以下將不定期更新關於OpenCV模組相關應用,
查看用法直接點選下表各項目即可
查看用法直接點選下表各項目即可
- 12月 19 週三 201811:27
[Python] OpenCV應用總整理
- 11月 15 週五 201909:53
[Python + OpenCV] 傅立葉轉換 (Fourier transform)
import cv2
import numpy as np
img = cv2.imread('test.jpg', 0) #讀取灰階影像
f = np.fft.fft2(img) #將影像進行二維的傅立葉轉換, 輸出為複數
- 11月 14 週四 201915:33
[Python + OpenCV] 門檻值(Threshold)對影像做分割處理
Threshold函式:
ret, out = cv2.threshold(image, thresh, max, method)
- 11月 14 週四 201914:37
[Python + OpenCV] Canny邊緣偵測
Canny函式:
cv2.Canny(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient ]]])
- 8月 26 週一 201912:31
[Python + Opencv] Pyinstaller打包程式, cv2.VideoCapture()無法正常執行
使用pyinstaller打包opencv的cv2.VideoCapture()相關函式,
並且執行exe檔時,
- 7月 11 週四 201914:33
[Python + OpenCV] 計算均值及均方差
import cv2
img = cv2.imread('test01.jpg')
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
(mean, stddv) = cv2.meanStdDev(img_gray)
print('均值:', mean)
print('均方差:', stddv)
img = cv2.imread('test01.jpg')
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
(mean, stddv) = cv2.meanStdDev(img_gray)
print('均值:', mean)
print('均方差:', stddv)
- 7月 11 週四 201914:20
[Python + OpenCV] 比較兩張影像的差異性
import cv2
import numpy as np
img = cv2.imread('test01.jpg')
img2 = cv2.imread('test02.jpg')
import numpy as np
img = cv2.imread('test01.jpg')
img2 = cv2.imread('test02.jpg')
- 7月 11 週四 201913:22
[Python + OpenCV] 讀取影片(Loading Video or Multi-Video)
讀取影片
import cv2
capture = cv2.VideoCapture("test.avi")
if capture.isOpened():
while True:
ret, prev = capture.read()
if ret==True:
cv2.imshow('video', prev)
else:
break
if 0xFF & cv2.waitKey(5) == 27:
break
cv2.destroyAllWindows()
import cv2
capture = cv2.VideoCapture("test.avi")
if capture.isOpened():
while True:
ret, prev = capture.read()
if ret==True:
cv2.imshow('video', prev)
else:
break
if 0xFF & cv2.waitKey(5) == 27:
break
cv2.destroyAllWindows()
- 7月 10 週三 201912:39
[Python + OpenCV] 將Camera影像呈現在Tkiner套件(Label)上
import cv2
import tkinter as tk
from PIL import ImageTk, Image
def video_stream():
_, pic = cam.read()
frame = pic.copy()
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
videoLabe.imgtk = imgtk
videoLabe.configure(image=imgtk)
videoLabe.after(1, video_stream)
- 4月 03 週三 201911:11
[Python + OpenCV] 調整影像大小(resize)
import cv2
img = cv2.imread('test.jpg')
img = cv2.imread('test.jpg')
