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
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
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。