建模相关功能的修改

doc/install.txt

@@ -2,7 +2,7 @@ pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
 pip config set install.trusted-host pypi.tuna.tsinghua.edu.cn
 
 python -m pip install --upgrade pip
-pip install oss2 redis pillow numpy opencv-python bpy tqdm pyautogui psutil pywin32 pymysql
+pip install oss2 redis pillow numpy opencv-python bpy tqdm pyautogui psutil pywin32 pymysql open3d scipy matplotlib
 
 
 config

libs/common.py

@@ -138,6 +138,27 @@ def change_rcbox_deepth(pid,new_value):
         with open(rcbox_path, 'w') as f:
             f.write(new_content)
 
+def change_rcbox_center(pid,new_value):
+    rcbox_path = os.path.join(config.workdir, pid, f"{pid}.rcbox")
+    old_value_pattern = r'<center>(.*?)</center>'
+    #读取文件内容
+    with open(rcbox_path, 'r') as f:
+        content = f.read()
+    #使用正则表达式进行匹配
+    match = re.search(old_value_pattern,content)
+    if match:
+        old_value = match.group(1)
+        if old_value == "":
+            return 
+        #分割字符串
+        arrStr = old_value.split(" ")
+        #重新拼接字符串
+        strs = arrStr[0]+" "+arrStr[1]+" "+str(new_value)
+        new_content = re.sub(old_value_pattern,f'<center>{strs}</center>',content)
+        #重新写入进去
+        with open(rcbox_path, 'w') as f:
+            f.write(new_content)
+
 #修改rcproj文件,删除没有模型的component,保留最多model 的component
 def changeRcprojFile(pid):
     # 解析XML文件
@@ -224,6 +245,12 @@ def uploadControlPointsOss(pid):
     
 #截屏保存
 def saveScreenImg(pid):
+    #判断pid 是否是数字
+    if str(pid).isdigit() == False:
+        return 
+
+    if pid == 0 or pid == "":
+        return "pid 等于空"
     #获取当前的日志
     if not os.path.exists(os.path.join(config.workdir,"screen", time.strftime("%y%m%d",time.localtime()))):
         os.makedirs(os.path.join(config.workdir,"screen", time.strftime("%y%m%d",time.localtime())))

