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# Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from collections import OrderedDict
import cv2
from cv2 import (CAP_PROP_FOURCC, CAP_PROP_FPS, CAP_PROP_FRAME_COUNT,
CAP_PROP_FRAME_HEIGHT, CAP_PROP_FRAME_WIDTH,
CAP_PROP_POS_FRAMES, VideoWriter_fourcc)
from annotator.mmpkg.mmcv.utils import (check_file_exist, mkdir_or_exist, scandir,
track_progress)
class Cache:
def __init__(self, capacity):
self._cache = OrderedDict()
self._capacity = int(capacity)
if capacity <= 0:
raise ValueError('capacity must be a positive integer')
@property
def capacity(self):
return self._capacity
@property
def size(self):
return len(self._cache)
def put(self, key, val):
if key in self._cache:
return
if len(self._cache) >= self.capacity:
self._cache.popitem(last=False)
self._cache[key] = val
def get(self, key, default=None):
val = self._cache[key] if key in self._cache else default
return val
class VideoReader:
"""Video class with similar usage to a list object.
This video warpper class provides convenient apis to access frames.
There exists an issue of OpenCV's VideoCapture class that jumping to a
certain frame may be inaccurate. It is fixed in this class by checking
the position after jumping each time.
Cache is used when decoding videos. So if the same frame is visited for
the second time, there is no need to decode again if it is stored in the
cache.
:Example:
>>> import annotator.mmpkg.mmcv as mmcv
>>> v = mmcv.VideoReader('sample.mp4')
>>> len(v) # get the total frame number with `len()`
120
>>> for img in v: # v is iterable
>>> mmcv.imshow(img)
>>> v[5] # get the 6th frame
"""
def __init__(self, filename, cache_capacity=10):
# Check whether the video path is a url
if not filename.startswith(('https://', 'http://')):
check_file_exist(filename, 'Video file not found: ' + filename)
self._vcap = cv2.VideoCapture(filename)
assert cache_capacity > 0
self._cache = Cache(cache_capacity)
self._position = 0
# get basic info
self._width = int(self._vcap.get(CAP_PROP_FRAME_WIDTH))
self._height = int(self._vcap.get(CAP_PROP_FRAME_HEIGHT))
self._fps = self._vcap.get(CAP_PROP_FPS)
self._frame_cnt = int(self._vcap.get(CAP_PROP_FRAME_COUNT))
self._fourcc = self._vcap.get(CAP_PROP_FOURCC)
@property
def vcap(self):
""":obj:`cv2.VideoCapture`: The raw VideoCapture object."""
return self._vcap
@property
def opened(self):
"""bool: Indicate whether the video is opened."""
return self._vcap.isOpened()
@property
def width(self):
"""int: Width of video frames."""
return self._width
@property
def height(self):
"""int: Height of video frames."""
return self._height
@property
def resolution(self):
"""tuple: Video resolution (width, height)."""
return (self._width, self._height)
@property
def fps(self):
"""float: FPS of the video."""
return self._fps
@property
def frame_cnt(self):
"""int: Total frames of the video."""
return self._frame_cnt
@property
def fourcc(self):
"""str: "Four character code" of the video."""
return self._fourcc
@property
def position(self):
"""int: Current cursor position, indicating frame decoded."""
return self._position
def _get_real_position(self):
return int(round(self._vcap.get(CAP_PROP_POS_FRAMES)))
def _set_real_position(self, frame_id):
self._vcap.set(CAP_PROP_POS_FRAMES, frame_id)
pos = self._get_real_position()
for _ in range(frame_id - pos):
self._vcap.read()
self._position = frame_id
def read(self):
"""Read the next frame.
If the next frame have been decoded before and in the cache, then
return it directly, otherwise decode, cache and return it.
Returns:
ndarray or None: Return the frame if successful, otherwise None.
"""
# pos = self._position
if self._cache:
img = self._cache.get(self._position)
if img is not None:
ret = True
else:
if self._position != self._get_real_position():
self._set_real_position(self._position)
ret, img = self._vcap.read()
if ret:
self._cache.put(self._position, img)
else:
ret, img = self._vcap.read()
if ret:
self._position += 1
return img
def get_frame(self, frame_id):
"""Get frame by index.
