Refactor video rendering functionality in VideoEditor and introduce rendering module
This commit refactors the video rendering process in the VideoEditor class by delegating rendering tasks to a new rendering module. The _render_video_threaded and _render_video_worker methods are replaced with start_render_thread and pump_progress functions, enhancing code organization and maintainability. Additionally, the pyproject.toml file is updated to include the new rendering module, ensuring proper module recognition. This restructuring improves the overall clarity and efficiency of the video rendering workflow.
This commit is contained in:
145
croppa/editor.py
145
croppa/editor.py
@@ -14,6 +14,13 @@ from croppa.capture import Cv2BufferedCap
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from croppa.tracking import MotionTracker
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from croppa.utils import get_active_window_title
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from croppa.project_view import ProjectView
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from croppa.rendering import (
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start_render_thread,
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pump_progress,
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request_cancel,
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is_rendering as rendering_is_rendering,
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cleanup_thread,
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)
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class VideoEditor:
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@@ -2313,145 +2320,13 @@ class VideoEditor:
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return self._render_video_threaded(output_path)
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def _render_video_threaded(self, output_path: str):
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"""Start video rendering in a separate thread"""
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# Check if already rendering
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if self.render_thread and self.render_thread.is_alive():
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print("Render already in progress! Use 'X' to cancel first.")
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return False
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# Reset render state
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self.render_cancelled = False
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# Start render thread
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self.render_thread = threading.Thread(
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target=self._render_video_worker, args=(output_path,), daemon=True
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)
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self.render_thread.start()
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print(f"Started rendering to {output_path} in background thread...")
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print("You can continue editing while rendering. Press 'X' to cancel.")
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return True
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return start_render_thread(self, output_path)
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def _render_video_worker(self, output_path: str):
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"""Worker method that runs in the render thread"""
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render_cap = None
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try:
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if not output_path.endswith(".mp4"):
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output_path += ".mp4"
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start_time = time.time()
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# Send progress update to main thread
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self.render_progress_queue.put(("init", "Initializing render...", 0.0, 0.0))
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# No need to create VideoCapture since we use FFmpeg directly
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# Determine frame range
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start_frame = (
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self.cut_start_frame if self.cut_start_frame is not None else 0
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)
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end_frame = (
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self.cut_end_frame
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if self.cut_end_frame is not None
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else self.total_frames - 1
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)
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if start_frame >= end_frame:
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self.render_progress_queue.put(
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("error", "Invalid cut range!", 1.0, 0.0)
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)
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return False
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# Send progress update
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self.render_progress_queue.put(
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("progress", "Calculating output dimensions...", 0.05, 0.0)
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)
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# Calculate output dimensions (accounting for rotation)
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if self.crop_rect:
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crop_width = int(self.crop_rect[2])
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crop_height = int(self.crop_rect[3])
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else:
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crop_width = self.frame_width
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crop_height = self.frame_height
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# Swap dimensions if rotation is 90 or 270 degrees
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if self.rotation_angle == 90 or self.rotation_angle == 270:
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output_width = int(crop_height * self.zoom_factor)
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output_height = int(crop_width * self.zoom_factor)
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else:
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output_width = int(crop_width * self.zoom_factor)
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output_height = int(crop_height * self.zoom_factor)
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# Ensure dimensions are divisible by 2 for H.264 encoding
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output_width = output_width - (output_width % 2)
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output_height = output_height - (output_height % 2)
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# Send progress update
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self.render_progress_queue.put(
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("progress", "Setting up FFmpeg encoder...", 0.1, 0.0)
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)
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# Debug output dimensions
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print(f"Output dimensions: {output_width}x{output_height}")
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print(f"Zoom factor: {self.zoom_factor}")
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print(f"Crop dimensions: {crop_width}x{crop_height}")
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# Skip all the OpenCV codec bullshit and go straight to FFmpeg
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print("Using FFmpeg for encoding with OpenCV transformations...")
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return self._render_with_ffmpeg_pipe(
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output_path, start_frame, end_frame, output_width, output_height
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)
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except Exception as e:
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error_msg = str(e)
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# Handle specific FFmpeg threading errors
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if "async_lock" in error_msg or "pthread_frame" in error_msg:
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error_msg = "FFmpeg threading error - try restarting the application"
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elif "Assertion" in error_msg:
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error_msg = "Video codec error - the video file may be corrupted or incompatible"
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self.render_progress_queue.put(
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("error", f"Render error: {error_msg}", 1.0, 0.0)
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)
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print(f"Render error: {error_msg}")
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return False
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finally:
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# No cleanup needed since we don't create VideoCapture
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pass
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raise NotImplementedError
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def update_render_progress(self):
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"""Process progress updates from the render thread"""
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try:
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while True:
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# Non-blocking get from queue
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update_type, text, progress, fps = (
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self.render_progress_queue.get_nowait()
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)
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if update_type == "init":
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self.show_progress_bar(text)
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elif update_type == "progress":
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self.update_progress_bar(progress, text, fps)
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elif update_type == "complete":
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self.update_progress_bar(progress, text, fps)
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# Handle file overwrite if this was an overwrite operation
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if (
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hasattr(self, "overwrite_temp_path")
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and self.overwrite_temp_path
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):
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self._handle_overwrite_completion()
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elif update_type == "error":
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self.update_progress_bar(progress, text, fps)
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# Also show error as feedback message for better visibility
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self.show_feedback_message(f"ERROR: {text}")
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elif update_type == "cancelled":
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self.hide_progress_bar()
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self.show_feedback_message("Render cancelled")
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except queue.Empty:
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# No more updates in queue
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pass
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pump_progress(self)
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def _handle_overwrite_completion(self):
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"""Handle file replacement after successful render"""
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