libs/computerRecboxCenterByPoint.py

@@ -0,0 +1,86 @@
+import open3d as o3d
+import numpy as np
+import matplotlib.pyplot as plt
+import sys
+import statistics
+import math
+import copy
+import os,time
+from scipy.stats import mode
+from scipy.spatial import KDTree
+from scipy.spatial import cKDTree
+import matplotlib.font_manager as fm
+
+#处理点云文件保存脚踝一下的部分点云
+def dealPointData(pidPath,pidNewPath):
+    # 读取 PLY 文件
+    point_cloud = o3d.io.read_point_cloud(pidPath)
+    # 移除离散点
+    cl, ind = point_cloud.remove_statistical_outlier(nb_neighbors=20, std_ratio=0.06)
+    point_cloud = point_cloud.select_by_index(ind)
+    # 保存处理后的点云
+    o3d.io.write_point_cloud(pidNewPath, point_cloud)
+    data = np.loadtxt(pidNewPath)
+    # 提取xyz坐标
+    x = data[:, 0]
+    y = data[:, 1]
+    z = data[:, 2]
+    # 创建一个布尔索引，筛选出在x-y平面内，半径在0.5范围内的点 (z >= 0.00) &
+    mask = (z >=0) & (z <= 0.1) & (x**2 + y**2 <= 0.7**2)
+    # 根据索引，保留符合条件的点
+    filtered_data = data[mask]
+    # 将保留的点云数据保存到新的文件
+    np.savetxt(pidNewPath, filtered_data, delimiter=' ')
+
+
+#计算点云的数据中，脚底和地板的切线位置
+def boxCenter(pid):
+    pidPath = "D:\\xyz\\" + str(pid) + "_point.xyz"
+    pidNewPath = "D:\\xyz\\" + str(pid) + "_new.xyz"
+    dealPointData(pidPath,pidNewPath)
+    
+    pcd = o3d.io.read_point_cloud(pidNewPath)
+    allPoints = np.asarray(pcd.points)
+    if len(allPoints) == 0:
+        print("点云为空，无法计算均值。")
+        return 0
+    
+    # 使用RANSAC算法提取平面
+    plane_model, inliers = pcd.segment_plane(distance_threshold=0.00670, ransac_n=3, num_iterations=1000)
+    inlier_cloud = pcd.select_by_index(inliers)
+    # 获取被染成红色的点的坐标数组
+    red_points = inlier_cloud.points
+    red_points_np = np.asarray(red_points)
+    # 获取 red_points_np 的 z 值数组
+    z_red_values = red_points_np[:, 2]
+    # 计算中位数
+    medianRed = np.median(z_red_values)
+    # 计算中位数向上的平均数
+    meanRedUp = np.mean(z_red_values[z_red_values > medianRed])
+    #计算中位数向下的平均数
+    #meanRedDown = np.mean(z_red_values[z_red_values < medianRed])
+
+    # Exclude ground points from allPoints
+    foot_points_np = np.asarray([point for point in allPoints if point not in red_points_np])
+    if len(foot_points_np) == 0 :
+        print("脚部点云为空。")
+        return 0
+    #过滤掉地板，计算出脚底的点云数据
+    points_np_foot = foot_points_np[(foot_points_np[:, 2] < 0.046) & (foot_points_np[:, 2] > meanRedUp)]
+    # 计算平均值
+    mean = np.mean(points_np_foot[:, 2])
+
+    # 按照 Z 值进行排序
+    sorted_points = points_np_foot[np.argsort(points_np_foot[:, 2])]
+    # 获取 Z 值最低的前十个点
+    if len(sorted_points) == 0:
+        print("脚底板最低的点云为空")
+        return 0
+    try:
+        lowest_points = sorted_points[10:20]
+    except Exception as e:
+        print("获取脚底板最低的倒数第十到20的点出现异常错误")
+        return 0
+    # 计算平均值
+    meanLowEst = np.mean(lowest_points[:, 2]) + 1.05
+    return meanLowEst

main_step2.py

@@ -6,7 +6,7 @@ if platform.system() == 'Windows':
     #sys.path.append('libs')
 else:
     sys.path.append('/data/deploy/make3d/make2/libs/')
-import config, libs, libs_db,common,main_service_db
+import config, libs, libs_db,common,main_service_db,computerRecboxCenterByPoint
 redisLocal = config.redis_local
 def load_model(pid):
     cmd = f'{config.rcbin} {config.r1["init"]} -load "{os.path.join(config.workdir, pid, f"{pid}.rcproj")}"'
@@ -117,8 +117,33 @@ def make3d(pid):
         else:
             calulate_type = '-mvs'
 
-        
+        #翻转相机的线向下
         cmd = f'{config.rcbin} -load "{os.path.join(config.workdir, pid, f"{pid}.rcproj")}" {cmdSmall} \
+            -set "sfmEnableCameraPrior=True" -align -set "sfmEnableCameraPrior=False" -align -save "{os.path.join(config.workdir, pid, f"{pid}_point.rcproj")}" '
+        cmd = shlex.split(cmd)
+        res = subprocess.run(cmd)
+        #执行完成后命令会触发导出点云的定时程序
+        while True:
+            print("判断是否导出点云文件循环阻塞开始")
+            time.sleep(3)
+            #判断是否有 pid_1 的的值
+            print(pid+"_3")
+            if redisLocal.lpos('model:auto_distance',pid+"_3") == None:
+                continue
+            shutil.move(os.path.join(config.workdir, pid, f'{pid}_point.rcproj'), os.path.join(config.workdir, pid, f'{pid}.rcproj'))
+            print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 导出点云文件完成')
+            #最后处理掉redis中的值
+            redisLocal.lrem('model:auto_distance', 0, pid+"_3")
+            break
+
+        #处理点云文件
+        centerRcboxValue = computerRecboxCenterByPoint.boxCenter(pid)
+        if centerRcboxValue > 0:
+            print("修改中心点的坐标",centerRcboxValue)
+            #修改中心点的值
+            common.change_rcbox_center(pid,centerRcboxValue)
+
+        cmd = f'{config.rcbin} -load "{os.path.join(config.workdir, pid, f"{pid}.rcproj")}" -align \
             -set "sfmEnableCameraPrior=True" -align -set "sfmEnableCameraPrior=False" -align -setReconstructionRegion "{os.path.join(config.workdir, pid, f"{pid}.rcbox")}" \
             {calulate_type} -modelSelectMaximalConnectedComponent -modelInvertSelection -modelRemoveSelectedTriangles -closeHoles -clean -simplify {simplify_value} -smooth -unwrap -calculateTexture -renameModel {pid} -save "{os.path.join(config.workdir, pid, f"{pid}.rcproj")}" -quit'
         print(cmd)

