic_DJI_0956_0957_combined_sliced_780_9780 already included above)
}


def parse_frame_name(name: str) -> tuple[str, int] | None:
    """
    Parse 'scene_prefix_123' into ('scene_prefix', 123).
    Returns None if name is empty or doesn't end with a number.
    """
    if not name:
        return None

    parts = name.rsplit("_", maxsplit=1)
    if len(parts) != 2:
        return None

    scene_prefix, frame_number_str = parts
    if not frame_number_str.isdigit():
        return None

    return scene_prefix, int(frame_number_str)


def get_fps(scene: str, fps_map: dict[str, float]) -> float:
    """Get FPS for a scene, default to 29.97 if not found."""
    return fps_map.get(scene, 29.97)


def compute_delta_seconds(
    current: str,
    neighbor: str,
    fps_map: dict[str, float],
) -> float | None:
    """
    Compute delta in seconds between current and neighbor.
    Returns None if different scenes.
    """
    current_stem = Path(current).stem
    neighbor_stem = Path(neighbor).stem

    current_parsed = parse_frame_name(current_stem)
    neighbor_parsed = parse_frame_name(neighbor_stem)

    if current_parsed is None or neighbor_parsed is None:
        return None

    current_scene, current_frame = current_parsed
    neighbor_scene, neighbor_frame = neighbor_parsed

    if current_scene != neighbor_scene:
        return None

    fps = get_fps(current_scene, fps_map)
    frame_delta = neighbor_frame - current_frame
    return round(frame_delta / fps, 6)


def load_frame_names(rgb_directory: Path) -> list[str]:
    """Load and sort frame names from rgb directory."""
    frame_names: list[str] = []
    for file_path in rgb_directory.iterdir():
        if file_path.is_file():
            frame_names.append(file_path.name)

    def sort_key(full_name: str) -> tuple[str, int]:
        stem = Path(full_name).stem
        parsed = parse_frame_name(stem)
        if parsed is None:
            return (full_name, 0)
        return parsed

    return sorted(frame_names, key=sort_key)


def generate_delta_csv(
    rgb_directory: Path,
    output_path: Path,
    fps_map: dict[str, float],
) -> None:
    """Generate delta CSV from rgb directory of frames."""
    frame_names = load_frame_names(rgb_directory)
    total_frames = len(frame_names)

    if total_frames == 0:
        print(f"No frames found in {rgb_directory}")
        return

    nulled_left = 0
    nulled_right = 0

    rows: list[dict[str, str | float]] = []

    for i, name in enumerate(frame_names):
        left_name = frame_names[i - 1] if i > 0 else ""
        right_name = frame_names[i + 1] if i < total_frames - 1 else ""

        row: dict[str, str | float] = {"name": name}

        if left_name:
            left_delta = compute_delta_seconds(name, left_name, fps_map)
            if left_delta is not None:
                row["left_name"] = left_name
                row["left_delta"] = left_delta
            else:
                row["left_name"] = ""
                row["left_delta"] = ""
                nulled_left += 1
        else:
            row["left_name"] = ""
            row["left_delta"] = ""

        if right_name:
            right_delta = compute_delta_seconds(name, right_name, fps_map)
            if right_delta is not None:
                row["right_name"] = right_name
                row["right_delta"] = right_delta
            else:
                row["right_name"] = ""
                row["right_delta"] = ""
                nulled_right += 1
        else:
            row["right_name"] = ""
            row["right_delta"] = ""

        rows.append(row)

    fieldnames = ["name", "left_name", "left_delta", "right_name", "right_delta"]
    with open(output_path, "w", newline="") as f:
        writer = csv.DictWriter(f, fieldnames=fieldnames)
        writer.writeheader()
        writer.writerows(rows)

    print(f"Created {output_path}")
    print(f"Total frames: {total_frames}")
    print(f"Nulled left: {nulled_left} (scene change)")
    print(f"Nulled right: {nulled_right} (scene change)")


def main() -> None:
    parser = argparse.ArgumentParser(description="Generate delta CSV from frame files.")
    parser.add_argument("rgb_directory", type=Path, help="RGB directory containing frame files (e.g., .../rgb/part0)")
    parser.add_argument("-o", "--output", type=Path, default=Path("delta.csv"), help="Output CSV path")
    parser.add_argument("--fps-json", type=Path, help="JSON file mapping scene prefix to FPS")

    args = parser.parse_args()

    fps_map = DEFAULT_FPS.copy()
    if args.fps_json:
        with open(args.fps_json) as f:
            fps_map.update(json.load(f))

    generate_delta_csv(args.rgb_directory, args.output, fps_map)


if __name__ == "__main__":
    main()