Adding Random Seed for Frame Processing #3416
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jb-ye
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Sep 16, 2024
| random.seed(random_seed) | ||
| frame_indices = sorted(random.sample(range(num_frames), num_frames_target)) | ||
| select_cmd = "select='" + "+".join([f"eq(n\,{idx})" for idx in frame_indices]) + "',setpts=N/TB," | ||
| CONSOLE.print(f"Extracting {num_frames_target} frames using seed-based random selection.") |
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Could u also print the random_seed here as well?
| frame_indices = sorted(random.sample(range(num_frames), num_frames_target)) | ||
| select_cmd = "select='" + "+".join([f"eq(n\,{idx})" for idx in frame_indices]) + "',setpts=N/TB," | ||
| CONSOLE.print(f"Extracting {num_frames_target} frames using seed-based random selection.") | ||
| elif spacing > 1: | ||
| CONSOLE.print("Number of frames to extract:", math.ceil(num_frames / spacing)) |
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Could you also make the print log more clear that the extracted frame is evenly spacing?
| @@ -41,6 +41,10 @@ class VideoToNerfstudioDataset(ColmapConverterToNerfstudioDataset): | |||
| """Feature matching method to use. Vocab tree is recommended for a balance of speed | |||
| and accuracy. Exhaustive is slower but more accurate. Sequential is faster but | |||
| should only be used for videos.""" | |||
| random_seed: Optional[int] = None | |||
| """Random seed to select video frames""" | |||
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Is this random seed for select training set? maybe make it more clear in the comments
jb-ye
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Sep 17, 2024
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This PR relates to the Issue #3048
Background: Currently, frame processing video logic works by sampling N frames from N evenly spaced intervals throughout the video. Although a worthy method, researchers should be allowed to choose frames from a random seed to produce more consistent results.
This PR implements optional --random_seed and --eval_random_seed flags for the ns-process-data video in case a specific seed is requested.
Verification Evidence: Placed a video and a random seed to produce a consistent result
Here is the result
Unit Tests: A function to test_misc that confirms that the random_seed processes the number of frames correctly.
Future Work: After this alternative, finding ways to choose frames based on blurriness and other forms of visual change is necessary. Create an integration test with ns-process-data video since there is only one for image currently.