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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
from PIL import Image
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)
U = np.array(Image.fromarray(U).resize([self.w, self.h]))
V = np.array(Image.fromarray(V).resize([self.w, self.h]))
if self.toRGB:
Y = Y / 255.0
U = U / 255.0 - 0.5
V = V / 255.0 - 0.5
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)
self.fp = open(filepath, 'wb')
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()