Args:
frame_id (int): Index of the expected frame, 0-based.
Returns:
ndarray or None: Return the frame if successful, otherwise None.
"""
if frame_id < 0 or frame_id >= self._frame_cnt:
raise IndexError(
f'"frame_id" must be between 0 and {self._frame_cnt - 1}')
if frame_id == self._position:
return self.read()
if self._cache:
img = self._cache.get(frame_id)
if img is not None:
self._position = frame_id + 1
return img
self._set_real_position(frame_id)
ret, img = self._vcap.read()
if ret:
if self._cache:
self._cache.put(self._position, img)
self._position += 1
return img
def current_frame(self):
"""Get the current frame (frame that is just visited).
Returns:
ndarray or None: If the video is fresh, return None, otherwise
return the frame.
"""
if self._position == 0:
return None
return self._cache.get(self._position - 1)
def cvt2frames(self,
frame_dir,
file_start=0,
filename_tmpl='{:06d}.jpg',
start=0,
max_num=0,
show_progress=True):
"""Convert a video to frame images.
Args:
frame_dir (str): Output directory to store all the frame images.
file_start (int): Filenames will start from the specified number.
filename_tmpl (str): Filename template with the index as the
placeholder.
start (int): The starting frame index.
max_num (int): Maximum number of frames to be written.
show_progress (bool): Whether to show a progress bar.
"""
mkdir_or_exist(frame_dir)
if max_num == 0:
task_num = self.frame_cnt - start
else:
task_num = min(self.frame_cnt - start, max_num)
if task_num <= 0:
raise ValueError('start must be less than total frame number')
if start > 0:
self._set_real_position(start)
def write_frame(file_idx):
img = self.read()
if img is None:
return
filename = osp.join(frame_dir, filename_tmpl.format(file_idx))
cv2.imwrite(filename, img)
if show_progress:
track_progress(write_frame, range(file_start,
file_start + task_num))
else:
for i in range(task_num):
write_frame(file_start + i)
def __len__(self):
return self.frame_cnt
def __getitem__(self, index):
if isinstance(index, slice):
return [
self.get_frame(i)
for i in range(*index.indices(self.frame_cnt))
]
# support negative indexing
if index < 0:
index += self.frame_cnt
if index < 0:
raise IndexError('index out of range')
return self.get_frame(index)
def __iter__(self):
self._set_real_position(0)
return self
def __next__(self):
img = self.read()
if img is not None:
return img
else:
raise StopIteration
next = __next__
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
self._vcap.release()
def frames2video(frame_dir,
video_file,
fps=30,
fourcc='XVID',
filename_tmpl='{:06d}.jpg',
start=0,
end=0,
show_progress=True):
"""Read the frame images from a directory and join them as a video.
Args:
frame_dir (str): The directory containing video frames.
video_file (str): Output filename.
fps (float): FPS of the output video.
fourcc (str): Fourcc of the output video, this should be compatible
with the output file type.
filename_tmpl (str): Filename template with the index as the variable.
start (int): Starting frame index.
end (int): Ending frame index.
show_progress (bool): Whether to show a progress bar.
"""
if end == 0:
ext = filename_tmpl.split('.')[-1]
end = len([name for name in scandir(frame_dir, ext)])
first_file = osp.join(frame_dir, filename_tmpl.format(start))
check_file_exist(first_file, 'The start frame not found: ' + first_file)
img = cv2.imread(first_file)
height, width = img.shape[:2]
resolution = (width, height)
vwriter = cv2.VideoWriter(video_file, VideoWriter_fourcc(*fourcc), fps,
resolution)
def write_frame(file_idx):
filename = osp.join(frame_dir, filename_tmpl.format(file_idx))
img = cv2.imread(filename)
vwriter.write(img)
if show_progress:
track_progress(write_frame, range(start, end))
else:
for i in range(start, end):
write_frame(i)
vwriter.release()
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