roi.py

import cv2
import numpy as np
import joblib

pts = []  # 建立空的列表，用于存放点坐标

def draw_roi(event, x, y, flags, param):
    img2 = img.copy()

    if event == cv2.EVENT_LBUTTONDOWN:  # 左键点击，选择点
        pts.append((x, y))
    if event == cv2.EVENT_RBUTTONDOWN:  # 右键点击，取消最近一次选择的点
        pts.pop()
    if event == cv2.EVENT_MBUTTONDOWN:  # 中键绘制轮廓
        mask = np.zeros(img.shape, np.uint8)
        points = np.array(pts, np.int32)
        points = points.reshape((-1, 1, 2))

        # 画多边形
        mask = cv2.polylines(mask, [points], True, (255, 255, 255), 2)
        mask2 = cv2.fillPoly(mask.copy(), [points], (255, 255, 255))  # 用于求 ROI
        mask3 = cv2.fillPoly(mask.copy(), [points], (0, 255, 0))      # 用于 显示在桌面的图像
        show_image = cv2.addWeighted(src1=img, alpha=0.8, src2=mask3, beta=0.2, gamma=0)
        cv2.imshow("mask", mask2)
        cv2.imshow("show_img", show_image)
        ROI = cv2.bitwise_and(mask2, img)
        cv2.imshow("ROI", ROI)
        cv2.waitKey(0)

    if len(pts) > 0:
        # 将pts中的最后一点画出来
        cv2.circle(img2, pts[-1], 3, (0, 0, 255), -1)
    if len(pts) > 1:
        # 画线
        for i in range(len(pts) - 1):
            cv2.circle(img2, pts[i], 5, (0, 0, 255), -1)  # x ,y 为鼠标点击地方的坐标
            cv2.line(img=img2, pt1=pts[i], pt2=pts[i + 1], color=(255, 0, 0), thickness=2)
    cv2.imshow('image', img2)

# 创建图像与窗口并将窗口与回调函数绑定
path=r"E:\yolov4-deepsort-master\data\video\4.png" #修改路径

#为了使ROI与实际的点的坐标一致，需要将图片resize成目标大小，这里我是在视频中画ROI，所以为了匹配大小重新改了图片大小
img_org = cv2.imread(path)
print('img_org.size:',img_org.shape)
img=cv2.resize(img_org,(1920,1080))
print('img.size:',img.shape)

cv2.namedWindow('image')
cv2.setMouseCallback('image', draw_roi)
print("[INFO] 单击左键：选择点，单击右键：删除上一次选择的点，单击中键：确定ROI区域")
print("[INFO] 按‘S’确定选择区域并保存")
print("[INFO] 按 ESC 退出")

#退出与保存
while True:
    key = cv2.waitKey(1) & 0xFF
    if key == 27:
        break
    if key == ord("s"):
        saved_data = {"ROI": pts}
        joblib.dump(value=saved_data, filename="config.pkl")
        print("[INFO] ROI坐标已保存到本地.")
        break
cv2.destroyAllWindows()

#加载保存好的坐标
def Load_Model(filepath):
    img = cv2.imread(path)
    model = joblib.load(filepath)
    print(type(model))
    print(model)
    return model
Load_Model('config.pkl')