整个程序是将从一个文件夹中提取的每个图像的光流可视化。当我应用draw_flow函数时,问题发生了。我已经将图像数组转换为一个元组,但它不是一个如错误所述的数值元组。我不知道怎么解决这个问题。 当我试图执行以下代码时:
def draw_flow(im, greyim, flow, step = 16):
h, w = im.shape[:2]
y, x = np.mgrid[step/2:h:step,step/2:w:step].reshape(2, -1)
fx, fy = flow[y,x].T
lines = np.vstack([x, y, x+fx, y+fy]).T.reshape(-1,2,2)
lines = np.int32(lines)
for(x1,y1),(x2,y2) in lines:
cv2.line(greyim, (x1,y1), 1, (0,255,0), -1)
return greyim
def main():
mypath = 'jpl_thomas'
onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath,f)) ]
color_images = np.empty(len(onlyfiles), dtype=object)
gray_images = np.empty(len(onlyfiles), dtype=object)
for n in range(1, len(onlyfiles)):
color_images[n] = cv2.imread(join(mypath,onlyfiles[n]))
gray_images[n] = cv2.imread(join(mypath,onlyfiles[n]),0)
for i in range(2, len(gray_images)):
flow =cv2.calcOpticalFlowFarneback(gray_images[i],gray_images[i-1], None, 0.5, 3, 15, 3, 5, 1.2, 0)
draw_flow(color_images[i],tuple(gray_images[i]),flow, step = 16)
我收到这样的错误信息:
^{pr2}$
为什么要将
gray_images[i]
作为元组传递?因为,不用在我的机器上转换成元组就可以了。在我猜你为了中间测试修改了这条线,因为它不正确。在
根据文件
^{pr2}$pt2
是作为元组传递的点,thickness
必须是非负数。在相关问题 更多 >
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