Files
py-media-grader/croppa/tracking.py
PhatPhuckDave cb097c55f1 Enhance VideoEditor with improved point transformation, bounds checking, and debugging features
This commit refines the point transformation methods in the VideoEditor class, ensuring coordinates are validated against frame dimensions and crop areas. It adds detailed logging for point transformations and mouse interactions, improving visibility into the state of tracking points. Additionally, it introduces debug features for visualizing crop rectangles and point indices, enhancing the debugging experience during video editing.
2025-09-16 20:32:33 +02:00

175 lines
7.6 KiB
Python

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:
print(f"get_tracking_offset: tracking not enabled, returning (0,0)")
return (0.0, 0.0)
if not self.base_zoom_center:
print(f"get_tracking_offset: no base_zoom_center, returning (0,0)")
return (0.0, 0.0)
current_pos = self.get_interpolated_position(frame_number)
if not current_pos:
print(f"get_tracking_offset: no interpolated position for frame {frame_number}, returning (0,0)")
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]
print(f"get_tracking_offset: frame={frame_number}, base={self.base_zoom_center}, current={current_pos}, offset=({offset_x}, {offset_y})")
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
print(f"start_tracking: base_crop_rect={base_crop_rect}, base_zoom_center={base_zoom_center}")
# If no base_zoom_center is provided, use the center of the crop rect
if base_zoom_center is None and base_crop_rect is not None:
x, y, w, h = base_crop_rect
self.base_zoom_center = (x + w//2, y + h//2)
print(f"start_tracking: using crop center as base_zoom_center: {self.base_zoom_center}")
else:
self.base_zoom_center = base_zoom_center
print(f"start_tracking: using provided base_zoom_center: {self.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)