App下載

python怎么通過(guò)按鍵采集圖片源碼?

猿友 2021-07-27 09:35:58 瀏覽數(shù) (2203)
反饋

對(duì)于圖像采集而言,OpenCV仍然是當(dāng)前相當(dāng)不錯(cuò)的一個(gè)選擇之一,接下來(lái)的這篇文章小編就來(lái)介紹一下python怎么使用OpenCV采集圖片源碼吧。

一、python版本

寫(xiě)了個(gè)python opencv的小demo,可以通過(guò)鍵盤(pán)按下字母s進(jìn)行采集圖像。

功能說(shuō)明

“N” 新建文件夾 data/ 用來(lái)存儲(chǔ)圖像
“S” 開(kāi)始采集圖像,將采集到的圖像放到 data/ 路徑下
“Q” 退出窗口

python opencv源碼

'''

“N”  新建文件夾 data/  用來(lái)存儲(chǔ)圖像
"S"   開(kāi)始采集圖像,將采集到的圖像放到 data/ 路徑下
“Q”   退出窗口
'''

import numpy as np  # 數(shù)據(jù)處理的庫(kù) Numpy
import cv2          # 圖像處理的庫(kù) OpenCv
import os           # 讀寫(xiě)文件
import shutil       # 讀寫(xiě)文件
from PIL import Image, ImageDraw, ImageFont


# # OpenCv 調(diào)用攝像頭 / Use camera
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,1920)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,1080)

'''
#功能函數(shù),只是用來(lái)往圖片中顯示漢字
#示例 img = cv2ImgAddText(cv2.imread('img1.jpg'), "大家好,我是片天邊的云彩", 10, 65, (0, 0, 139), 20)
參數(shù)說(shuō)明:
img:OpenCV圖片格式的圖片
text:要寫(xiě)入的漢字
left:字符坐標(biāo)x值
top:字符坐標(biāo)y值
textColor:字體顏色
:textSize:字體大小
'''
def cv2ImgAddText(img, text, left, top, textColor=(0, 255, 0), textSize=20):
    if (isinstance(img, np.ndarray)):  # 判斷是否OpenCV圖片類(lèi)型
        img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
    # 創(chuàng)建一個(gè)可以在給定圖像上繪圖的對(duì)象
    draw = ImageDraw.Draw(img)
    # 字體的格式
    fontStyle = ImageFont.truetype(
        "font/simsun.ttc", textSize, encoding="utf-8")
    # 繪制文本
    draw.text((left, top), text, textColor, font=fontStyle)
    # 轉(zhuǎn)換回OpenCV格式
    return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)

# 存儲(chǔ)圖像的文件夾 
current_dir = ""
# 保存  圖像 的路徑 
path_photos_from_camera = "data/"

press_n_flag = 0
cnt_ss=0



while cap.isOpened():
    flag, img_rd = cap.read()
    #print(img_rd.shape)

    kk = cv2.waitKey(2)
    # 待會(huì)要寫(xiě)的字體 / Font to write
    font = cv2.FONT_ITALIC

    # 4. 按下 'n' 新建存儲(chǔ)人臉的文件夾 / press 'n' to create the folders for saving faces
    if kk == ord('N') or kk == ord('n'):
        current_dir = path_photos_from_camera
        #os.makedirs(current_dir)
        if os.path.isdir(current_dir):
            pass
        else:
            os.mkdir(current_dir)
        print('
')
        print("新建的保存圖像的文件夾 / Create folders: ", current_dir)

        press_n_flag = 1        # 已經(jīng)按下 'n' / have pressed 'n'


    # 5. 按下 's' 保存攝像頭中的圖像到本地 / Press 's' to save image into local images
    if kk == ord('S') or kk == ord('s'):
        # 檢查有沒(méi)有先按'n'新建文件夾 / check if you have pressed 'n'
        if press_n_flag:
            cnt_ss += 1
            cv2.imwrite(current_dir + "/img_" + str(cnt_ss) + ".jpg", img_rd)
            print("寫(xiě)入本地 / Save into:", str(current_dir) + "/img_face_" + str(cnt_ss) + ".jpg")
        else:
            print("請(qǐng)?jiān)诎?'S' 之前先按 'N' 來(lái)建文件夾 / Please press 'N' before 'S'")


