Created
July 16, 2024 19:27
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FFMPEG: Detect and save the frame with the minimum blur value within a time range
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import os | |
import re | |
import subprocess | |
def get_blur_values(video_path, start_time, duration): | |
command = [ | |
"ffmpeg", | |
"-i", video_path, | |
"-vf", f"blurdetect=block_width=32:block_height=32,metadata=print:file=-", | |
"-ss", str(start_time), | |
"-t", str(duration), | |
"-f", "null", "-" | |
] | |
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) | |
return result.stdout | |
def parse_blur_values(blur_data): | |
blur_values = [] | |
pattern = re.compile(r'frame:\d+\s+pts:\d+\s+pts_time:(\d+\.\d+)\n.*?lavfi.blur=(\d+\.\d+)') | |
matches = pattern.findall(blur_data) | |
for match in matches: | |
time_in_seconds = float(match[0]) | |
blur_value = float(match[1]) | |
blur_values.append((time_in_seconds, blur_value)) | |
return blur_values | |
def find_minimum_blur_frame(blur_values): | |
return min(blur_values, key=lambda x: x[1]) | |
def save_frame_as_png(video_path, time, output_path): | |
command = [ | |
"ffmpeg", | |
"-i", video_path, | |
"-vf", f"select='eq(n\\,{int(time * 30)})'", | |
"-vsync", "vfr", | |
output_path | |
] | |
subprocess.run(command) | |
def main(video_path, start_time, duration, output_path): | |
blur_data = get_blur_values(video_path, start_time, duration) | |
blur_values = parse_blur_values(blur_data) | |
if blur_values: | |
min_blur_time, min_blur_value = find_minimum_blur_frame(blur_values) | |
save_frame_as_png(video_path, min_blur_time, output_path) | |
print(f"Saved frame with lowest blur value at time {min_blur_time}s to {output_path}") | |
else: | |
print("No blur values found in the specified time range.") | |
if __name__ == "__main__": | |
video_path = "test.mp4" | |
start_time = 0 # Start time in seconds | |
duration = 3 # Duration in seconds | |
output_path = "nonblurred/output.png" | |
if not os.path.exists("nonblurred"): | |
os.makedirs("nonblurred") | |
main(video_path, start_time, duration, output_path) |
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