46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import matplotlib.pyplot as plt
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from latentsync.utils.util import count_video_time, gather_video_paths_recursively
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from tqdm import tqdm
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def plot_histogram(data, fig_path):
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# Create histogram
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plt.hist(data, bins=30, edgecolor="black")
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# Add titles and labels
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plt.title("Histogram of Data Distribution")
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plt.xlabel("Video time")
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plt.ylabel("Frequency")
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# Save plot as an image file
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plt.savefig(fig_path) # Save as PNG file. You can also use 'histogram.jpg', 'histogram.pdf', etc.
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def main(input_dir, fig_path):
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video_paths = gather_video_paths_recursively(input_dir)
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video_times = []
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for video_path in tqdm(video_paths):
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video_times.append(count_video_time(video_path))
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plot_histogram(video_times, fig_path)
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if __name__ == "__main__":
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input_dir = "validation"
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fig_path = "histogram.png"
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main(input_dir, fig_path)
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