pose_estimation / src /utils.py
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scripts for heart and star vertex annotator
93277a5
import os
from moviepy import ImageSequenceClip
from natsort import natsorted
def create_video_from_images(folder_path, output_video_file, fps):
"""
Creates a video file from a sequence of images in a folder.
Args:
folder_path (str): The path to the folder containing the images.
output_video_file (str): The name of the output video file (e.g., 'my_video.mp4').
fps (int): The frames per second for the output video.
"""
if not os.path.isdir(folder_path):
print(f"Error: The folder '{folder_path}' does not exist.")
return
# List all image files in the folder.
# We use natsorted to ensure files with numerical names (e.g., image-1.png, image-10.png)
# are sorted in a human-friendly way.
supported_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')
image_files = [
os.path.join(folder_path, f)
for f in natsorted(os.listdir(folder_path))
if f.lower().endswith(supported_extensions)
]
if not image_files:
print(f"Error: No supported image files found in '{folder_path}'.")
return
print(f"Found {len(image_files)} images. Creating video...")
try:
# Create a video clip from the list of image files.
clip = ImageSequenceClip(image_files, fps=fps)
# Write the video file to the specified path.
clip.write_videofile(output_video_file, fps=fps)
print(f"Successfully created video: '{output_video_file}'")
except Exception as e:
print(f"An error occurred while creating the video: {e}")