出现以下错误消息: error：(-215:断言失败) npoints >= 0 && (depth == CV_32F || depth == CV_32S) in function 'cv::contourArea‘开发者社区

link之家

链接快照平台

输入网页链接，自动生成快照
标签化管理网页链接

相关文章推荐

考研的投影仪 · EVA 收官之作、豆瓣评分 ...· 2 月前 ·

热情的跑步鞋 · 滴滴海外包车上线11国26城|滴滴_新浪财经· 2 月前 ·

一身肌肉的酱肘子 · Nat. ...· 2 月前 ·

从容的木耳 · 顾敏院士团队成果入选“2024中国光学十大社 ...· 2 月前 ·

慷慨大方的吐司 · 泡学网：如何把男性恋爱培训变成一桩买卖的 ...· 1 月前 ·

留胡子的火车 · QT ...· 2 年前 ·

稳重的蟠桃 · 【项目实战】Java 开发 Kafka ...· 2 年前 ·

玉树临风的领带 · 一场pandas与SQL的巅峰大战（三）-腾 ...· 2 年前 ·

精明的冲锋衣 · vba解析json数据并写入数组-掘金· 2 年前 ·

飘逸的煎鸡蛋 · FileProvider ...· 2 年前 ·

腾讯云

开发者社区

文档意见反馈控制台

首页 TVP

文章/答案/技术大牛

发布

error: (-215:Assertion failed) npoints >= 0 && (depth == CV_32F || depth == CV_32S) in function 'cv::contourArea

from imutils.perspective import four_point_transform
from imutils import contours
import numpy as np
import imutils
import cv2
ct = 0
cap = cv2.VideoCapture(0)
correct = 0
gb = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]
while (1):
    ct = 0
    ret, image = cap.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (3, 3), 0)
    edged = cv2.Canny(blurred, 20, 150)
    cv2.imshow("Camera", edged)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    cv2.moveWindow("Camera", 0, 0)
    cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
                            cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if imutils.is_cv2() else cnts[1]
    docCnt = None
    if len(cnts) > 0:
       cnts = sorted(cnts, key=cv2.contourArea, reverse=True)
    for c in cnts:
        peri = 0.02 * cv2.arcLength(c, True)
        approx = cv2.approxPolyDP(c, peri, True)
        if len(approx) == 4:
            ct = 1
            docCnt = approx
            break
if ct == 1:
        paper = four_point_transform(image, docCnt.reshape(4, 2))
        warped = four_point_transform(gray, docCnt.reshape(4, 2))
        altura = paper.shape[0] // 11
        largura = paper.shape[0] // 2.95
        paper = paper[altura:paper.shape[0], largura:paper.shape[1]]
        thresh = cv2.threshold(warped, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
thresh = thresh[altura:thresh.shape[0], largura:thresh.shape[1]]
if thresh.shape[0] > 0 and thresh.shape[1] > 0:
    cnts = cv2.findContours(thresh.copy(),
                            cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if imutils.is_cv2() else cnts[1]
    questionCnts = []
    for c in cnts:
        tamanho = thresh.shape[1] / 5
        (x, y, w, h) = cv2.boundingRect(c)
        ar = w / float(h)
        approx = cv2.approxPolyDP(c, peri, True)
        if (w <= tamanho and h < tamanho) and (ar >= 1.6 and ar <= 2.6) and (w > tamanho / 10 and h > tamanho / 10):
            questionCnts.append(c)
            print(len(questionCnts))
            if len(questionCnts) == 50:
                break
cont = 0
x = 0
y = 0
res = []
bubbled = []
questao = []
for (q, i) in enumerate(np.arange(0, len(questionCnts), 5)):
    cont = 0
    cnts = contours.sort_contours(questionCnts[i:i + 5])[0]
    bubbled = []
    for (j, c) in enumerate(cnts):
        x = thresh.shape[0]
        y = thresh.shape[1]
        mask = np.zeros(thresh.shape, dtype="uint8")
        cv2.drawContours(mask, [c], -1, 255, -1)
        mask = cv2.bitwise_and(thresh, thresh, mask=mask)
        total = cv2.countNonZero(mask)
        if total > x // 20 * y // 10:
            bubbled.append(j)
            cont += 1
        if cont == 1:
            res.append(bubbled[0])
        else:
            res.append(-1)
        color = (0, 0, 255)
        k = gb[q]
        if cont == 1:
            if k == bubbled[0]:
                color = (0, 255, 0)
                correct += 1
        for s in range(cont):
            cv2.drawContours(paper, [cnts[bubbled[s]]], -1, color, 3)
res2 = []
for i in range(len(res)):
    res2.append(res[len(res) - i - 1])
print("Gabarito:", gb)
print("Respostas:", res2)
print("Nota:", float(correct))
cv2.imshow("Cartao Resposta", paper)
cv2.waitKey(0)
cv2.imshow("real", image)
cv2.waitKey(0)
cap.release()

