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208 lines
11 KiB
208 lines
11 KiB
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 platform |
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if platform.system() == 'Windows': |
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sys.path.append('e:\\libs\\') |
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else: |
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sys.path.append('/data/deploy/make3d/make2/libs/') |
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import config, libs, libs_db |
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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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libs.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{libs.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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add_photo3 = ' ' |
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if os.path.exists(os.path.join(config.workdir, pid, 'photo3')): |
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add_photo3 = ' -addFolder "' + os.path.join(config.workdir, pid, 'photo3') + '" ' |
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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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{add_photo3} -align -selectAllImages \ |
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-detectMarkers "D:\\make2\\config\\detectMarkers.config.xml" \ |
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{libs.get_defineDistances(config.ps_floor_sticker.get(psid, config.ps_floor_sticker["default"]))} -align -align -update {config.r2["setRegion"]} \ |
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-exportXMP "D:\\make2\\config\\exportXMP.config.xml" \ |
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-exportControlPointsMeasurements "{os.path.join(config.workdir, pid, f"{pid}.controlPoints.csv")}" "D:\\make2\\config\\exportControlPoints.config.xml" \ |
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-exportReconstructionRegion "{os.path.join(config.workdir, pid, f"{pid}.rcbox")}" \ |
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-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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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{libs.diff_time(start_time)}') |
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if os.path.exists(os.path.join(config.workdir, pid, 'photo3')): |
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for filename in os.listdir(os.path.join(config.workdir, pid, 'photo2')): |
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if filename.endswith('_8.xmp'): |
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# photo3 exist, 设置photo2的xmp文件，不参与贴图 |
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libs.set_photo_join_type(config.workdir, pid, 'photo2', filename.split('_')[0], mesh='1', texture='0') |
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def cal_reconstruction_region(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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add_photo3 = ' ' |
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if os.path.exists(os.path.join(config.workdir, pid, 'photo3')): |
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add_photo3 = ' -addFolder "' + os.path.join(config.workdir, pid, 'photo3') + '" ' |
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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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-addFolder "{os.path.join(config.workdir, pid, "photo2")}" -align {add_photo3} \ |
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-detectMarkers "D:\\make2\\config\\detectMarkers.config.xml" {libs.get_defineDistances(config.ps_floor_sticker.get(psid, config.ps_floor_sticker["default"]))} -align -align \ |
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-update {config.r2["setRegion"]} \ |
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-exportControlPointsMeasurements "{os.path.join(config.workdir, pid, f"{pid}.controlPoints.csv")}" "D:\\make2\\config\\exportControlPoints.config.xml" \ |
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-selectAllImages -exportXMP "D:\\make2\\config\\exportXMP.config.xml" \ |
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-exportReconstructionRegion "{os.path.join(config.workdir, pid, f"{pid}.rcbox")}" \ |
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-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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fix_region() |
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 重建区域计算完成') |
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def step1(pid, experience=False, makeloop=True): |
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libs_db.start_task({"task_type": "make", "task_key": pid}) |
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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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psid = libs.getPSid(pid) |
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# 更新云端任务状态 |
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res = requests.post(config.urls['update_status_modeling_url'], data={'id': pid}) |
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print('更新建模中状态：', res.text) |
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# 下载图片 |
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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} 开始下载图片...') |
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if experience: |
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libs.down_from_oss(config.oss_bucket, config.workdir, pid, per=50) |
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else: |
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libs.down_from_oss(config.oss_bucket, config.workdir, pid) |
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os.system(f'python tools/downxmps.py {pid}') |
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} {pid} 图片下载完成，共费时{libs.diff_time(start_time)}') |
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start_time = time.time() |
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# TODO: 上报图片采集数量，更新影棚相机状态 |
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# 处理图片，如果experience=True，将图片缩减一半，已节省建模时间和算力成本 |
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# if experience: |
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# libs.resize_photos(os.path.join(config.workdir, pid, 'photo1')) |
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# libs.resize_photos(os.path.join(config.workdir, pid, 'photo2')) |
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# 根据配置调整photo2曝光，均衡贴图亮度，可能产生photo3 |
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libs.adjust_photos(config.workdir, pid) |
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# TODO: 检测模糊异常图片，上报微信通知 |
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# TODO: 处理图片，去反光算法 |
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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(psid, 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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if not makeloop: |
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filter_dark_texture_image(pid) |
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# 处理图片，暗部提亮，提高贴图效果 |
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# TODO: 处理图片，去遮挡处理，提高建模与贴图质量 |
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# 加入photo2，计算重建区域，导出重建区域与相机位姿配置信息 |
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# cal_reconstruction_region(psid, 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{libs.diff_time(start_time)}') |
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# TODO: 更新本地step1任务状态，加入step2任务队列 |
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if makeloop: |
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os.system(f'python main_step2.py {pid}') |
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else: |
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os.system(f'python main_step2.py {pid}') |
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# if os.path.exists(os.path.join(config.sharedir, pid)): |
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# shutil.rmtree(os.path.join(config.sharedir, pid), ignore_errors=True) |
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# shutil.move(os.path.join(config.workdir, pid), config.sharedir) |
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# print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} {pid} step1任务完成，移动到共享目录') |
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def main(pid, experience=False, makeloop=True): |
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if pid == '0': |
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 开始进入本地任务值守模式...') |
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while True: |
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# 取云端redis多个key任务，TODO:后续要改为api调用 |
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experience = False |
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pid = libs_db.get_task('make_experience') |
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if pid == '': |
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time.sleep(3) |
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pid = libs_db.get_task('make') |
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if pid == '': |
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time.sleep(3) |
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continue |
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else: |
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experience = True |
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step1(pid, experience, makeloop) |
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else: |
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step1(pid, experience, makeloop) |
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if __name__ == '__main__': |
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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) == 2: |
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pids = sys.argv[1].split(',') |
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for pid in pids: |
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main(pid, experience=False, makeloop=False) |
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exit() |
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if len(sys.argv) == 3: |
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experience = False |
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if sys.argv[2] == '1': |
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print('演示测试...') |
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experience = True |
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pids = sys.argv[1].split(',') |
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for pid in pids: |
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main(pid, experience=experience, makeloop=False) |
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exit() |
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main(pid, experience=False, makeloop=True) |