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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 |