src/utils/video.py

# coding: utf-8

"""
Functions for processing video

ATTENTION: you need to install ffmpeg and ffprobe in your env!
"""

import os.path as osp
import numpy as np
import subprocess
import imageio
import cv2
from rich.progress import track

from .rprint import rlog as log
from .rprint import rprint as print
from .helper import prefix


def exec_cmd(cmd):
    return subprocess.run(cmd, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)


def images2video(images, wfp, **kwargs):
    fps = kwargs.get('fps', 30)
    video_format = kwargs.get('format', 'mp4')  # default is mp4 format
    codec = kwargs.get('codec', 'libx264')  # default is libx264 encoding
    quality = kwargs.get('quality')  # video quality
    pixelformat = kwargs.get('pixelformat', 'yuv420p')  # video pixel format
    image_mode = kwargs.get('image_mode', 'rgb')
    macro_block_size = kwargs.get('macro_block_size', 2)
    ffmpeg_params = ['-crf', str(kwargs.get('crf', 18))]

    writer = imageio.get_writer(
        wfp, fps=fps, format=video_format,
        codec=codec, quality=quality, ffmpeg_params=ffmpeg_params, pixelformat=pixelformat, macro_block_size=macro_block_size
    )

    n = len(images)
    for i in track(range(n), description='Writing', transient=True):
        if image_mode.lower() == 'bgr':
            writer.append_data(images[i][..., ::-1])
        else:
            writer.append_data(images[i])

    writer.close()


def video2gif(video_fp, fps=30, size=256):
    if osp.exists(video_fp):
        d = osp.split(video_fp)[0]
        fn = prefix(osp.basename(video_fp))
        palette_wfp = osp.join(d, 'palette.png')
        gif_wfp = osp.join(d, f'{fn}.gif')
        # generate the palette
        cmd = f'ffmpeg -i "{video_fp}" -vf "fps={fps},scale={size}:-1:flags=lanczos,palettegen" "{palette_wfp}" -y'
        exec_cmd(cmd)
        # use the palette to generate the gif
        cmd = f'ffmpeg -i "{video_fp}" -i "{palette_wfp}" -filter_complex "fps={fps},scale={size}:-1:flags=lanczos[x];[x][1:v]paletteuse" "{gif_wfp}" -y'
        exec_cmd(cmd)
    else:
        print(f'video_fp: {video_fp} not exists!')


def merge_audio_video(video_fp, audio_fp, wfp):
    if osp.exists(video_fp) and osp.exists(audio_fp):
        cmd = f'ffmpeg -i "{video_fp}" -i "{audio_fp}" -c:v copy -c:a aac "{wfp}" -y'
        exec_cmd(cmd)
        print(f'merge {video_fp} and {audio_fp} to {wfp}')
    else:
        print(f'video_fp: {video_fp} or audio_fp: {audio_fp} not exists!')


def blend(img: np.ndarray, mask: np.ndarray, background_color=(255, 255, 255)):
    mask_float = mask.astype(np.float32) / 255.
    background_color = np.array(background_color).reshape([1, 1, 3])
    bg = np.ones_like(img) * background_color
    img = np.clip(mask_float * img + (1 - mask_float) * bg, 0, 255).astype(np.uint8)
    return img

def concat_frame(driving_image_lst, source_image, I_p_lst):
     # TODO: add more concat style, e.g., left-down corner driving
    out_lst = []
    h, w, _ = I_p_lst[0].shape

    for idx, _ in track(enumerate(I_p_lst), total=len(I_p_lst), description='Concatenating result...'):
        I_p = I_p_lst[idx]
        source_image_resized = cv2.resize(source_image, (w, h))

        if driving_image_lst is None:
            out = np.hstack((source_image_resized, I_p))
        else:
            driving_image = driving_image_lst[idx]
            driving_image_resized = cv2.resize(driving_image, (w, h))
            out = np.hstack((driving_image_resized, source_image_resized, I_p))

        out_lst.append(out)
    return out_lst


def concat_frames(driving_image_lst, source_image, I_p_lst):
    # TODO: add more concat style, e.g., left-down corner driving
    out_lst = []
    h, w, _ = I_p_lst[0].shape

