EchoMimic / src /utils /img_utils.py
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from PIL import Image
import cv2
import numpy as np
from imageio_ffmpeg import get_ffmpeg_exe
import pathlib
import os
from IPython import embed
def pil_to_cv2(pil):
return cv2.cvtColor(np.array(pil).astype(np.uint8), cv2.COLOR_RGB2BGR)
def cv2_to_pil(cv2_img):
return Image.fromarray(cv2.cvtColor(cv2_img, cv2.COLOR_BGR2RGB).astype(np.uint8))
def center_crop_cv2(cv2_pic):
h, w = cv2_pic.shape[0], cv2_pic.shape[1]
if h > w:
return cv2_pic[(h - w) // 2 : (h - w) // 2 + w, :]
else:
return cv2_pic[:, (w - h) // 2 : (w - h) // 2 + h]
def pils_from_video(video_path):
cap = cv2.VideoCapture(video_path)
pils = []
while True:
ret, frame = cap.read()
if not ret:
break
frame = cv2.resize(center_crop_cv2(frame), (512, 512))
pils.append(cv2_to_pil(frame))
return pils
def save_videos_from_pils(pils, path, fps=24):
width, height = pils[0].size
print(width, height)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
pathlib.Path(path).parent.mkdir(exist_ok=True, parents=True)
output_name = pathlib.Path(path).stem
temp_output_path = path.replace(output_name, output_name + '-temp')
videowrite = cv2.VideoWriter(temp_output_path, fourcc, fps, (height, width))
for pil in pils:
frame = pil_to_cv2(pil)
print(frame.shape, frame.min(), frame.max())
videowrite.write(frame)
videowrite.release()
"""
embed()
cmd = (f'{get_ffmpeg_exe()} -i "{temp_output_path}"'
f'-map 0:v -map 1:a -c:v h264 -shortest -y "{path}" -loglevel quiet')
os.system(cmd)
os.remove(temp_output_path)
"""
def save_video_from_cv2_list(pic_cv2_list, output_path, fps=30.0):
pathlib.Path(output_path).parent.mkdir(exist_ok=True, parents=True)
num_frames = len(pic_cv2_list)
height, width = pic_cv2_list[0].shape[:2]
#video_tensor = video_tensor[0, ...]
#_, num_frames, height, width = video_tensor.shape
output_name = pathlib.Path(output_path).stem
temp_output_path = output_path.replace(output_name, output_name)
video_writer = cv2.VideoWriter(temp_output_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))
for i in range(num_frames):
#frame_tensor = video_tensor[:, i, ...] # [c, h, w]
#frame_tensor = frame_tensor.permute(1, 2, 0) # [h, w, c]
#frame_image = (frame_tensor * 255).numpy().astype(np.uint8)
#frame_image = cv2.cvtColor(frame_image, cv2.COLOR_RGB2BGR)
frame_image = pic_cv2_list[i].astype(np.uint8)
video_writer.write(frame_image)
video_writer.release()
#ffmpeg -i input_file -c:v libx264 -crf 20 -c:a aac -strict experimental -b:a 192k output_file