177 lines
7.9 KiB
Python
177 lines
7.9 KiB
Python
import os
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import cv2
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import shutil
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import math
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import requests
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import subprocess
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from pkg_resources import resource_filename
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from modules.shared import state
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def vid2frames(video_path, video_in_frame_path, n=1, overwrite=True, extract_from_frame=0, extract_to_frame=-1, out_img_format='jpg', numeric_files_output = False):
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if (extract_to_frame <= extract_from_frame) and extract_to_frame != -1:
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raise RuntimeError('Error: extract_to_frame can not be higher than extract_from_frame')
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if n < 1: n = 1 #HACK Gradio interface does not currently allow min/max in gr.Number(...)
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# check vid path using a function and only enter if we get True
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if is_vid_path_valid(video_path):
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name = get_frame_name(video_path)
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vidcap = cv2.VideoCapture(video_path)
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video_fps = vidcap.get(cv2.CAP_PROP_FPS)
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input_content = []
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if os.path.exists(video_in_frame_path) :
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input_content = os.listdir(video_in_frame_path)
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# check if existing frame is the same video, if not we need to erase it and repopulate
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if len(input_content) > 0:
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#get the name of the existing frame
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content_name = get_frame_name(input_content[0])
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if not content_name.startswith(name):
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overwrite = True
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# grab the frame count to check against existing directory len
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frame_count = int(vidcap.get(cv2.CAP_PROP_FRAME_COUNT))
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# raise error if the user wants to skip more frames than exist
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if n >= frame_count :
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raise RuntimeError('Skipping more frames than input video contains. extract_nth_frames larger than input frames')
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expected_frame_count = math.ceil(frame_count / n)
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# Check to see if the frame count is matches the number of files in path
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if overwrite or expected_frame_count != len(input_content):
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shutil.rmtree(video_in_frame_path)
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os.makedirs(video_in_frame_path, exist_ok=True) # just deleted the folder so we need to make it again
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input_content = os.listdir(video_in_frame_path)
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print(f"Trying to extract frames from video with input FPS of {video_fps}. Please wait patiently.")
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if len(input_content) == 0:
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vidcap.set(cv2.CAP_PROP_POS_FRAMES, extract_from_frame) # Set the starting frame
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success,image = vidcap.read()
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count = extract_from_frame
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t=1
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success = True
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while success:
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if state.interrupted:
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return
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if (count <= extract_to_frame or extract_to_frame == -1) and count % n == 0:
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if numeric_files_output == True:
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cv2.imwrite(video_in_frame_path + os.path.sep + f"{t:05}.{out_img_format}" , image) # save frame as file
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else:
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cv2.imwrite(video_in_frame_path + os.path.sep + name + f"{t:05}.{out_img_format}" , image) # save frame as file
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t += 1
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success,image = vidcap.read()
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count += 1
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print(f"Successfully extracted {count} frames from video.")
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else:
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print("Frames already unpacked")
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vidcap.release()
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return video_fps
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# make sure the video_path provided is an existing local file or a web URL with a supported file extension
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def is_vid_path_valid(video_path):
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# make sure file format is supported!
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file_formats = ["mov", "mpeg", "mp4", "m4v", "avi", "mpg", "webm"]
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extension = video_path.rsplit('.', 1)[-1].lower()
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# vid path is actually a URL, check it
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if video_path.startswith('http://') or video_path.startswith('https://'):
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response = requests.head(video_path)
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if response.status_code == 404 or response.status_code != 200:
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raise ConnectionError("Video URL is not valid. Response status code: {}".format(response.status_code))
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if extension not in file_formats:
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raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
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else:
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if not os.path.exists(video_path):
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raise RuntimeError("Video path does not exist.")
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if extension not in file_formats:
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raise ValueError("Video file format '{}' not supported. Supported formats are: {}".format(extension, file_formats))
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return True
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# quick-retreive just the frame count and FPS of a video (local or URL-based)
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def get_quick_vid_info(vid_local_path):
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vidcap = cv2.VideoCapture(vid_local_path)
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video_fps = vidcap.get(cv2.CAP_PROP_FPS)
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video_frame_count = int(vidcap.get(cv2.CAP_PROP_FRAME_COUNT))
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video_width = int(vidcap.get(cv2.CAP_PROP_FRAME_WIDTH))
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video_height = int(vidcap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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vidcap.release()
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if video_fps.is_integer():
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video_fps = int(video_fps)
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return video_fps, video_frame_count, (video_width, video_height)
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# Stitch images to a h264 mp4 video using ffmpeg
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def ffmpeg_stitch_video(ffmpeg_location=None, fps=None, outmp4_path=None, stitch_from_frame=0, stitch_to_frame=None, imgs_path=None, add_soundtrack=None, audio_path=None, crf=17, preset='veryslow'):
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# TODO: add audio custom print msgs for a nice user experience
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print(f"Trying to stitch video from frames using FFMPEG:\nFrames:\n{imgs_path}\nTo Video:\n{outmp4_path}")
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try:
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cmd = [
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ffmpeg_location,
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'-y',
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'-vcodec', 'png',
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'-r', str(int(fps)),
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'-start_number', str(stitch_from_frame),
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'-i', imgs_path,
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'-frames:v', str(stitch_to_frame),
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'-c:v', 'libx264',
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'-vf',
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f'fps={int(fps)}',
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'-pix_fmt', 'yuv420p',
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'-crf', str(crf),
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'-preset', preset,
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'-pattern_type', 'sequence',
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outmp4_path
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]
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process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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stdout, stderr = process.communicate()
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except FileNotFoundError:
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raise FileNotFoundError("FFmpeg not found. Please make sure you have a working ffmpeg path under 'ffmpeg_location' parameter.")
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except Exception as e:
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raise Exception(f'Error stitching frames to video. Actual runtime error:{e}')
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if add_soundtrack != 'None':
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try:
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cmd = [
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ffmpeg_location,
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'-i',
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outmp4_path,
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'-i',
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audio_path,
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'-map', '0:v',
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'-map', '1:a',
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'-c:v', 'copy',
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'-shortest',
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outmp4_path+'.temp.mp4'
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]
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process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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stdout, stderr = process.communicate()
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if process.returncode != 0:
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print(stderr)
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raise RuntimeError(stderr)
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os.replace(outmp4_path+'.temp.mp4', outmp4_path)
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except Exception as e:
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print(f'Error adding audio to video. Actual error: {e}')
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# If we reached this point, all ok. Let the user know!
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print("FFMPEG Video Stitching done!")
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def get_frame_name(path):
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name = os.path.basename(path)
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name = os.path.splitext(name)[0]
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return name
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def get_next_frame(outdir, video_path, frame_idx, mask=False):
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frame_path = 'inputframes'
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if (mask): frame_path = 'maskframes'
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return os.path.join(outdir, frame_path, get_frame_name(video_path) + f"{frame_idx+1:05}.jpg")
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def find_ffmpeg_binary():
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for package in ['imageio_ffmpeg', 'imageio-ffmpeg']:
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try:
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package_path = resource_filename(package, 'binaries')
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files = [os.path.join(package_path, f) for f in os.listdir(package_path) if f.startswith("ffmpeg-")]
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files.sort(key=lambda x: os.path.getmtime(x), reverse=True)
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return files[0] if files else 'ffmpeg'
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except:
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return 'ffmpeg' |