我正在尝试将轮廓尺寸调整为28x28像素,并将其通过我的模型以检测数字并显示它。但是,我对function有问题cv2.resize()
。这是我的代码:
ret, frame = cap.read()
if ret == False:
continue
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (5, 5), 0)
edged = cv2.Canny(blurred, 50, 200, 255)
# Threshold the image
threshold = cv2.adaptiveThreshold(edged, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 4)
# Find contours in the image
_, contours, _= cv2.findContours(threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# ******************************************************************* #
# Get rectangles contains each contour
rects = [cv2.boundingRect(ctr) for ctr in contours]
for rect in rects:
# Draw the rectangles
cv2.rectangle(frame, (rect[0], rect[1]), (rect[0] + rect[2], rect[1] + rect[3]), (0, 255, 0), 3)
# Make the rectangular region around the digit
leng = int(rect[3] * 1.6)
pt1 = int(rect[1] + rect[3] // 2 - leng // 2)
pt2 = int(rect[0] + rect[2] // 2 - leng // 2)
height, width = frame.shape[:2]
if pt1+leng > width or pt2+leng > height:
continue;
roi = frame[pt1:pt1+leng, pt2:pt2+leng]
# Resize the image
roi = cv2.resize(roi, (28, 28), cv2.INTER_AREA)
roi = cv2.dilate(roi, (3, 3))
#nbr = clf.predict(np.array([roi_hog_fd], 'float64'))
#cv2.putText(frame, str(int(nbr)), (rect[0], rect[1]),cv2.FONT_HERSHEY_DUPLEX, 1, (0, 0, 255), 3)
cv2.putText(frame, "2", (rect[0], rect[1]),cv2.FONT_HERSHEY_DUPLEX, 1, (0, 0, 255), 3)
我得到的错误是:
错误:C:\ projects \ opencv-python \ opencv \ modules \ imgproc \ src \ resize.cpp:4044:错误:(-215)函数cv :: resize中的ssize.width> 0 && ssize.height> 0
调整视频原始帧的大小(之前未应用任何其他cv2功能)效果很好。
有什么建议么?
问题是我试图获取负坐标图像,所以无法获取。我只是扩大条件if pt1+leng > width or pt2+leng > height or pt2 < 0 or pt1 < 0:
,它的工作原理。
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我来说两句