imageio 图片转mp4 保存mp4

目录

安装：

imageio 图片转mp4

numpy 保存mp4

---

安装：

  FFMPEG:  pip install imageio[ffmpeg]
  pyav:  pip install imageio[pyav]

imageio 图片转mp4

import glob
import osimport cv2
import imageio
from natsort import natsortedfrom PIL import Image
import numpy as np
import orjsondef pic_2_mp4_dir(path):dir_root = r'E:\project\Grounded-SAM-2-main\obj_video\0'dir_save = r'E:\project\Grounded-SAM-2-main\obj_video'# dirs = glob.glob(dir_root + '/*/*')dirs=[r'E:\project\Grounded-SAM-2-main\obj_video\0']for dir_path in dirs:img_files = ['%s/%s' % (i[0].replace("\\", "/"), j) for i in os.walk(dir_path) for j in i[-1] if j.endswith(('obj.jpg', 'apng', 'ajpeg'))]print("len(img_files)", len(img_files), dir_path)img_files = natsorted(img_files)imgs = []for img_i, img_path in enumerate(img_files):print(img_path)output_image = Image.open(img_path)imgs.append(output_image)save_dir = dir_path.replace(dir_root, dir_save)os.makedirs(save_dir, exist_ok=True)imageio.mimsave(f'{save_dir}/pinjie.mp4', imgs, fps=6)
def pic_2_mp4(base_dir,save_path):img_files = ['%s/%s' % (i[0].replace("\\", "/"), j) for i in os.walk(base_dir) for j in i[-1] if j.endswith(('.jpg', 'apng', 'ajpeg'))]print("len(img_files)", len(img_files), base_dir)img_files = natsorted(img_files)imgs = []for img_i, img_path in enumerate(img_files):if img_i%10==0:print(img_i,img_path)output_image = Image.open(img_path)imgs.append(output_image)os.makedirs(os.path.dirname(save_path), exist_ok=True)imageio.mimsave(save_path, imgs, fps=25)if __name__ == '__main__':base_dir = r'F:\project\ronghe\data\see3d_inpaint\vis_see3d_inpaint\f2_1200_dir\pinjie'save_path = r'F:\project\ronghe\data\see3d_inpaint\vis_see3d_inpaint\f2_1200_dir\pinjie.mp4'pic_2_mp4(base_dir, save_path)

numpy 保存mp4

  save_video_path = os.path.join(out_dir, output_video_name)print("save_video_path = ", save_video_path, "; ", video_codec, ", ", fps, ", ", size, ", video_size = ", video_size)imgs=[]for i in tqdm(range(num_frames)):# Process imagedeg = i * interval_degimg = equ.GetPerspective(fov, deg, 0, *video_size)  # Specify parameters(FOV, theta, phi, height, width)if margin > 0:img = img[margin:-margin]img = np.clip(img, 0, 255).astype(np.uint8)img=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)imgs.append(Image.fromarray(img))imageio.mimsave(save_video_path, imgs, fps=fps,macro_block_size=None)