THRESH_OTSU mode: ‘src_type == CV_8UC1 || src_type == CV_16UC1‘ where ‘src_type‘ is 6 (CV_

问题：THRESH_OTSU mode: ‘src_type == CV_8UC1 || src_type == CV_16UC1’ where ‘src_type’ is 6(CV_FC1)

def readTif(src):
    dataset = gdal.Open(src)
    if dataset ==None:
        print(src+"文件无法打开")
    im_width =dataset.RasterXSize
    im_height = dataset.RasterYSize
    im_bands = dataset.RasterCount
    im_geotrans = dataset.GetGeoTransform()
    im_pro = dataset.GetProjection()
    im_data = dataset.ReadAsArray(0,0,im_width,im_height)
    return im_data,im_width,im_height,im_bands,im_geotrans,im_pro
    im_data,im_width,im_height,im_bands,im_geotrans,im_pro =readTif(path)
    
# img_ = cv2.imread(path,0) #灰度图输出
if im_bands > 3:
    raise str("通道数过多无法转换")
elif im_bands == 3:
    img = im_data[0,:,:] * 0.8 +im_data[1,:,:]*0.1 + im_data[2,:,:]*0.1
    # SaveRaster(outPath, img, im_width, im_height, im_pro, im_geotrans,  band=1)

blur = cv2.GaussianBlur(im_data, (5,5), 0)    # 高斯滤波
ret1, th1 = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)  #方法选择为THRESH_OTSU

原因

从异常中发现，可能是数据的类型不一致导致的，分析算法原理

解决方案

img =img.astype("uint8")
ret1, th1 = cv2.threshold(img, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)  #方法选择为THRESH_OTSU