    for idx, _ in track(enumerate(I_p_lst), total=len(I_p_lst), description='Concatenating result...'):
        I_p = I_p_lst[idx]
        source_image_resized = cv2.resize(source_image[idx], (w, h))

        if driving_image_lst is None:
            out = np.hstack((source_image_resized, I_p))
        else:
            driving_image = driving_image_lst[idx]
            driving_image_resized = cv2.resize(driving_image, (w, h))
            out = np.hstack((driving_image_resized, source_image_resized, I_p))

        out_lst.append(out)
    return out_lst


class VideoWriter:
    def __init__(self, **kwargs):
        self.fps = kwargs.get('fps', 30)
        self.wfp = kwargs.get('wfp', 'video.mp4')
        self.video_format = kwargs.get('format', 'mp4')
        self.codec = kwargs.get('codec', 'libx264')
        self.quality = kwargs.get('quality')
        self.pixelformat = kwargs.get('pixelformat', 'yuv420p')
        self.image_mode = kwargs.get('image_mode', 'rgb')
        self.ffmpeg_params = kwargs.get('ffmpeg_params')

        self.writer = imageio.get_writer(
            self.wfp, fps=self.fps, format=self.video_format,
            codec=self.codec, quality=self.quality,
            ffmpeg_params=self.ffmpeg_params, pixelformat=self.pixelformat
        )

    def write(self, image):
        if self.image_mode.lower() == 'bgr':
            self.writer.append_data(image[..., ::-1])
        else:
            self.writer.append_data(image)

    def close(self):
        if self.writer is not None:
            self.writer.close()


def change_video_fps(input_file, output_file, fps=20, codec='libx264', crf=12):
    cmd = f'ffmpeg -i "{input_file}" -c:v {codec} -crf {crf} -r {fps} "{output_file}" -y'
    exec_cmd(cmd)


def get_fps(filepath, default_fps=25):
    try:
        fps = cv2.VideoCapture(filepath).get(cv2.CAP_PROP_FPS)

        if fps in (0, None):
            fps = default_fps
    except Exception as e:
        log(e)
        fps = default_fps

    return fps


def has_audio_stream(video_path: str) -> bool:
    """
    Check if the video file contains an audio stream.

    :param video_path: Path to the video file
    :return: True if the video contains an audio stream, False otherwise
    """
    if osp.isdir(video_path):
        return False

    cmd = [
        'ffprobe',
        '-v', 'error',
        '-select_streams', 'a',
        '-show_entries', 'stream=codec_type',
        '-of', 'default=noprint_wrappers=1:nokey=1',
        f'"{video_path}"'
    ]

    try:
        # result = subprocess.run(cmd, capture_output=True, text=True)
        result = exec_cmd(' '.join(cmd))
        if result.returncode != 0:
            log(f"Error occurred while probing video: {result.stderr}")
            return False

        # Check if there is any output from ffprobe command
        return bool(result.stdout.strip())
    except Exception as e:
        log(f"Error occurred while probing video: {video_path}, you may need to install ffprobe! Now set audio to false!", style="bold red")
        return False


def add_audio_to_video(silent_video_path: str, audio_video_path: str, output_video_path: str):
    cmd = [
        'ffmpeg',
        '-y',
        '-i', f'"{silent_video_path}"',
        '-i', f'"{audio_video_path}"',
        '-map', '0:v',
        '-map', '1:a',
        '-c:v', 'copy',
        '-shortest',
        f'"{output_video_path}"'
    ]

    try:
        exec_cmd(' '.join(cmd))
        log(f"Video with audio generated successfully: {output_video_path}")
    except subprocess.CalledProcessError as e:
        log(f"Error occurred: {e}")


def bb_intersection_over_union(boxA, boxB):
    xA = max(boxA[0], boxB[0])
    yA = max(boxA[1], boxB[1])
    xB = min(boxA[2], boxB[2])
    yB = min(boxA[3], boxB[3])
    interArea = max(0, xB - xA + 1) * max(0, yB - yA + 1)
    boxAArea = (boxA[2] - boxA[0] + 1) * (boxA[3] - boxA[1] + 1)
    boxBArea = (boxB[2] - boxB[0] + 1) * (boxB[3] - boxB[1] + 1)
    iou = interArea / float(boxAArea + boxBArea - interArea)
    return iou