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Zero
File size: 2,358 Bytes
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import os
import pdb
import torch
import numpy as np
import imageio
import cv2
import imageio.v3 as iio
VIDEO_TYPE_LIST = {'.avi','.mp4','.gif','.AVI','.MP4','.GIF'}
def encodeffmpeg(inputs, frame_rate, output, format="png"):
"""output: need video_name"""
assert (
os.path.splitext(output)[-1] in VIDEO_TYPE_LIST
), "output is the format of video, e.g., mp4"
assert os.path.isdir(inputs), "input dir is NOT file format"
inputs = inputs[:-1] if inputs[-1] == "/" else inputs
output = os.path.abspath(output)
cmd = (
f"ffmpeg -r {frame_rate} -pattern_type glob -i '{inputs}/*.{format}' "
+ f'-vcodec libx264 -crf 10 -vf "pad=ceil(iw/2)*2:ceil(ih/2)*2" '
+ f"-pix_fmt yuv420p {output} > /dev/null 2>&1"
)
print(cmd)
output_dir = os.path.dirname(output)
if os.path.exists(output):
os.remove(output)
os.makedirs(output_dir, exist_ok=True)
print("encoding imgs to video.....")
os.system(cmd)
print("video done!")
def images_to_video(images, output_path, fps, gradio_codec: bool, verbose=False, bitrate="2M"):
os.makedirs(os.path.dirname(output_path), exist_ok=True)
frames = []
for i in range(images.shape[0]):
if isinstance(images, torch.Tensor):
frame = (images[i].permute(1, 2, 0).cpu().numpy() * 255).astype(np.uint8)
assert frame.shape[0] == images.shape[2] and frame.shape[1] == images.shape[3], \
f"Frame shape mismatch: {frame.shape} vs {images.shape}"
assert frame.min() >= 0 and frame.max() <= 255, \
f"Frame value out of range: {frame.min()} ~ {frame.max()}"
else:
frame = images[i]
width, height = frame.shape[1], frame.shape[0]
# reshape to limit the export time
# if width > 1200 or height > 1200 or images.shape[0] > 200:
# frames.append(cv2.resize(frame, (width // 2, height // 2)))
# else:
frames.append(frame)
# limit the frames directly @NOTE huggingface only！
frames = frames[:200]
frames = np.stack(frames)
print("start saving {} using imageio.v3 .".format(output_path))
iio.imwrite(output_path,frames,fps=fps,codec="libx264",pixelformat="yuv420p",bitrate=bitrate, macro_block_size=32)
print("saved {} using imageio.v3 .".format(output_path)) |