timer/get_task_to_db.py

@@ -43,7 +43,10 @@ def readTask(key):
         print("走新的建模系统不是分布式插入-重建工单",key,pid,psid)
         libs_db.add_task(taskData)
     else:
-        if int(psid) <= 90 and int(psid) != 29 and int(psid) != 56:
+        intPid = int(psid)
+        if intPid == 29 or intPid == 94 or intPid == 51:
+            libs_db.add_task(taskData)
+        elif int(psid) <= 90 and int(psid) != 29 and int(psid) != 56 and int(psid) != 1:
             print("走分布式建模",key,pid,psid)
             if int(psid) == 41 or int(psid) == 85:
                 taskData["priority"] = 0

timer/setup_oem_exe.py

@@ -0,0 +1,76 @@
+
+import redis,requests,json,os,sys
+
+import platform
+if platform.system() == 'Windows':
+    sys.path.append('e:\\libs\\')
+else:
+    sys.path.append('/data/deploy/make3d/make2/libs/')
+import config
+
+import requests
+from PIL import Image
+from io import BytesIO
+
+def main():
+    #连接mp 的redis
+    r = redis.Redis(host="106.14.158.208",password="kcV2000",port=6379,db=1)
+    #取出数据
+    oemId = r.lpop('setup')
+    oemId = 21
+    if oemId is None:
+        print("没有从redis中获取到oemId的数据")
+        return
+    print("oemId",oemId)
+    #请求mp的接口,获取对应的oem的数据
+    res = requests.get("http://172.16.20.7:8199/api/oem/infoById",params={"id":oemId})
+    #获取数据解析数据
+    # print(res.text)
+    #解析数据
+    data = json.loads(res.text)
+    # print(data)
+    if data['code'] != 1000:
+        print("根据id获取oem数据失败")
+        return
+    print(data['data'])
+
+    #pythob 进入到 E:\wails\oemProject ，将 data 数据写入到 wails.json 文件中的 ext_oem 字段中
+    with open("D:\\oemProject\\wails.json","r",encoding="utf-8") as f:
+        wailsData = json.load(f)
+        wailsData['ext_oem'] = data['data']
+        wailsData['name'] = data['data']['brand_name']
+        wailsData["outputfilename"] = str(data['data']['id'])
+    with open("D:\\oemProject\\wails.json","w",encoding="utf-8") as f:
+        json.dump(wailsData,f,ensure_ascii=False,indent=4)
+    
+    # #将图片下载到本地
+    getExeImg(data['data']['logo'], "D:\\oemProject\\build\\appicon.png")
+
+
+    
+    #写入成功后在 E:\\wails\\oemProject\\ 目录下执行 wails build 命令
+    os.system("cd D:\\oemProject && wails build")
+   
+    # #执行 wails build 命令后，将 E:\wails\oemProject\build\bin ，在上传到 oss 中
+    config.oss_bucket.put_object_from_file(f'exe/'+str(data['data']['id'])+".exe", "D:\\oemProject\\build\\bin\\"+str(data['data']['id'])+".exe")
+    print("上传成功")
+    # #上传成功后，调用接口，告诉mp，已经生成exe及上传成功
+    requests.get("http://172.16.20.7:8199/api/oem/infoSetupUpdate",params={"id":oemId})
+
+
+def getExeImg(image_url, output_path):
+    # 从URL获取图片
+    response = requests.get(image_url)
+    if response.status_code == 200:
+        # 将内容读取为图片
+        image = Image.open(BytesIO(response.content))
+        # 修改图片尺寸为1024x1024
+        resized_image = image.resize((1024, 1024))
+        # 保存图片为PNG格式
+        resized_image.save(output_path, 'PNG')
+    else:
+        print(f"Failed to download image. Status code: {response.status_code}")
+
+
+if __name__ == '__main__':
+    main()