    # 添加說(shuō)明 / Add some statements
    #cv2.putText(img_rd, "Face Register", (20, 40), font, 1, (0, 255, 0), 1, cv2.LINE_AA)
    img_rd = cv2ImgAddText(img_rd, "圖片采集系統(tǒng)", 160, 25, (0, 255,0), 30)
    #cv2.putText(img_rd, "N: Create face folder", (20, 350), font, 0.8, (0, 255, 0), 1, cv2.LINE_AA)
    img_rd = cv2ImgAddText(img_rd, "N: 創(chuàng)建保存圖像文件夾", 20, 350, (0, 255, 0), 20)
    #cv2.putText(img_rd, "S: Save current face", (20, 400), font, 0.8, (0, 255, 0), 1, cv2.LINE_AA)
    img_rd = cv2ImgAddText(img_rd, "S: 保存當(dāng)前圖片", 20, 400, (0, 255, 0), 20)
    #cv2.putText(img_rd, "Q: Quit", (20, 450), font, 0.8, (0, 0, 0), 1, cv2.LINE_AA)
    img_rd = cv2ImgAddText(img_rd, "Q: 退出", 20, 450, (0, 255, 0), 20)

    # 6. 按下 'Q' 鍵退出 / Press 'q' to exit
    if kk == ord('Q') or kk == ord('q'):
        break
    # 如果需要攝像頭窗口大小可調(diào) / Uncomment this line if you want the camera window is resizeable
    cv2.namedWindow("camera", 0)
    cv2.imshow("camera", img_rd)

# 釋放攝像頭 / Release camera and destroy all windows
cap.release()
cv2.destroyAllWindows()

效果圖

圖像采集結(jié)果

安裝相關(guān)庫(kù)

windows安裝

pip install pillow

tx2/linux/…

sudo apt-get install python3-pillow

二、c語(yǔ)言版本

 c語(yǔ)言源碼

/*****************************************************
2021.5.18:按鍵采集圖像
******************************************************/
#include "opencv2/core/core.hpp"    
#include "opencv2/imgproc/imgproc.hpp"    
#include "opencv2/calib3d/calib3d.hpp"    
#include "opencv2/highgui/highgui.hpp"    
#include <iostream>    
#include <fstream>    

using namespace cv;
using namespace std;

#define SRC_WIDTH  1920
#define SRC_HEIGHT 1080

int main()
{
	//測(cè)試視頻
	VideoCapture capture;
	capture.open(1);
	//capture.open("v4l2src device=/dev/video4 ! video/x-raw,width=1920,height=1020,framerate=30/1 ! videoconvert ! appsink");
	if (!capture.isOpened())
	{
		printf("文件打開(kāi)失敗");
	}
	capture.set(CAP_PROP_FRAME_WIDTH, SRC_WIDTH);        //設(shè)置寬度
	capture.set(CAP_PROP_FRAME_HEIGHT, SRC_HEIGHT);  //設(shè)置長(zhǎng)度
	Mat frame;
	int n = 0;
	char* cstr = new char[120];
	while (true)
	{
		
		capture >> frame;
		if (frame.data == NULL)
		{
			printf("Image is empty
");
			//writer.write(frame);
			break;
			//continue;
		}
		char kk=waitKey(2);
		if (kk == 'S' || kk == 's')
		{

			sprintf(cstr, "%s%d%s", "caliberation/", n++, ".jpg");
			imwrite(cstr, frame);
			printf("保存了圖片
");

		}

		
		namedWindow("111", 0);//參數(shù)為零,則可以自由拖動(dòng)
		imshow("111", frame);
		waitKey(2);
	}

	return 0;

}

效果圖

圖像采集結(jié)果

到此這篇python使用opencv采集圖片源碼的文章就介紹到這了,更多opencv和python學(xué)習(xí)內(nèi)容請(qǐng)搜索W3Cschool以前的文章或繼續(xù)瀏覽下面的相關(guān)文章。

0 人點(diǎn)贊