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import os
import numpy as np
from helpers import detect_faces_in_video
from helpers import dense_sampling_from_extracted_frames
from helpers import remove_audio
def remove_audio_from_video(input_file):
return remove_audio(input_file)
def extract_face_from_video(video_path, output_dir):
os.makedirs(output_dir, exist_ok=True)
cropped_faces = detect_faces_in_video(video_path, output_dir)
return cropped_faces
def sample_frames_from_extracted_frames(output_dir_for_sampled_frames, output_dir_for_extracted_frames):
os.makedirs(output_dir_for_sampled_frames, exist_ok=True)
if not os.listdir(output_dir_for_extracted_frames):
print("No extracted frames found in the folder.")
raise ValueError("No extracted frames found in the folder.")
sampled_frames = dense_sampling_from_extracted_frames(output_dir_for_extracted_frames, num_clips=6, frames_per_clip=5)
for i, clip in enumerate(sampled_frames):
clip_folder = os.path.join(output_dir_for_sampled_frames, f"clip_{i+1}")
os.makedirs(clip_folder, exist_ok=True)
for j, frame in enumerate(clip):
np.save(os.path.join(clip_folder, f"frame_{j+1}.npy"), frame)
return np.squeeze(sampled_frames)
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