我试着翻译下面的Python功能,应用于口罩,图像,到Java:翻译Python函数来敷面膜图像转换成Java
# Applies an image mask.
def region_of_interest(img, vertices):
#defining a blank mask to start with
mask = np.zeros_like(img)
#defining a 3 channel or 1 channel color to fill the mask with depending on the input image
if len(img.shape) > 2:
channel_count = img.shape[2] # i.e. 3 or 4 depending on your image
ignore_mask_color = (255,) * channel_count
else:
ignore_mask_color = 255
#filling pixels inside the polygon defined by "vertices" with the fill color
cv2.fillPoly(mask, vertices, ignore_mask_color)
#returning the image only where mask pixels are nonzero
masked_image = cv2.bitwise_and(img, mask)
return masked_image
到目前为止,这是我” ve得到了:
public static opencv_core.Mat applyMask(opencv_core.Mat image, opencv_core.MatVector vertices) {
opencv_core.Mat mask = opencv_core.Mat.zeros(image.size(), opencv_core.CV_8U).asMat();
opencv_core.Scalar color = new opencv_core.Scalar(image.channels()); // 3
double[] colors = new double[] {
255.0, 255.0, 255.0, 255.0,
255.0, 255.0, 255.0, 255.0,
255.0, 255.0, 255.0, 255.0};
color.put(colors, 0, colors.length);
opencv_imgproc.fillPoly(mask, vertices, color);
opencv_core.Mat dst = new opencv_core.Mat();
opencv_core.bitwise_and(image, mask, dst);
return dst;
}
但是,它不工作。当我尝试在下面的示例中调用此方法,如:
opencv_core.MatVector points = new opencv_core.MatVector(
new opencv_core.Mat(2, 3, opencv_core.CV_32F, new IntPointer(1, 2, 3, 4, 5, 6))
);
opencv_core.MatVector vertices = new opencv_core.MatVector(points);
opencv_core.Mat masked = LaneManager.applyMask(src, vertices);
(我假设这是建立三个点的2x3矩阵,两个坐标每个(1,2)
,(3, 4)
和(5,6)
正道)
我得到一个异常:
java.lang.RuntimeException: std::bad_alloc
at org.bytedeco.javacpp.opencv_imgproc.fillPoly(Native Method)
我使用的OpenCV作为Maven的通过由中央提供org.bytedeco.javacpp-presets:opencv-platform:3.2.0-1.3
。
我必须承认我在这里感到茫然:与上面的Python函数做同样事情的惯用Java方法是什么?
我认为你在找什么是与这个其他stackoverflow帖子http:// stackoverflow。COM /问题/ 221830 /设置的BufferedImage-α-面具式的Java。希望这可以帮助。 –
你是如何初始化你发送到applyMask的src变量的? – Daedalus
一个可疑的事情是,你显然正在为12通道色彩分量的3通道图像定义颜色。这是不对的。 – Dave