Rendered video now accepts non-constant frame interval, storing frames in a tmp dir
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1 changed files with 43 additions and 2 deletions
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@ -9,12 +9,51 @@ import cv2
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import numpy as np
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import zmq
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import tempfile
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from pathlib import Path
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import shutil
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from trap.frame_emitter import DetectionState, Frame
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logger = logging.getLogger("trap.renderer")
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class FrameWriter:
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"""
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Drop-in compatible interface with cv2.VideoWriter, but support variable
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framerate.
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See https://video.stackexchange.com/questions/25811/ffmpeg-make-video-with-non-constant-framerate-from-image-filenames
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"""
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def __init__(self, filename: str, fps: float, frame_size: tuple) -> None:
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self.filename = filename
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self.fps = fps
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self.frame_size = frame_size
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self.tmp_dir = tempfile.TemporaryDirectory(prefix="trap-output-")
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self.i = 0
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def write(self, img: cv2.typing.MatLike):
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self.i += 1
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cv2.imwrite(self.tmp_dir.name + f"/{self.i:07d}.png", img)
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def release(self):
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"""Actually write the video"""
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# ffmpeg -f image2 -ts_from_file 2 -i %d.png out.mp4
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logger.info(f"Write frames from {self.tmp_dir.name} to {self.filename}")
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(
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ffmpeg
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# the magic here is in --ts_from_file which uses the mtime of the file for the interval
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# this makes it possible to have non-constant intervals between frames, which is usefull
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# since we render frames when we get them
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.input(self.tmp_dir.name + "/%07d.png", format="image2", ts_from_file=2)
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.output(self.filename, framerate=self.fps)
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.run()
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)
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logger.info(f"Rm frame directory: {self.tmp_dir.name}")
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self.tmp_dir.cleanup()
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class Renderer:
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def __init__(self, config: Namespace, is_running: BaseEvent):
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self.config = config
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@ -50,6 +89,8 @@ class Renderer:
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filename = self.config.output_dir / f"render_predictions-{date_str}-{self.config.detector}.mp4"
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logger.info(f"Write to {filename}")
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return FrameWriter(str(filename), self.fps, self.frame_size)
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fourcc = cv2.VideoWriter_fourcc(*'vp09')
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return cv2.VideoWriter(str(filename), fourcc, self.fps, self.frame_size)
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@ -138,9 +179,9 @@ def decorate_frame(frame: Frame, prediction_frame: Frame, first_time: float, con
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overlay = np.zeros(frame.img.shape, np.uint8)
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# Fill image with red color(set each pixel to red)
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overlay[:] = (128, 0, 128)
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overlay[:] = (130, 0, 75)
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frame.img = cv2.addWeighted(frame.img, .5, overlay, .5, 0)
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frame.img = cv2.addWeighted(frame.img, .4, overlay, .6, 0)
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img = frame.img
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# all not working:
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