cnts = cnts[0] if imutils.is_cv2() else cnts[1]

cnts = cnts[1] if imutils.is_cv2() else cnts[0]

from imutils.perspective import four_point_transform
from imutils import contours
import numpy as np
import imutils
import cv2
ct = 0
cap = cv2.VideoCapture(0)
correct = 0
gb = [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]
while (1):
    ct = 0
    ret, image = cap.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (3, 3), 0)
    edged = cv2.Canny(blurred, 20, 150)
    cv2.imshow("Camera", edged)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    cv2.moveWindow("Camera", 0, 0)
    cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
                            cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[1] if imutils.is_cv2() else cnts[0]
    docCnt = None
    if len(cnts) > 0:
       cnts = sorted(cnts, key=cv2.contourArea, reverse=True)
    for c in cnts:
        peri = 0.02 * cv2.arcLength(c, True)
        approx = cv2.approxPolyDP(c, peri, True)
        if len(approx) == 4:
            ct = 1
            docCnt = approx
            break
if ct == 1:
        paper = four_point_transform(image, docCnt.reshape(4, 2))
        warped = four_point_transform(gray, docCnt.reshape(4, 2))
        altura = paper.shape[0] // 11
        largura = paper.shape[0] // 2.95
        paper = paper[altura:paper.shape[0], largura:paper.shape[1]]
        thresh = cv2.threshold(warped, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
        thresh = thresh[altura:thresh.shape[0], largura:thresh.shape[1]]
if thresh.shape[0] > 0 and thresh.shape[1] > 0:
    cnts = cv2.findContours(thresh.copy(),
                            cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if imutils.is_cv2() else cnts[1]
    questionCnts = []
    for c in cnts:
        tamanho = thresh.shape[1] / 5
        (x, y, w, h) = cv2.boundingRect(c)
        ar = w / float(h)
        approx = cv2.approxPolyDP(c, peri, True)
        if (w <= tamanho and h < tamanho) and (ar >= 1.6 and ar <= 2.6) and (w > tamanho / 10 and h > tamanho / 10):
            questionCnts.append(c)
            print(len(questionCnts))
            if len(questionCnts) == 50:
                break
cont = 0
x = 0
y = 0
res = []
bubbled = []
questao = []
for (q, i) in enumerate(np.arange(0, len(questionCnts), 5)):
    cont = 0
    cnts = contours.sort_contours(questionCnts[i:i + 5])[0]
    bubbled = []
    for (j, c) in enumerate(cnts):
        x = thresh.shape[0]
        y = thresh.shape[1]
        mask = np.zeros(thresh.shape, dtype="uint8")
        cv2.drawContours(mask, [c], -1, 255, -1)
        mask = cv2.bitwise_and(thresh, thresh, mask=mask)
        total = cv2.countNonZero(mask)
        if total > x // 20 * y // 10:
            bubbled.append(j)
            cont += 1
        if cont == 1:
            res.append(bubbled[0])
        else:
            res.append(-1)
        color = (0, 0, 255)
        k = gb[q]
        if cont == 1:
            if k == bubbled[0]:
                color = (0, 255, 0)
                correct += 1
        for s in range(cont):
            cv2.drawContours(paper, [cnts[bubbled[s]]], -1, color, 3)
res2 = []
for i in range(len(res)):
    res2.append(res[len(res) - i - 1])
print("Gabarito:", gb)
print("Respostas:", res2)

回答 1

Stack Overflow用户