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ECCV2022-RIFE/benchmark/yuv_frame_io.py

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import sys
import getopt
import math
import numpy
import random
import logging
import numpy as np
from skimage.color import rgb2yuv, yuv2rgb
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from PIL import Image
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import os
from shutil import copyfile
class YUV_Read():
def __init__(self, filepath, h, w, format='yuv420', toRGB=True):
self.h = h
self.w = w
self.fp = open(filepath, 'rb')
if format == 'yuv420':
self.frame_length = int(1.5 * h * w)
self.Y_length = h * w
self.Uv_length = int(0.25 * h * w)
else:
pass
self.toRGB = toRGB
def read(self, offset_frame=None):
if not offset_frame == None:
self.fp.seek(offset_frame * self.frame_length, 0)
Y = np.fromfile(self.fp, np.uint8, count=self.Y_length)
U = np.fromfile(self.fp, np.uint8, count=self.Uv_length)
V = np.fromfile(self.fp, np.uint8, count=self.Uv_length)
if Y.size < self.Y_length or \
U.size < self.Uv_length or \
V.size < self.Uv_length:
return None, False
Y = np.reshape(Y, [self.w, self.h], order='F')
Y = np.transpose(Y)
U = np.reshape(U, [int(self.w / 2), int(self.h / 2)], order='F')
U = np.transpose(U)
V = np.reshape(V, [int(self.w / 2), int(self.h / 2)], order='F')
V = np.transpose(V)
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U = np.array(Image.fromarray(U).resize([self.w, self.h]))
V = np.array(Image.fromarray(V).resize([self.w, self.h]))
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if self.toRGB:
Y = Y / 255.0
U = U / 255.0 - 0.5
V = V / 255.0 - 0.5
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self.YUV = np.stack((Y, U, V), axis=-1)
self.RGB = (255.0 * np.clip(yuv2rgb(self.YUV), 0.0, 1.0)).astype('uint8')
self.YUV = None
return self.RGB, True
else:
self.YUV = np.stack((Y, U, V), axis=-1)
return self.YUV, True
def close(self):
self.fp.close()
class YUV_Write():
def __init__(self, filepath, fromRGB=True):
if os.path.exists(filepath):
print(filepath)
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self.fp = open(filepath, 'wb')
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self.fromRGB = fromRGB
def write(self, Frame):
self.h = Frame.shape[0]
self.w = Frame.shape[1]
c = Frame.shape[2]
assert c == 3
if format == 'yuv420':
self.frame_length = int(1.5 * self.h * self.w)
self.Y_length = self.h * self.w
self.Uv_length = int(0.25 * self.h * self.w)
else:
pass
if self.fromRGB:
Frame = Frame / 255.0
YUV = rgb2yuv(Frame)
Y, U, V = np.dsplit(YUV, 3)
Y = Y[:, :, 0]
U = U[:, :, 0]
V = V[:, :, 0]
U = np.clip(U + 0.5, 0.0, 1.0)
V = np.clip(V + 0.5, 0.0, 1.0)
U = U[::2, ::2] # imresize(U,[int(self.h/2),int(self.w/2)],interp = 'nearest')
V = V[::2, ::2] # imresize(V ,[int(self.h/2),int(self.w/2)],interp = 'nearest')
Y = (255.0 * Y).astype('uint8')
U = (255.0 * U).astype('uint8')
V = (255.0 * V).astype('uint8')
else:
YUV = Frame
Y = YUV[:, :, 0]
U = YUV[::2, ::2, 1]
V = YUV[::2, ::2, 2]
Y = Y.flatten() # the first order is 0-dimension so don't need to transpose before flatten
U = U.flatten()
V = V.flatten()
Y.tofile(self.fp)
U.tofile(self.fp)
V.tofile(self.fp)
return True
def close(self):
self.fp.close()