233 lines
11 KiB
Python
233 lines
11 KiB
Python
import os, sys, time, shlex, subprocess, shutil, requests, cv2, numpy as np
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from PIL import Image
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import json
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with open('config.json', 'r') as f:
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config = json.load(f)
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def set_photo_join_type(workdir, pid, photoN, camera_id, mesh = '0', texture='0'):
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if photoN == 'photo1':
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filename = os.path.join(workdir, pid, photoN, f'{camera_id}_1.xmp')
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else:
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filename = os.path.join(workdir, pid, photoN, f'{camera_id}_8.xmp')
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with open(filename, 'r') as f:
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lines = f.readlines()
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lines = [line.replace('xcr:InMeshing="0"', f'xcr:InMeshing="{mesh}"') for line in lines]
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lines = [line.replace('xcr:InMeshing="1"', f'xcr:InMeshing="{mesh}"') for line in lines]
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lines = [line.replace('xcr:InTexturing="0"', f'xcr:InTexturing="{texture}"') for line in lines]
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lines = [line.replace('xcr:InTexturing="1"', f'xcr:InTexturing="{texture}"') for line in lines]
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with open(filename, 'w') as f:
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f.writelines(lines)
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def diff_time(start_time):
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# 按照分:秒的方式返回时间差
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end_time = time.time()
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diff = end_time - start_time
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m, s = divmod(diff, 60)
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return f'{int(m)}分{int(s)}秒'
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def filter_dark_texture_image(pid):
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start_time = time.time()
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始检测射灯异常图片...')
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def get_image_v(image):
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# 图片左上角和右上角各取200*200区域，计算V通道均值
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left_rect = image[0:200, 0:200]
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right_rect = image[0:200, -200:]
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left_hsv = cv2.cvtColor(left_rect, cv2.COLOR_BGR2HSV)
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left_v = left_hsv[:, :, 2]
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left_avg_v = np.mean(left_v)
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# print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 图片左上角V通道均值：{left_avg_v}')
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right_hsv = cv2.cvtColor(right_rect, cv2.COLOR_BGR2HSV)
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right_v = right_hsv[:, :, 2]
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right_avg_v = np.mean(right_v)
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# print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 图片右上角V通道均值：{right_avg_v}')
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return (left_avg_v + right_avg_v) / 2
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v_list = []
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for filename in os.listdir(os.path.join(config['workdir'], pid, 'photo2')):
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if filename.endswith(".jpg"):
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image = cv2.imread(os.path.join(config['workdir'], pid, 'photo2', filename))
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v = get_image_v(image)
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item = {'filename': filename, 'v': v}
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v_list.append(item)
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v_list.sort(key=lambda x: x['v'])
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v_list = v_list[5: -5]
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avg_v = np.mean([item['v'] for item in v_list])
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for item in v_list:
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if abs(item['v'] - avg_v) > 50:
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 图片{item["filename"]} V通道值{item["v"]}，低于平均值{avg_v}，将不参与贴图')
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set_photo_join_type(config['workdir'], pid, 'photo2', item['filename'].split('_')[0], mesh='1', texture='0')
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# 复制xmp文件到photo3目录，如果photo3目录存在的话
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if os.path.exists(os.path.join(config['workdir'], pid, 'photo3')):
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shutil.copyfile(os.path.join(config['workdir'], pid, 'photo2', item['filename'].replace('jpg', 'xmp')), os.path.join(config['workdir'], pid, 'photo3', item['filename'].replace('jpg', 'xmp')))
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 射灯异常图片检测完成，共费时{diff_time(start_time)}')
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def detect_markers(psid, pid):
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def fix_region():
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region_filename = os.path.join(config['workdir'], pid, f'{pid}.rcbox')
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with open(region_filename, 'r') as f:
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lines = f.readlines()
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lines = [line.replace('"NONE" globalCoordinateSystemWkt="NONE" globalCoordinateSystemName="NONE"', '"+proj=geocent +ellps=WGS84 +no_defs" globalCoordinateSystemName="local:1 - Euclidean"') for line in lines]
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start_time = time.time()
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textpicCmd ='-selectImage "'+os.path.join(config['workdir'],pid,'photo2')+'\*" -enableTexturingAndColoring true'
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#获取当前的工作目录
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dirCurr = os.getcwd()
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cmd = f'{config["rcbin"]} {config["r2"]["init"]} -setInstanceName {pid} \
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-save "{os.path.join(config["workdir"], pid, f"{pid}.rcproj")}" \
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-addFolder "{os.path.join(config["workdir"], pid, "photo1")}" {config["r"]["setTextureFalse"]} -align -addFolder "{os.path.join(config["workdir"], pid, "photo2")}" \
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-align -selectAllImages \
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-detectMarkers "{dirCurr}\detectMarkers.config.xml" \
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-defineDistance 36h11:001 36h11:002 1 -defineDistance 36h11:002 36h11:004 1 -defineDistance 36h11:004 36h11:003 1 -defineDistance 36h11:003 36h11:001 1 -align -align -update {config["r2"]["setRegion"]} \
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-exportXMP "{dirCurr}\exportXMP.config.xml" \
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-exportControlPointsMeasurements "{os.path.join(config["workdir"], pid, f"{pid}.controlPoints.csv")}" "{dirCurr}\exportControlPoints.config.xml" \
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-exportReconstructionRegion "{os.path.join(config["workdir"], pid, f"{pid}.rcbox")}" \
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{textpicCmd} -save "{os.path.join(config["workdir"], pid, f"{pid}.rcproj")}" -quit'
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print(cmd)
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cmd = shlex.split(cmd)
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res = subprocess.run(cmd)
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time.sleep(3)
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fix_region()
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 定位点检测完成, 共费时{diff_time(start_time)}')
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def step1(pid,headsCount):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 开始处理{pid}建模任务')
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start_time = time.time()
