import tensorflow as tf device_name = tf.test.gpu_device_name() if device_name != '/device:GPU:0': raise SystemError('GPU device not found') print('Found GPU at: {}'.format(device_name)) import sys import os import time import threading import cv2 import pyprind class CharFrame: ascii_char = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. " # 像素映射到字符 def pixelToChar(self, luminance): return self.ascii_char[int(luminance/256*len(self.ascii_char))] # 将普通帧转为 ASCII 字符帧 def convert(self, img, limitSize=-1, fill=False, wrap=False): if limitSize != -1 and (img.shape[0] > limitSize[1] or img.shape[1] > limitSize[0]): img = cv2.resize(img, limitSize, interpolation=cv2.INTER_AREA) ascii_frame = '' blank = '' if fill: blank += ' '*(limitSize[0]-img.shape[1]) if wrap: blank += '\n' for i in range(img.shape[0]): for j in range(img.shape[1]): ascii_frame += self.pixelToChar(img[i,j]) ascii_frame += blank return ascii_frame class I2Char(CharFrame): result = None def __init__(self, path, limitSize=-1, fill=False, wrap=False): self.genCharImage(path, limitSize, fill, wrap) def genCharImage(self, path, limitSize=-1, fill=False, wrap=False): img = cv2.imread(path, cv2.IMREAD_GRAYSCALE) if img is None: return self.result = self.convert(img, limitSize, fill, wrap) def show(self, stream = 2): if self.result is None: return if stream == 1 and os.isatty(sys.stdout.fileno()): self.streamOut = sys.stdout.write self.streamFlush = sys.stdout.flush elif stream == 2 and os.isatty(sys.stderr.fileno()): self.streamOut = sys.stderr.write self.streamFlush = sys.stderr.flush elif hasattr(stream, 'write'): self.streamOut = stream.write self.streamFlush = stream.flush self.streamOut(self.result) self.streamFlush() self.streamOut('\n') class V2Char(CharFrame): charVideo = [] timeInterval = 0.033 def __init__(self, path): if path.endswith('txt'): self.load(path) else: self.genCharVideo(path) def genCharVideo(self, filepath): self.charVideo = [] cap = cv2.VideoCapture(filepath) self.timeInterval = round(1/cap.get(5), 3) nf = int(cap.get(7)) print('Generate char video, please wait...') for i in pyprind.prog_bar(range(nf)): rawFrame = cv2.cvtColor(cap.read()[1], cv2.COLOR_BGR2GRAY) frame = self.convert(rawFrame, (180, 50), fill=True) self.charVideo.append(frame) cap.release() def export(self, filepath): if not self.charVideo: return with open(filepath,'w') as f: for frame in self.charVideo: # 加一个换行符用以分隔每一帧 f.write(frame + '\n') def load(self, filepath): self.charVideo = [] # 一行即为一帧 for i in open(filepath): self.charVideo.append(i[:-1]) def play(self, stream = 1): # Bug: # 光标定位转义编码不兼容 Windows if not self.charVideo: return if stream == 1 and os.isatty(sys.stdout.fileno()): self.streamOut = sys.stdout.write self.streamFlush = sys.stdout.flush elif stream == 2 and os.isatty(sys.stderr.fileno()): self.streamOut = sys.stderr.write self.streamFlush = sys.stderr.flush elif hasattr(stream, 'write'): self.streamOut = stream.write self.streamFlush = stream.flush breakflag = False def getChar(): nonlocal breakflag try: # 若系统为 windows 则直接调用 msvcrt.getch() import msvcrt except ImportError: import termios, tty # 获得标准输入的文件描述符 fd = sys.stdin.fileno() # 保存标准输入的属性 old_settings = termios.tcgetattr(fd) try: # 设置标准输入为原始模式 tty.setraw(sys.stdin.fileno()) # 读取一个字符 ch = sys.stdin.read(1) finally: # 恢复标准输入为原来的属性 termios.tcsetattr(fd, termios.TCSADRAIN, old_settings) if ch: breakflag = True else: if msvcrt.getch(): breakflag = True # 创建线程 getchar = threading.Thread(target=getChar) # 设置为守护线程 getchar.daemon = True # 启动守护线程 getchar.start() # 输出的字符画行数 rows = len(self.charVideo[0])//os.get_terminal_size()[0] for frame in self.charVideo: # 接收到输入则退出循环 if breakflag: break self.streamOut(frame) self.streamFlush() time.sleep(self.timeInterval) # 共 rows 行,光标上移 rows-1 行回到开始处 self.streamOut('\033[{}A\r'.format(rows-1)) # 光标下移 rows-1 行到最后一行,清空最后一行 self.streamOut('\033[{}B\033[K'.format(rows-1)) # 清空最后一帧的所有行(从倒数第二行起) for i in range(rows-1): # 光标上移一行 self.streamOut('\033[1A') # 清空光标所在行 self.streamOut('\r\033[K') if breakflag: self.streamOut('User interrupt!\n') else: self.streamOut('Finished!\n') v2char = V2Char("xinjilu.mp4")