tools/auto_distance.py

@@ -28,11 +28,18 @@ def find_and_maximize_window(window_title):
                 pid = win32gui.GetWindowText(hwnd).split('screen')[0].split(' ')[0].split('-')[0].split('*')[0].split('_')[0]
                 time.sleep(3)
                 #截屏
-                if pid != "":
+                if pid.isdigit():
                     common.saveScreenImg(pid)
                     time.sleep(3)
                     ag.hotkey('alt', 'f4')
             
+            if "point" in win32gui.GetWindowText(hwnd):
+                pid = win32gui.GetWindowText(hwnd).split('screen')[0].split(' ')[0].split('-')[0].split('*')[0].split('_')[0]
+                time.sleep(5)
+                if pid != "":
+                    print("开始导出导出点云文件")
+                    exportPointColud(pid)
+
     return '0', 0, 0, 0, 0
 
 # def get_defineDistances(pid, left, top, right, bottom):
@@ -59,6 +66,53 @@ def find_and_maximize_window(window_title):
 #         ag.typewrite(distance)
 #         ag.press('enter')
 
+#导出点云文件数据
+def exportPointColud(pid):
+    #移动到alignment
+    ag.moveTo(177,33)
+    ag.click()
+    time.sleep(0.5)
+    #移动到Point cloud
+    ag.moveTo(850,85)
+    ag.click()
+    time.sleep(0.5)
+    #移动到弹出的框中的路径中，重写
+    ag.moveTo(739,186)
+    ag.click()
+    repeat_backspace(18)
+    time.sleep(0.5)
+    ag.typewrite("D:\\xyz")
+    ag.press('enter')
+    #输入文件的名称
+    time.sleep(0.5)
+    ag.moveTo(594,571)
+    ag.click()
+    repeat_backspace(15)
+    time.sleep(0.5)
+    ag.typewrite(str(pid)+"_point")
+    #保存按钮1
+    time.sleep(0.5)
+    ag.moveTo(1104,635)
+    ag.click()
+    time.sleep(0.5)
+    #保存按钮2
+    ag.moveTo(797,512)
+    ag.click()
+    time.sleep(2)
+    print("结束导出导出点云文件")
+    #退出
+    ag.hotkey('ctrl', 's') # save project
+    print("点击保存按钮")
+    time.sleep(5)
+    ag.hotkey('alt', 'f4') # close project
+    print("点击关闭按钮")
+
+    #加入pid+"_1"的队列
+    redisLocal.lpush('model:auto_distance', pid+"_3")
+    #去掉pid+"_0"的队列
+    redisLocal.lrem('model:auto_distance', 0, pid+"_1")
+
+
 def get_defineDistances(pid, left, top, right, bottom):
     psid = libs.getPSid(pid)
     distances = libs_db.get_floor_sticker_distances(psid) #config.ps_floor_sticker.get(psid, config.ps_floor_sticker['default'])
@@ -149,7 +203,9 @@ def defind_distance(pid, left, top, right, bottom):
     time.sleep(5)
 
 def main():
-    
+    # time.sleep(6)
+    # exportPointColud()
+    # exit()
     while True:
         time.sleep(1)
         title = "wait"