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# 检测图片定位点，定位异常及时上报微信通知给客服人员，人工判断是否需要重新拍摄或更换地贴。定义定位点距离，导出相机位姿信息
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detect_markers(0, pid)
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# 处理图片，检测photo2中的异常图片不参与贴图，以免破坏贴图效果，默认不检测射灯异常图片，以节省算力成本
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filter_dark_texture_image(pid)
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} {pid} step1图片预处理完成，共费时{diff_time(start_time)}')
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# os.system(f'python {os.getcwd()}/main_step2.py {pid}')
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step2(pid,headsCount)
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def step2(pid,headsCount):
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dirCurr = os.getcwd()
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simplify_value = 1000000 * int(headsCount)
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calulate_type = 'calculateNormalModel'
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cmd = f'{config["rcbin"]} {config["r2"]["init"]} -setInstanceName {pid} \
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-load "{os.path.join(config["workdir"], pid, f"{pid}.rcproj")}" \
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-{calulate_type} \
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-selectLargestModelComponent -invertTrianglesSelection -removeSelectedTriangles -simplify {simplify_value} -smooth -closeHoles -cleanModel -calculateTexture \
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-save "{os.path.join(config["workdir"], pid, f"{pid}.rcproj")}" \
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-exportSelectedModel "{os.path.join(config["workdir"], pid, "output", f"{pid}.obj")}" "{dirCurr}\\ModelExportParams.xml" -quit'
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print(cmd)
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cmd = shlex.split(cmd)
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res = subprocess.run(cmd)
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#阻塞判断是否导出完成
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while True:
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#判断 output 目录下是否存在 三个文件
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files = os.listdir(os.path.join(config['workdir'], pid, "output"))
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if len(files) >= 3:
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break
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#将导出的文件移动到指定目录
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sourceDir = config["local_complate_build"]
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#判断目录是否存在，不存在就创建
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if not os.path.exists(sourceDir):
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os.makedirs(sourceDir)
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#将 output 目录里的文件移动到指定目录
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shutil.move(os.path.join(config['workdir'], pid, "output"),os.path.join(sourceDir,pid))
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#发起请求告知后端建模完成
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try:
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res = requests.post(url, data={'id': pid,'status':5000})
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid:{pid} 任务完成- {res.text}')
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except Exception as e:
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid:{pid} - 建模完成状态变更失败 - {e}')
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def main(pid,headsCount):
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step1(pid, headsCount)
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if __name__ == '__main__':
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try:
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url = config['urls']['update_status_modelsuccess_url']
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if url == "":
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 请配置建模完成回调地址')
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exit()
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# 取云端redis任务，完成第一步的数据预处理后，将数据放入共享存储目录，将第二步任务塞入本地mysql队列
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# 默认循环值守，可传参数运行单一任务，以方便调试
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pid = '0'
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if len(sys.argv) == 3:
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pids = sys.argv[1].split(',')
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headsCount = sys.argv[2]
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for pid in pids:
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main(pid,headsCount)
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exit()
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#获取文件夹下的所有文件
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needBuildDir = config['local_need_build']
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workdir = config['workdir']
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if workdir == '':
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 请配置建模工作目录')
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exit()
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#不存在就创建工作目录
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if not os.path.exists(workdir):
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os.makedirs(workdir)
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if not os.path.exists(needBuildDir):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 需要建模目录不存在- {needBuildDir}')
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exit()
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except Exception as e:
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 初始化异常 - {e}')
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#遍历文件夹下的所有文件进行处理
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try:
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while True:
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time.sleep(5)
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 建模任务循环开始')
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for pid in os.listdir(needBuildDir):
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if not os.path.isdir(os.path.join(needBuildDir,pid)):
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continue
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#判断是否存在 canDo.txt 文件，如果不存在就跳过
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if not os.path.exists(os.path.join(needBuildDir,pid,"canDo.txt")):
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continue
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#读取 canDo.txt 文件内容
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headsCounts = 1
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with open(os.path.join(needBuildDir,pid,"canDo.txt"),"r") as f:
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headsCounts = f.read()
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#判断文件夹里是否存在 do.txt , 如果存在就跳过，不存在就创建
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if os.path.exists(os.path.join(needBuildDir,pid,"do.txt")):
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continue
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else:
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with open(os.path.join(needBuildDir,pid,"do.txt"),"w") as f:
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f.write("1")
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#判断是否已经存在了，存在就删除
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if os.path.exists(os.path.join(workdir,pid)):
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shutil.rmtree(os.path.join(workdir,pid))
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#将文件夹移动到工作目录
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shutil.move(os.path.join(needBuildDir,pid),os.path.join(workdir,pid))
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#执行建模流程,建模中的流程
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try:
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requests.post(url, data={'id': pid,'status':4000})
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except Exception as e:
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid:{pid} - 状态变更失败 - {e}')
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#continue
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main(pid,headsCounts)
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except Exception as e:
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 建模任务循环异常 - {e}')
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exit()
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