Question

我有这张带标签的图像，我想用包围盒将每种颜色包围起来以找到每个物体的中心我该如何使用python或javascript的Open Cv库做到这一点

我是python的初学者，我尝试过此代码，但显示错误：服务器遇到内部错误，无法完成您的请求。

错误消息：标头之前的脚本输出结束：bounding_color_objects.py

#!c:\Users\Asus\AppData\Local\Programs\Python\Python37-32\python.exe
import cgitb
cgitb.enable()
print('Content-type: text/html\r\n')
print('\r\n')
import cv2
import numpy as np

image_hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
h,_,_ = cv2.split(image_hsv)
bins = np.bincount(h.flatten())
MIN_PIXEL_CNT_PCT = (1.0/20.0)
peaks = np.where(bins > (h.size * MIN_PIXEL_CNT_PCT))[0]

for i, peak in enumerate(peaks):
mask = cv2.inRange(h, peak, peak)
blob = cv2.bitwise_and(image, image, mask=mask)
_, contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

for j, contour in enumerate(contours):
bbox = cv2.boundingRect(contour)
contour_mask = np.zeros_like(mask)
cv2.drawContours(contour_mask, contours, j, 255, -1)

region = blob.copy()[bbox[1]:bbox[1]+bbox[3],bbox[0]:bbox[0]+bbox[2]]
region_mask = contour_mask[bbox[1]:bbox[1]+bbox[3],bbox[0]:bbox[0]+bbox[2]]
region_masked = cv2.bitwise_and(region, region, mask=region_mask)

result = cv2.bitwise_and(blob, blob, mask=contour_mask)
top_left, bottom_right = (bbox[0], bbox[1]), (bbox[0]+bbox[2], bbox[1]+bbox[3])
cv2.rectangle(result, top_left, bottom_right, (255, 255, 255), 2)

cv2.imshow('image',result)
cv2.waitKey(0)
cv2.destroyAllWindows()

打开cv图像处理边界框javascript

0 个答案: