Question

嗨，我想在树莓派中使用opencv

但是我有一个错误

回溯（最近通话最近）：

中的文件“ testface.py”，第76行

c = max(cnts, key=cv2.contourArea)

cv2.error：OpenCV（4.0.0）/home/pi/opencv-4.0.0/modules/imgproc/src/shapeescr.cpp:272：错误：（-215：断言失败）npoints> = 0 && （contourArea）函数中的（depth == CV_32F || depth == CV_32S）

请参阅我的代码：

# import the necessary packages
from __future__ import print_function
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import RPi.GPIO as GPIO

# initialize GPIO
redLed = 21
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(redLed, GPIO.OUT)

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--picamera", type=int, default=-1,
	help="whether or not the Raspberry Pi camera should be used")
args = vars(ap.parse_args())

# initialize the video stream and allow the camera sensor to warmup
print("[INFO] waiting for camera to warmup...")
vs = VideoStream(usePiCamera=args["picamera"] > 0).start()
time.sleep(2.0)

# define the lower and upper boundaries of the object
# to be detected in the HSV color space
colorLower = (24, 100, 100) 
colorUpper = (44, 255, 255) 

# Start with LED off
print("\n Starting..... ==> Press 'q' to quit Program \n")
GPIO.output(redLed, GPIO.LOW)
ledOn = False

# loop over the frames from the video stream
while True:
	# grab the next frame from the video stream, Invert 180o, resize the
	# frame, and convert it to the HSV color space
	frame = vs.read()
	frame = imutils.resize(frame, width=500)
	frame = imutils.rotate(frame, angle=180)
	hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

	# construct a mask for the obect color, then perform
	# a series of dilations and erosions to remove any small
	# blobs left in the mask
	mask = cv2.inRange(hsv, colorLower, colorUpper)
	mask = cv2.erode(mask, None, iterations=2)
	mask = cv2.dilate(mask, None, iterations=2)

	# find contours in the mask and initialize the current
	# (x, y) center of the object
	cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,
		cv2.CHAIN_APPROX_SIMPLE)
	cnts = cnts[0] if imutils.is_cv2() else cnts[1]
	center = None
	#print("hey")

	if cnts is None:
		cnts = [0]

	# only proceed if at least one contour was found
	if len(cnts) > 0:
		# find the largest contour in the mask, then use
		# it to compute the minimum enclosing circle and
		# centroid
		c = max(cnts, key=cv2.contourArea)
		((x, y), radius) = cv2.minEnclosingCircle(c)
		M = cv2.moments(c)
		center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))

		# only proceed if the radius meets a minimum size
		if radius > 10:
			# draw the circle and centroid on the frame,
			# then update the list of tracked points
			cv2.circle(frame, (int(x), int(y)), int(radius),
				(0, 255, 255), 2)
			cv2.circle(frame, center, 5, (0, 0, 255), -1)

			# if the led is not already on, turn the LED on
			if not ledOn:
				GPIO.output(redLed, GPIO.HIGH)
				ledOn = True
				print("fined")

	# if the object is not detected, turn the LED off
	elif ledOn:
		GPIO.output(redLed, GPIO.LOW)
		ledOn = False

	# show the frame to our screen
	cv2.imshow("Frame", frame)
	key = cv2.waitKey(1) & 0xFF

	# if the 'q' key is pressed, stop the loop
	if key == ord("q"):
		break

# do a bit of cleanup
print("\n Exiting Program and cleanup stuff \n")
GPIO.cleanup()
cv2.destroyAllWindows()
vs.stop()

Answer 1

在这里查看：http://answers.opencv.org/question/102465/error-calling-contourarea/

也许您需要替换：

#ifndef _HEAD_libattach_LocalAttach
#define _HEAD_libattach_LocalAttach

#ifdef OS_LINUX

#include <sys/epoll.h>

namespace libattach {

    typedef std::function<void(const uint64_t ms)> TICK_CALLBACK;
    typedef std::function<void(const bool connected, const std::string &ident)> CONNSTATUS_CALLBACK;
    typedef std::function<void(shaga::Chunk &&)> RECEIVE_CALLBACK;
    typedef std::function<void(const shaga::HWID hwid, const MAI_ROLE role, const uint32_t id, const size_t distance)> NEWCLIENT_CALLBACK;

    class LocalAttach {
        public:

            RECEIVE_CALLBACK _in_callback_func {nullptr};

            void set_receive_callback (RECEIVE_CALLBACK func);

具有：

cnts = [0]

所以您会得到：

cnts = []

您的代码将是：

if cnts == None:
    cnts = []

我认为这会起作用

Answer 2

更改自

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

到

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

Duplicate

树莓派中的c = max（cnts，key = cv2.contourArea）错误

2 个答案: