點擊下方“AI算法與圖像處理”,一起進步!
重磅乾貨,第一時間送達
-
https://github.com/cvzone/cvzone
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流行的背景去除技術
讓我們開始實施
-- pip install OpenCV-python
-- pip install cvzone
-- pip install mediapipe
import cv2
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
while True:
success, img = cap.read()
cv2.imshow("Image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
import cv2
import os
for root, subdirs, files in os.walk('D:/pycharmprojects/BackgroundRemover/BackgroundImages'):
for f in files:
if f.endswith('jpg'):
# print(f)
img = cv2.imread('D:/pycharmprojects/BackgroundRemover/BackgroundImages/' + f)
img = cv2.resize(img, (640, 480))
cv2.imwrite('D:/pycharmprojects/BackgroundRemover/BackgroundImages/'+f, img)
print(*["Image", f, "is resized to 640 X 480"])
import cv2
import cvzone
from cvzone.SelfiSegmentationModule import SelfiSegmentation
import os
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
# cap.set(cv2.CAP_PROP_FPS, 60)
segmentor = SelfiSegmentation()
fpsReader = cvzone.FPS()
# imgBG = cv2.imread("BackgroundImages/3.jpg")
listImg = os.listdir("BackgroundImages")
imgList = []
for imgPath in listImg:
img = cv2.imread(f'BackgroundImages/{imgPath}')
imgList.append(img)
indexImg = 0
while True:
success, img = cap.read()
# imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83)
imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8)
imgStack = cvzone.stackImages([img, imgOut], 2,1)
_, imgStack = fpsReader.update(imgStack)
print(indexImg)
cv2.imshow("image", imgStack)
key = cv2.waitKey(1)
if key == ord('a'):
if indexImg>0:
indexImg -=1
elif key == ord('d'):
if indexImg<len(imgList)-1:
indexImg +=1
elif key == ord('q'):
break
import cv2
import cvzone
from cvzone.SelfiSegmentationModule import SelfiSegmentation
import os
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
# cap.set(cv2.CAP_PROP_FPS, 60)
segmentor = SelfiSegmentation()
fpsReader = cvzone.FPS()
# imgBG = cv2.imread("BackgroundImages/3.jpg")
listImg = os.listdir("BackgroundImages")
imgList = []
for imgPath in listImg:
img = cv2.imread(f'BackgroundImages/{imgPath}')
imgList.append(img)
indexImg = 0
while True:
success, img = cap.read()
# imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83)
imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8)
imgStack = cvzone.stackImages([img, imgOut], 2,1)
_, imgStack = fpsReader.update(imgStack)
print(indexImg)
cv2.imshow("image", imgStack)
key = cv2.waitKey(1)
if key == ord('a'):
if indexImg>0:
indexImg -=1
elif key == ord('d'):
if indexImg<len(imgList)-1:
indexImg +=1
elif key == ord('q'):
break
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下載1:何愷明頂會分享
在「AI算法與圖像處理」公衆號後臺回覆:何愷明,即可下載。總共有6份PDF,涉及 ResNet、Mask RCNN等經典工作的總結分析
下載2:終身受益的編程指南:Google編程風格指南
在「AI算法與圖像處理」公衆號後臺回覆:c++,即可下載。歷經十年考驗,最權威的編程規範!
下載3 CVPR2021
在「AI算法與圖像處理」公衆號後臺回覆:
CVPR
,即可下載1467篇CVPR 2020論文 和 CVPR 2021 最新論文
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