Python cv2 模块，COLOR_YCR_CB2BGR 实例源码

def img_recover(img):
    img1=img[0,:,:,:]
    img1 = npy.swapaxes(img1, 0, 2)
    img1 = npy.swapaxes(img1, 0, 1)
    img1=npy.maximum(-1,npy.minimum(1,img1))
    img1=img1*128.0+128.0    
#    img1=img1.astype(npy.uint8)
#    img1=cv2.cvtColor(img1,cv2.COLOR_YCR_CB2BGR)
    return img1

def hisEqulColor(img):
    ycrcb=cv2.cvtColor(img,cv2.COLOR_BGR2YCR_CB)
    channels=cv2.split(ycrcb)
    # create a CLAHE object
    clahe = cv2.createCLAHE()
    channels[0] = clahe.apply(channels[0])
    cv2.merge(channels,ycrcb)
    cv2.cvtColor(ycrcb,cv2.COLOR_YCR_CB2BGR,img)

def color_draw(path="img/sjtu.jpg", gammaS=1, gammaI=1):
    im = Image.open(path)

    if im.mode == 'RGB':
        ycbcr = im.convert('YCbCr')
        Iruv = np.ndarray((im.size[1], im.size[0], 3), 'u1', ycbcr.tobytes())
        type = "colour"
    else:
        Iruv = np.array(im)
        type = "black"

    S = get_s(Iruv[:, :, 0], gammaS=gammaS)
    T = get_t(Iruv[:, :, 0], type, gammaI=gammaI)
    Ypencil = S * T

    new_Iruv = Iruv.copy()
    new_Iruv.flags.writeable = True
    new_Iruv[:, :, 0] = Ypencil * 255

    R = cv2.cvtColor(new_Iruv, cv2.COLOR_YCR_CB2BGR)
    img = Image.fromarray(R)
    # img.show()

    name = path.rsplit("/")[-1].split(".")[0]
    suffix = path.rsplit("/")[-1].split(".")[1]

    save_output(Image.fromarray(S * 255), name + "_s", suffix)
    save_output(Image.fromarray(T * 255), name + "_t", suffix)
    save_output(img, name + "_color", suffix)