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main.py
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import cv2
import numpy as np
import time
import os
import drawer
import getTxt
import cv2 as cv
import argparse
def arg_parse():
parser = argparse.ArgumentParser(
usage="python %(prog)s [参数名] [参数值]"
)
parser.add_argument(
"--input", help="输入的视频或图片文件路径", required=True, type=str
)
parser.add_argument(
"--output_dir", help="输出目录", default='./output', type=str
)
parser.add_argument(
"--name", help="输出文件名", default='output.' + str(int(time.time())), type=str
)
parser.add_argument(
"--mp4", help="是否输出MP4格式文件，仅在--pic参数为false时有效（默认avi）", action='store_true', default=False
)
parser.add_argument(
"--times", help="视频转字符块分辨率下降的倍数，建议不小于4。该数值越小，处理越慢。（默认为6）", default=8, type=int
)
parser.add_argument(
"--keep_audio", help="是否需要保留音频（默认保留）", action='store_true', default=True
)
parser.add_argument(
"--pic", help="是否处理图片（要求--input参数指向一张图片。默认为否，表示处理文本）", action='store_true', default=False
)
parser.add_argument(
"--mapping_str", help="与灰阶相映射的字符集，不建议改动，不支持中文字符", default='MN#HQ$OC?&>!:-. ', type=str
)
options, _ = parser.parse_known_args() # _ 用于接受命令行中未定义的参数，不做处理
return options
# 命令行参数构成的对象
opt = arg_parse()
def generate_video():
video = cv.VideoCapture(opt.input)
# 分辨率降低的倍数
times = opt.times
# 获取帧的宽高
w, h = int(video.get(cv.CAP_PROP_FRAME_WIDTH)), int(video.get(cv.CAP_PROP_FRAME_HEIGHT))
print('视频长' + str(w), '，宽' + str(h))
# 获取原视频帧率
fps = video.get(cv.CAP_PROP_FPS)
# 获取帧数
frame_count = video.get(cv.CAP_PROP_FRAME_COUNT)
# 文字图片集合
img_set = []
cnt = 0
# while video.isOpened():
# # 获取每一帧
# cnt += 1
# ret, frame = video.read()
# if ret:
# if cnt % 10 == 0:
# cv.imwrite(str(cnt) + '.jpg', frame)
#
# video.release()
# return
while video.isOpened():
# 获取每一帧
cnt += 1
ret, frame = video.read()
# if cnt == 1:
# cv.imwrite('origin.jpg', frame)
# frame = cv.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# cv.imwrite('plain.jpg', frame)
# frame_enhanced = getTxt.enhance_contrast(frame)
# cv.imwrite('enhance.jpg', frame_enhanced)
#
# h, w = frame.shape # 注意不是 w, h
# h_new, w_new = int(h / times), int(w / times)
#
# frame_small = cv.resize(frame, (w_new, h_new))
# cv.imwrite('small.jpg', frame_small)
# frame_smaller = getTxt.down_sample(frame, times)
# cv.imwrite('smaller.jpg', frame_smaller)
# frame_txt = drawer.draw(getTxt.to_txt(frame, opt.mapping_str, times), (int(7 * w / times), int(7 * h / times)))
# cv.imwrite('txt.jpg', np.asarray(frame_txt))
#
# frame_small_enhance = cv.resize(frame_enhanced, (w_new, h_new))
# cv.imwrite('small_enhance.jpg', frame_small_enhance)
# frame_smaller_enhance = getTxt.down_sample(frame_enhanced, times)
# cv.imwrite('smaller_enhance.jpg', frame_smaller_enhance)
# frame_txt_enhance = drawer.draw(getTxt.to_txt(frame_enhanced, opt.mapping_str, times), (int(7 * w / times), int(7 * h / times)))
# cv.imwrite('txt_enhance.jpg', np.asarray(frame_txt))
# video.release()
# return
if ret:
if cnt == 1:
print('视频读取成功，正在处理...')
# 将帧转为单通道图像
frame = cv.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# 获得该帧图像的txt文本
strs = getTxt.to_txt(frame, opt.mapping_str, times)
# 7也许可以通过精确计算得出，但这里我是调参得到的（随便尝试了几个整数）
txt_frame = drawer.draw(strs, (int(7 * w / times), int(7 * h / times)))
# Image类型需要转为一般数组
img_set.append(np.asarray(txt_frame))
else:
break
if cnt % 30 == 0:
print('已处理' + str(cnt) + '/' + str(int(frame_count)) + '帧')
# 图片合成视频
print('正在合并图片...')
output_dir = opt.output_dir
if not os.path.exists(output_dir):
os.makedirs(output_dir)
if opt.mp4:
suffix = '.mp4'
fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', 'V')
else:
suffix = '.avi'
fourcc = cv2.VideoWriter_fourcc('X', 'V', 'I', 'D')
nh, nw, _ = img_set[0].shape # 注意这里的shape有三个维度，不是单通道
full_name = os.path.join(output_dir, opt.name + suffix)
res_video = cv2.VideoWriter(
full_name,
fourcc,
int(fps + 0.5), # 四舍五入转整
(nw, nh)
)
for res_img in img_set:
res_video.write(res_img)
video.release()
res_video.release()
print("转换成功！视频保存为：" + full_name)
def generate_pic():
# 读取单通道
img = cv.imread(opt.input, 0)
# 获得对应字符串集合
strs = getTxt.to_txt(img, opt.mapping_str, opt.times)
times = opt.times
h, w = img.shape
# 字符串写入新图片
txt_img = np.asarray(drawer.draw(strs, (int(7 * w / times), int(7 * h / times))))
output_dir = opt.output_dir
if not os.path.exists(output_dir):
os.makedirs(output_dir)
full_name = os.path.join(output_dir, opt.name + '.jpg')
cv.imwrite(full_name, txt_img)
print("转换成功！图片保存为：" + full_name)
if __name__ == '__main__':
if not opt.pic:
generate_video()
else:
generate_pic()