Add motion tracking functionality to VideoEditor

This commit introduces a new MotionTracker class for handling motion tracking during video editing. The VideoEditor class has been updated to integrate motion tracking features, including adding and removing tracking points, interpolating positions, and applying tracking offsets during cropping. The user can toggle motion tracking and clear tracking points via keyboard shortcuts. Additionally, the state management has been enhanced to save and load motion tracking data, improving the overall editing experience.
This commit is contained in:
2025-09-16 19:56:58 +02:00
parent 66b23834fd
commit 85891a5f99
2 changed files with 406 additions and 3 deletions

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croppa/tracking.py Normal file
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from typing import List, Dict, Tuple, Optional
class MotionTracker:
"""Handles motion tracking for crop and pan operations"""
def __init__(self):
self.tracking_points = {} # {frame_number: [(x, y), ...]}
self.tracking_enabled = False
self.base_crop_rect = None # Original crop rect when tracking started
self.base_zoom_center = None # Original zoom center when tracking started
def add_tracking_point(self, frame_number: int, x: int, y: int):
"""Add a tracking point at the specified frame and coordinates"""
if frame_number not in self.tracking_points:
self.tracking_points[frame_number] = []
self.tracking_points[frame_number].append((x, y))
def remove_tracking_point(self, frame_number: int, x: int, y: int, radius: int = 50):
"""Remove a tracking point by frame and proximity to x,y"""
if frame_number not in self.tracking_points:
return False
points = self.tracking_points[frame_number]
for i, (px, py) in enumerate(points):
# Calculate distance between points
distance = ((px - x) ** 2 + (py - y) ** 2) ** 0.5
if distance <= radius:
del points[i]
if not points:
del self.tracking_points[frame_number]
return True
return False
def clear_tracking_points(self):
"""Clear all tracking points"""
self.tracking_points.clear()
def get_tracking_points_for_frame(self, frame_number: int) -> List[Tuple[int, int]]:
"""Get all tracking points for a specific frame"""
return self.tracking_points.get(frame_number, [])
def has_tracking_points(self) -> bool:
"""Check if any tracking points exist"""
return bool(self.tracking_points)
def get_interpolated_position(self, frame_number: int) -> Optional[Tuple[float, float]]:
"""Get interpolated position for a frame based on tracking points"""
if not self.tracking_points:
return None
# Get all frames with tracking points
frames = sorted(self.tracking_points.keys())
if not frames:
return None
# If we have a point at this exact frame, return it
if frame_number in self.tracking_points:
points = self.tracking_points[frame_number]
if points:
# Return average of all points at this frame
avg_x = sum(p[0] for p in points) / len(points)
avg_y = sum(p[1] for p in points) / len(points)
return (avg_x, avg_y)
# If frame is before first tracking point
if frame_number < frames[0]:
points = self.tracking_points[frames[0]]
if points:
avg_x = sum(p[0] for p in points) / len(points)
avg_y = sum(p[1] for p in points) / len(points)
return (avg_x, avg_y)
# If frame is after last tracking point
if frame_number > frames[-1]:
points = self.tracking_points[frames[-1]]
if points:
avg_x = sum(p[0] for p in points) / len(points)
avg_y = sum(p[1] for p in points) / len(points)
return (avg_x, avg_y)
# Find the two frames to interpolate between
for i in range(len(frames) - 1):
if frames[i] <= frame_number <= frames[i + 1]:
frame1, frame2 = frames[i], frames[i + 1]
points1 = self.tracking_points[frame1]
points2 = self.tracking_points[frame2]
if not points1 or not points2:
continue
# Get average positions for each frame
avg_x1 = sum(p[0] for p in points1) / len(points1)
avg_y1 = sum(p[1] for p in points1) / len(points1)
avg_x2 = sum(p[0] for p in points2) / len(points2)
avg_y2 = sum(p[1] for p in points2) / len(points2)
# Linear interpolation
t = (frame_number - frame1) / (frame2 - frame1)
interp_x = avg_x1 + t * (avg_x2 - avg_x1)
interp_y = avg_y1 + t * (avg_y2 - avg_y1)
return (interp_x, interp_y)
return None
def get_tracking_offset(self, frame_number: int) -> Tuple[float, float]:
"""Get the offset to center the crop on the tracked point"""
if not self.tracking_enabled or not self.base_zoom_center:
return (0.0, 0.0)
current_pos = self.get_interpolated_position(frame_number)
if not current_pos:
return (0.0, 0.0)
# Calculate offset to center the crop on the tracked point
# The offset should move the display so the tracked point stays centered
offset_x = current_pos[0] - self.base_zoom_center[0]
offset_y = current_pos[1] - self.base_zoom_center[1]
return (offset_x, offset_y)
def start_tracking(self, base_crop_rect: Tuple[int, int, int, int], base_zoom_center: Tuple[int, int]):
"""Start motion tracking with base positions"""
self.tracking_enabled = True
self.base_crop_rect = base_crop_rect
self.base_zoom_center = base_zoom_center
def stop_tracking(self):
"""Stop motion tracking"""
self.tracking_enabled = False
self.base_crop_rect = None
self.base_zoom_center = None
def to_dict(self) -> Dict:
"""Convert to dictionary for serialization"""
return {
'tracking_points': self.tracking_points,
'tracking_enabled': self.tracking_enabled,
'base_crop_rect': self.base_crop_rect,
'base_zoom_center': self.base_zoom_center
}
def from_dict(self, data: Dict):
"""Load from dictionary for deserialization"""
# Convert string keys back to integers for tracking_points
tracking_points_data = data.get('tracking_points', {})
self.tracking_points = {}
for frame_str, points in tracking_points_data.items():
frame_num = int(frame_str) # Convert string key to integer
self.tracking_points[frame_num] = points
self.tracking_enabled = data.get('tracking_enabled', False)
self.base_crop_rect = data.get('base_crop_rect', None)
self.base_zoom_center = data.get('base_zoom_center', None)