381 lines
14 KiB
Python
381 lines
14 KiB
Python
import os, time, json, requests, shutil, oss2, psutil
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from tqdm import tqdm
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from PIL import Image, ImageEnhance
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import config,libs_db,common
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import threading
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from concurrent.futures import ThreadPoolExecutor
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def find_blender_bin_path():
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base_path = 'C:\\Program Files\\Blender Foundation\\'
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if os.path.exists(base_path):
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for dir in os.listdir(base_path):
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if dir.startswith('Blender'):
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blender_bin_path = base_path + dir + '\\blender.exe'
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return f'"{blender_bin_path}"'
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else:
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print('未找到blender安装目录')
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exit(1)
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def resize_photos(photo_path, ratio=0.5):
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for filename in os.listdir(photo_path):
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if filename.endswith('.jpg'):
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img = Image.open(os.path.join(photo_path, filename))
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img = rotate_image(img)
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w, h = img.size
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img = img.resize((int(w * ratio), int(h * ratio)))
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img.save(os.path.join(photo_path, filename))
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def rotate_image(image):
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# 检查图像的EXIF数据是否包含方向信息
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try:
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exif = image._getexif()
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orientation = exif.get(0x0112)
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except:
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orientation = None
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# 根据方向信息旋转图像
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if orientation == 3:
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image = image.rotate(180, expand=True)
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elif orientation == 6:
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image = image.rotate(270, expand=True)
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elif orientation == 8:
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image = image.rotate(90, expand=True)
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return image
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def get_ps_adjust_photo_para(psid):
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res = requests.get(config.urls['get_ps_adjust_photo_para_url'], params={'id': psid})
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print(res.json())
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paras = res.json()['data']
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brightness_factor, saturation_factor, temperature_factor = float(paras['brightness']), float(paras['saturation']), float(paras['colorTemperature'])
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return brightness_factor, saturation_factor, temperature_factor
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def adjust_photos(workdir, pid):
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def adjust_brightness(image, brightness_factor):
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if brightness_factor == 1 or brightness_factor == 0 :
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return image
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enhancer = ImageEnhance.Brightness(image)
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adjusted_image = enhancer.enhance(brightness_factor)
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return adjusted_image
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def adjust_saturation(image, saturation_factor):
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if saturation_factor == 1:
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return image
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enhancer = ImageEnhance.Color(image)
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adjusted_image = enhancer.enhance(saturation_factor)
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return adjusted_image
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def adjust_temperature(image, temperature_factor):
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if temperature_factor == 1:
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return image
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r, g, b = image.split()
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r = r.point(lambda i: i * temperature_factor)
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adjusted_image = Image.merge("RGB", (r, g, b))
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return adjusted_image
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if not os.path.exists(os.path.join(workdir, pid, 'photo2')):
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print(f"Directory {os.path.join(workdir, pid, 'photo2')} does not exist")
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return False
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psid = getPSid(pid)
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brightness_factor, saturation_factor, temperature_factor = get_ps_adjust_photo_para(psid)
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if (brightness_factor == 1 and saturation_factor == 1 and temperature_factor == 1):
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print("No need to adjust")
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return False
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if os.path.exists(os.path.join(workdir, pid, 'photo3')):
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print(f'{os.path.join(workdir, pid, "photo3")}目录已存在，跳过')
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return
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os.makedirs(os.path.join(workdir, pid, 'photo3'), exist_ok=True)
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 开始调整图片曝光...')
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start_time = time.time()
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for filename in os.listdir(os.path.join(workdir, pid, 'photo2')):
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if filename.endswith(".jpg"):
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# print(f"Adjusting {filename}:brightness={brightness_factor}, saturation={saturation_factor}, temperature={temperature_factor}")
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image = Image.open(os.path.join(workdir, pid, 'photo2', filename))
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image = rotate_image(image)
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brightened_image = adjust_brightness(image, brightness_factor)
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saturated_image = adjust_saturation(brightened_image, saturation_factor)
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adjusted_image = adjust_temperature(saturated_image, temperature_factor)
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adjusted_image.save(os.path.join(workdir, pid, 'photo3', filename))
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} 图片曝光调整完成，共费时{diff_time(start_time)}')
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return True
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def getPSid(pid):
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res = requests.get(config.urls['get_psid_url'], params={'pid': pid})
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print('get_psid_url:', res.url)
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print('res:', res.text)
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res = json.loads(res.text)
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return str(res['data'])
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def getHeadCount(pid):
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res = requests.get(config.urls['get_printinfo_url'], params={'id': pid})
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print('get_printinfo_url:', res.url)
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print('res:', res.text)
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if res.status_code != 200:
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print('获取人数失败，程序退出')
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exit(1)
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res = json.loads(res.text)
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return res['data']['headcount']
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def get_ps_type(pid):
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# return 1:圆形影棚 2:方形影棚
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res = requests.get(config.urls['get_ps_type_url'], params={'pid': pid})
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return res.json()['data']['type']
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def find_valid_camera_on_oss(pid):
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if get_ps_type(pid) == 1:
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print('当前拍照影棚为：圆形影棚')
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cameras = (103, 93, 113)
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else:
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print('当前拍照影棚为：方形影棚')
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cameras = (74, 64, 84)
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find_camera = 0
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for camera in cameras:
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objectkey = f'photos/{pid}/photo2/{camera}_8.jpg'
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find = config.oss_bucket.object_exists(objectkey)
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if find:
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find_camera = camera
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break
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print('找到有效正脸相机:', find_camera)
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if find_camera == 0:
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print('{cameras}没有找到照片，程序退出')
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exit(1)
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return find_camera
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def aliyun_face(pid):
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high = False
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style = 'imm/detectface'
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camera = find_valid_camera_on_oss(pid)
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objectkey = f'photos/{pid}/photo2/{camera}_8.jpg'
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try:
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res = config.oss_bucket.get_object(objectkey, process=style)
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except oss2.exceptions.NoSuchKey:
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print('没有找到文件:', objectkey)
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return high
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res = json.loads(res.read())
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if res['success']:
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if res['Faces'] is None:
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print('no face')
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return None
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else:
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print('faces num:', len(res['Faces']))
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for face in res['Faces']:
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print('-' * 20)
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print('face_id:', face['FaceId'])
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print('gender:', face['Gender'])
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print('age:', face['Age'])
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if face['Gender'] == 'FEMALE' and face['Age'] < 22: high = True
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if face['Gender'] == 'MALE' and face['Age'] < 15: high = True
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else:
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print('face detect failed...')
