感謝up我導(dǎo)[微笑]

我剛剛跑完，在我電腦上有兩個(gè)小問(wèn)題：

1.offset那里不能直接設(shè)置成20像素，因?yàn)閤-20或者y-20他倆有可能會(huì)小于零，當(dāng)小于零的時(shí)候會(huì)直接報(bào)錯(cuò)退出imshow的展示窗口

2.我用0.08*y和0.08*x分別代替x和y方向的offset，但是生成圖片會(huì)出現(xiàn)一個(gè)問(wèn)題，crop會(huì)直接把紅色的邊界框一起切下來(lái)

下面是代碼：

import math

import os.path

import CV2

import numpy as np

from cvzone.HandTrackingModule import HandDetector

# 調(diào)用攝像頭，并展示窗口

cap = CV2.VideoCapture(0)

detector = HandDetector(maxHands=1)

folder6 = "./images/six"

imgsize = 300

counter = 0

while True:

success, img = cap.read()

hands, img = detector.findHands(img)

if hands:

hand = hands[0]

x, y, w, h = hand['bbox']

img_white = np.ones((imgsize, imgsize, 3), np.uint8) * 255

a_y = 0.08*y

a_x = 0.08*x

imgcrop = img[y - int(a_y):y + h + int(a_y), x - int(a_x):x + w + int(a_x)]

aspectRatio = h / w

if aspectRatio > 1:

k = imgsize / h

wcal = math.ceil(k * w)

resized_img = CV2.resize(imgcrop, (wcal, imgsize))

w_offset = math.ceil((imgsize - wcal) / 2)

img_white[:, w_offset:wcal + w_offset] = resized_img

else:

k = imgsize/w

hcal = math.ceil(k*h)

resized_img = CV2.resize(imgcrop, (imgsize, hcal))

h_offset = math.ceil((imgsize - hcal) / 2)

img_white[h_offset:hcal+h_offset, :] =resized_img

CV2.imshow('imgcrop', img_white)

CV2.imshow('image', img)

key = CV2.waitKey(1)

if key == ord("s"):

counter += 1

CV2.imwrite(os.path.join(folder6,f'{counter}.jpg'),img_white)

print(counter)