Android Path类中有直接能判断坐标点是不是在Path内的吗

Posted 2023-04-28

参考技术A 　　下面的代码描述了一个套索类，该类可以判断一个点是否在用户手指所画的一个套索区域中：

　　/**
　　* a polygon represents a lasso.
　　*
　　* @author snow
　　*
　　*/
　　public class Lasso
　　// polygon coordinates
　　private float[] mPolyX, mPolyY;

　　// number of size in polygon
　　private int mPolySize;

　　/**
　　* default constructor
　　*
　　* @param px
　　* polygon coordinates X
　　* @param py
　　* polygon coordinates Y
　　* @param ps
　　* polygon sides count
　　*/
　　public Lasso(float[] px, float[] py, int ps)
　　this.mPolyX = px;
　　this.mPolyY = py;
　　this.mPolySize = ps;
　　

　　/**
　　* constructor
　　*
　　* @param pointFs
　　* points list of the lasso
　　*/
　　public Lasso(List<PointF> pointFs)
　　this.mPolySize = pointFs.size();
　　this.mPolyX = new float[this.mPolySize];
　　this.mPolyY = new float[this.mPolySize];

　　for (int i = 0; i < this.mPolySize; i++)
　　this.mPolyX[i] = pointFs.get(i).x;
　　this.mPolyY[i] = pointFs.get(i).y;
　　
　　Log.d("lasso", "lasso size:" + mPolySize);
　　

　　/**
　　* check if this polygon contains the point.
　　*
　　* @param x
　　* point coordinate X
　　* @param y
　　* point coordinate Y
　　* @return point is in polygon flag
　　*/
　　public boolean contains(float x, float y)
　　boolean result = false;
　　for (int i = 0, j = mPolySize - 1; i < mPolySize; j = i++)
　　if ((mPolyY[i] < y && mPolyY[j] >= y)
　　|| (mPolyY[j] < y && mPolyY[i] >= y))
　　if (mPolyX[i] + (y - mPolyY[i]) / (mPolyY[j] - mPolyY[i])
　　* (mPolyX[j] - mPolyX[i]) < x)
　　result = !result;
　　
　　
　　
　　return result;
　　
　　
　　当用户手指在屏幕上划动时，可以保存手指划过的点用来实例化Lasso类，也可以在用户手指抬起后通过PathMeasure类来对封闭的Path对象取点，然后实例化Lasso类。

　　Lasso类中的contains方法即是判断点是否在多边形内本回答被提问者和网友采纳 参考技术B 不能。
欢迎采纳 参考技术C RectF rectF = new RectF();
path.computeBounds(rectF, true);
Region region = new Region();
region.setPath(path, new Region((int) rectF.left, (int) rectF.top, (int) rectF.right, (int) rectF.bottom));
if (region.contains((int) rawX, (int) rawY))
result = true;

ctd数据格式转普通坐标点

ctd_label2pt.py

import numpy as np

import cv2
import random

import os


def get_absolute_path(p):
    if p.startswith('~'):
        p = os.path.expanduser(p)
    return os.path.abspath(p)

def read_lines(p):
    """return the text in a file in lines as a list """
    p = get_absolute_path(p)
    f = open(p,'r')
    return f.readlines()

def replace_all(s, old, new, reg = False):
    if reg:
        import re
        targets = re.findall(old, s)
        for t in targets:
            s = s.replace(t, new)
    else:
        s = s.replace(old, new)
    return s

def remove_all(s, sub):
    return replace_all(s, sub, '')

def split(s, splitter, reg = False):
    if not reg:
        return s.split(splitter)
    import re
    return re.split(splitter, s)

def get_bboxes(img, gt_path, save_path):
    h, w = img.shape[0:2]
    lines = read_lines(gt_path)
    bboxes = []
    tags = []
    for line in lines:
        line = line.strip()
        line = remove_all(line, '\xef\xbb\xbf')
        gt = split(line, ',')

        x1 = np.int(gt[0])
        y1 = np.int(gt[1])

        bbox = [np.int(gt[i]) for i in range(4, 32)]
        bbox = np.asarray(bbox) + ([x1 * 1.0, y1 * 1.0] * 14)
        with open(save_path,'a') as fw:
            for cnt,val in enumerate(bbox):
                val = int(val)
                if cnt != len(bbox)-1:
                    fw.write(str(val))
                    fw.write(",")
                else:
                    fw.write(str(val))
                    fw.write('\n')


# def get_bboxes(img, gt_path, save_path):
#     h, w = img.shape[0:2]
#     lines = util.io.read_lines(gt_path)
#     bboxes = []
#     tags = []
#     for line in lines:
#         line = line.strip()
#         line = util.str.remove_all(line, '\xef\xbb\xbf')
#         gt = util.str.split(line, ',')
#
#         x1 = np.int(gt[0])
#         y1 = np.int(gt[1])
#
#         bbox = [np.int(gt[i]) for i in range(4, 32)]
#         bbox = np.asarray(bbox) + ([x1 * 1.0, y1 * 1.0] * 14)
#         with open(save_path,'a') as fw:
#             for cnt,val in enumerate(bbox):
#                 val = int(val)
#                 if cnt != len(bbox)-1:
#                     fw.write(str(val))
#                     fw.write(",")
#                 else:
#                     fw.write(str(val))
#                     fw.write('\n')


path_text_image = "/media/data_1/2019_project_test/PSENet/data/CTW1500/train/text_image/"
path_text_label_curve = "/media/data_1/2019_project_test/PSENet/data/CTW1500/train/text_label_curve/"
path_save_txt = os.path.dirname(os.path.dirname(path_text_image)) + '/ctd2general/'
if not os.path.exists(path_save_txt):
    os.makedirs(path_save_txt)

list_img = os.listdir(path_text_image)
cnt = 0
for img_name in list_img:
    cnt += 1
    print("cnt=%d,img=%s"%(cnt,img_name))
    img_path = path_text_image + img_name
    img = cv2.imread(img_path)
    txt_path = path_text_label_curve + img_name.replace('.jpg','.txt')
    txt_save = path_save_txt + img_name.replace('.jpg','.txt')
    get_bboxes(img, txt_path, txt_save)