图片自适应

Posted rsapaper

tags:

篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了图片自适应相关的知识，希望对你有一定的参考价值。

图片自适应

 

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 mytuple: mytuple[1], 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):
    print(img_f)
    img_n, img_type = img_f.split(‘.‘)[-2], img_f.split(‘.‘)[-1]
    print(img_n)


    img_n_resize_rescale_pilimg_dir=‘{}{}{}‘.format(os_sep.join(img_n.split(os_sep)[:-1]),‘resize_rescale_pilimg‘,os_sep,img_n.split(os_sep)[-1],os_sep)

    img_n_resize_rescale_pilimg=‘{}{}{}‘.format(img_n_resize_rescale_pilimg_dir,img_n.split(os_sep)[-1],‘.PNG‘)
    print(img_n_resize_rescale_pilimg)

    img_type = ‘PNG‘
    #img_f_new = ‘{}{}{}{}‘.format(img_n, int(time.time()), ‘resize_rescale.‘, img_type)
    img_f_new =img_n_resize_rescale_pilimg
    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_n_resize_rescale_pilimg, 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
    del_f,del_f_img_l = False,[]
    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)
                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)


    videoWriter.release()

    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


    time.sleep(3)
    os._exit(12333)


    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=0.5, 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‘)

　　

 

以上是关于图片自适应的主要内容，如果未能解决你的问题，请参考以下文章

CSS使图片自适应显示宽度代码怎么用？

支持鼠标滚轮图片自适应的焦点图代码等

轮播图js怎么设置图片自适应大小

MFC图片自适应

图片裁剪自适应

怎样用css控制图片自适应大小？