递归 启发式
递归 启发式 避免步长和可容忍的时延的 固定摇摆
import os import os, time, glob import cv2 os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[ -1] f_img_d = '{}{}{}{}{}'.format(this_file_dirname, os_sep, 'mypng', os_sep, '*.jpg') imgs, img_size_d = glob.glob(f_img_d), {} for i in imgs: img = cv2.imread(i) w_h_s = '{},{}'.format(img.shape[1], img.shape[0]) if w_h_s not in img_size_d: img_size_d[w_h_s] = 1 else: img_size_d[w_h_s] += 1 mode_img_size_wh = [int(i) for i in sorted(img_size_d.items(), key=lambda img_size_d: img_size_d[0], reverse=True)[0][0].split(',')] import os os_sep = os.sep this_file_abspath = os.path.abspath(__file__) this_file_dirname, this_file_name = os.path.dirname(this_file_abspath), os.path.abspath(__file__).split(os_sep)[-1] f_mp3 = '{}{}{}'.format(this_file_dirname, os_sep, 'auido.mp3') from playsound import playsound import time import math this_time = time.time() # playsound(f_mp3) # t_spend = time.time() - this_time t_spend = 58.777058839797974 # 音频的秒数 t_spend = math.ceil(t_spend) import cv2 import glob ''' python+opencv视频图像相互转换 - CSDN博客 https://blog.csdn.net/m0_37733057/article/details/79023693 链接：https://www.zhihu.com/question/49558804/answer/343058915 OpenCV: Drawing Functions in OpenCV https://docs.opencv.org/3.1.0/dc/da5/tutorial_py_drawing_functions.html ''' # 每秒传输帧数(Frames Per Second) fps = 100 # 保存视频的FPS，可以适当调整 FPS是图像领域中的定义，是指画面每秒传输帧数，通俗来讲就是指动画或视频的画面数。FPS是测量用于保存、显示动态视频的信息数量。每秒钟帧数愈多，所显示的动作就会愈流畅。通常，要避免动作不流畅的最低是30。某些计算机视频格式，每秒只能提供15帧。 f_img_d = '{}{}{}{}{}'.format(this_file_dirname, os_sep, 'mypng', os_sep, '*.jpg') imgs = glob.glob(f_img_d) """ 用图片总数均分音频时间 """ os_delay_factor = 0.14 os_delay_factor = 0.11 myinterval = t_spend / len(imgs) * os_delay_factor f, l = 'mybaidu.parp.txt', [] with open(f, 'r', encoding='utf-8') as fr: for i in fr: ii = i.replace('\n', '') l.append(ii) char_loop_l = [] for i in l: mystr, le = '', len(i) for ii in range(le): iii = i[ii] print('-----', iii) mystr = '{}{}'.format(mystr, iii) print(mystr) char_loop_l.append(iii) # # from fontTools.ttLib import TTFont # myfont = TTFont('simhei.ttf') def resize_rescale_pilimg(img_f, w_h_tuple=(mode_img_size_wh[0], mode_img_size_wh[1]), mid_factor=1): img_n, img_type = img_f.split('.')[-2], img_f.split('.')[-1] img_type = 'PNG' img_f_new = '{}{}{}{}'.format(img_n,int(time.time()), 'resize_rescale.', img_type) mid_icon = Image.open(img_f) mid_icon_w, mid_icon_h = w_h_tuple[0] * mid_factor, w_h_tuple[1] * mid_factor mid_icon = mid_icon.resize((mid_icon_w, mid_icon_h), Image.ANTIALIAS) mid_icon.save(img_f_new, img_type) return img_f_new def compute_video_playtime(f): # Create a VideoCapture object and read from input file # If the input is the camera, pass 0 instead of the video file name cap = cv2.VideoCapture(f) # Check if camera opened successfully if (cap.isOpened() == False): print("Error opening video stream or file") # Read until video is completed while (cap.isOpened()): # Capture frame-by-frame ret, frame = cap.read() if ret == True: # Display the resulting frame cv2.imshow('Frame', frame) # Press Q on keyboard to exit if cv2.waitKey(25) & 0xFF == ord('q'): break # Break the loop else: break # When everything done, release the video capture object cap.release() # Closes all the frames cv2.destroyAllWindows() return time.time() - this_time from PIL import Image, ImageDraw, ImageFont myfont = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8") import cv2 import numpy as np def gen_video(os_delay_factor=0.245, mystep=0.01,bear_error_second=1, audio_spend=58.777058839797974): f_v = '{}{}'.format(int(time.time()), 'saveVideo.avi') fps, fourcc = 15, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G') # fourcc = cv2.VideoWriter_fourcc('M', 'J', 'P', 'G') # opencv3.0 videoWriter = cv2.VideoWriter(f_v, fourcc, fps, (mode_img_size_wh[0], mode_img_size_wh[1])) f_v = '{}{}'.format(int(time.time()), 'saveVideo.avi') myinterval = t_spend / (len(char_loop_l) * 1) * os_delay_factor for i in l: i_index = l.index(i) img_index = i_index % len(imgs) imgname = imgs[img_index] mystr, le = '', len(i) for ii in range(le): iii = i[ii] print('-----', iii) if len(mystr) % 15 == 0: mystr = '{}{}'.format(mystr, '\n') mystr = '{}{}'.format(mystr, iii) print(mystr) this_time = time.time() while time.time() - this_time < myinterval: print(imgname) frame = cv2.imread(imgname) del_f=False if (frame.shape[1], frame.shape[0]) != (mode_img_size_wh[0], mode_img_size_wh[1]): imgname = resize_rescale_pilimg(imgname) frame = cv2.imread(imgname) del_f = True else: pass frame_cv2 = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frame_pil = Image.fromarray(frame_cv2) # 转为PIL的图片格式 font = ImageFont.truetype("simhei.ttf", 50, encoding="utf-8") # 第一个参数为字体，中文黑体 # 第二个为字体大小 ImageDraw.Draw(frame_pil).text((100, 20), mystr, (0, 0, 255), font) ''' frame_pil:目标图像 第一个参数为打印的坐标 第二个为打印的文本 第三个为字体颜色 第四个为字体 ''' frame_cv2 = cv2.cvtColor(np.array(frame_pil), cv2.COLOR_RGB2BGR) img = frame_cv2 videoWriter.write(img) if del_f: if os.path.exists(imgname): print(imgname) print('del') # 删除文件，可使用以下两种方法。 os.remove(imgname) # os.unlink(my_file) else: pass videoWriter.release() time.sleep(3) video_playtime = compute_video_playtime(f_v) if video_playtime - audio_spend > bear_error_second: os_delay_factor -= mystep gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=58.777058839797974) elif audio_spend- video_playtime > bear_error_second: os_delay_factor += mystep gen_video(os_delay_factor=os_delay_factor, mystep=0.005, audio_spend=58.777058839797974) else: os._exit(123) gen_video(os_delay_factor=1, mystep=0.005,bear_error_second=1, audio_spend=58.777058839797974) ''' ''' from PIL import Image # # # logo = 'fugu.png' # mid_icon = Image.open(logo) # mid_icon_w, mid_icon_h = mid_icon.size # mid_factor = 5 # mid_icon_w, mid_icon_h = mid_icon_w * mid_factor, mid_icon_h * mid_factor # mid_icon = mid_icon.resize((mid_icon_w * 3, mid_icon_h), Image.ANTIALIAS) # mid_icon.save('fugu.2.png', 'PNG')
