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Refactor template matching logic in VideoEditor to use original frame for tracking

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This commit updates the template matching process in the VideoEditor to apply tracking directly on the original frame instead of a cropped region. This change ensures that the template can accurately locate the object in its original position, improving tracking reliability. The code has been simplified by removing the previous cropping logic, enhancing overall clarity and performance during video editing sessions.
This commit is contained in:
PhatPhuckDave
2025-09-26 17:45:19 +02:00
parent 86c31a49d9
commit 92c2e62166
1 changed files with 15 additions and 52 deletions
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65
croppa/main.py
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@@ -1679,35 +1679,15 @@ class VideoEditor:
template_offset = None
if self.template_matching_enabled and self.tracking_template is not None:
if self.current_display_frame is not None:
# Use only the cropped region for much faster template matching
if self.crop_rect:
crop_x, crop_y, crop_w, crop_h = self.crop_rect
# Extract only the cropped region from raw frame
cropped_frame = self.current_display_frame[crop_y:crop_y+crop_h, crop_x:crop_x+crop_w]
if cropped_frame is not None and cropped_frame.size > 0:
# Track template in cropped frame (much faster!)
result = self.track_template(cropped_frame)
if result:
center_x, center_y, confidence = result
print(f"DEBUG: Template match found at ({center_x}, {center_y}) with confidence {confidence:.2f}")
# Apply template matching to the ORIGINAL frame (before motion tracking offset)
# This ensures the template can find the object in its original position
result = self.track_template(self.current_display_frame)
if result:
center_x, center_y, confidence = result
print(f"DEBUG: Template match found at ({center_x}, {center_y}) with confidence {confidence:.2f}")
# Map from cropped frame coordinates to raw frame coordinates
# Add crop offset back
raw_x = center_x + crop_x
raw_y = center_y + crop_y
template_offset = (raw_x, raw_y)
else:
# No crop - use full frame
raw_frame = self.current_display_frame.copy()
if raw_frame is not None:
result = self.track_template(raw_frame)
if result:
center_x, center_y, confidence = result
print(f"DEBUG: Template match found at ({center_x}, {center_y}) with confidence {confidence:.2f}")
# Template matching returns coordinates in raw frame space
template_offset = (center_x, center_y)
# Template matching returns coordinates in raw frame space
template_offset = (center_x, center_y)
# Calculate offset from feature tracking if enabled
feature_offset = None
@@ -1801,29 +1781,12 @@ class VideoEditor:
return None
if self.current_display_frame is not None:
# Use only the cropped region for much faster template matching
if self.crop_rect:
crop_x, crop_y, crop_w, crop_h = self.crop_rect
# Extract only the cropped region from raw frame
cropped_frame = self.current_display_frame[crop_y:crop_y+crop_h, crop_x:crop_x+crop_w]
if cropped_frame is not None and cropped_frame.size > 0:
# Track template in cropped frame (much faster!)
result = self.track_template(cropped_frame)
if result:
center_x, center_y, confidence = result
# Map from cropped frame coordinates to raw frame coordinates
# Add crop offset back
raw_x = center_x + crop_x
raw_y = center_y + crop_y
return (raw_x, raw_y, confidence)
else:
# No crop - use full frame
raw_frame = self.current_display_frame.copy()
if raw_frame is not None:
result = self.track_template(raw_frame)
if result:
center_x, center_y, confidence = result
return (center_x, center_y, confidence)
# Apply template matching to the ORIGINAL frame (before motion tracking offset)
# This ensures the template can find the object in its original position
result = self.track_template(self.current_display_frame)
if result:
center_x, center_y, confidence = result
return (center_x, center_y, confidence)
return None