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return high
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def down_obj_from_oss(workdir, pid, action):
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if os.path.exists(os.path.join(workdir, action, pid)):
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print(f'目录{os.path.join(workdir, action, pid)}已存在，跳过')
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return
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else:
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os.makedirs(os.path.join(workdir, action, pid))
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# 根据前缀获取文件列表
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prefix = f'objs/{action}/{pid}/'
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filelist = oss2.ObjectIteratorV2(config.oss_bucket, prefix=prefix)
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print('正在下载:', prefix)
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obj_filename = ""
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for file in filelist:
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filename = file.key.split('/')[-1]
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if filename.endswith('.obj'):
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obj_filename = filename
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# print('正在下载:', file.key)
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localfile = os.path.join(workdir, action, pid, filename)
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config.oss_bucket.get_object_to_file(file.key, localfile)
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return obj_filename
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def set_photos_join_type(workdir, pid, photoN, mesh = '0', texture='0'):
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photoN_path = os.path.join(workdir, pid, photoN)
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for xmp in os.listdir(photoN_path):
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if xmp.endswith('.xmp'):
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xmp_path = os.path.join(photoN_path, xmp)
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with open(xmp_path, '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(xmp_path, 'w') as f:
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f.writelines(lines)
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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 down_from_oss(oss_client, workdir, pid, per=100,photoPath=""):
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start_time = time.time()
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path = os.path.join(workdir, pid)
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if os.path.exists(path):
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print(f"Directory {path} already exists, skip")
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return
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os.makedirs(os.path.join(path, 'photo1'))
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os.makedirs(os.path.join(path, 'photo2'))
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psid = getPSid(pid)
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# 根据前缀获取文件列表
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prefix = f'photos/{pid}/'
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filelist = oss2.ObjectIteratorV2(oss_client, prefix=prefix)
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for file in tqdm(filelist):
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filename = file.key.split('/')[-1]
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localfile = ""
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# print('正在下载:', file.key)
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if photoPath == "":
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if filename.endswith('_1.jpg'):
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localfile = os.path.join(path, 'photo1', filename)
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else:
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localfile = os.path.join(path, 'photo2', filename)
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else:
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if photoPath=="1":
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if filename.endswith('_1.jpg'):
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localfile = os.path.join(path, 'photo1', filename)
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else:
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if filename.endswith('_8.jpg'):
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localfile = os.path.join(path, 'photo2', filename)
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if localfile == "":
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continue
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style = f'image/resize,p_{per}'
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if per == 100:
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oss_client.get_object_to_file(file.key, localfile)
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else:
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oss_client.get_object_to_file(file.key, localfile, process=style)
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#判断localfile 是否有包含 photo2
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#遍历处理photo2的数数据
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# if str(psid) == "96" or str(pid) == "118994":
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# path = os.path.join(workdir, pid, 'photo2')
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# files = []
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# for fileName in os.listdir(path):
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# if ".jpg" in fileName:
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# files.append(path+"\\"+fileName)
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# beginTime = time.time()
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# with ThreadPoolExecutor(max_workers=6) as executor:
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# executor.map(process_image, files)
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# print(f'{localfile}灰度处理费时{diff_time(beginTime)}')
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 图片下载完成, 共费时{diff_time(start_time)}')
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#灰度处理图片
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def process_image(localfile):
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if ".jpg" in localfile:
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common.remove_gray_and_sharpening(localfile)
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def get_defineDistances(psid):
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res = ''
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distances = libs_db.get_floor_sticker_distances(psid).split(';')
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print("distances",distances)
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for d in distances:
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p1, p2, distance = d.split(' ')
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res = res + f' -defineDistance {p1} {p2} {distance}'
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return res.strip()
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def is_running(psname):
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for p in psutil.process_iter(['name']):
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if psname.strip() in p.info['name']:
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return True
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return False
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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 down_obj_from_oss_for_fix(workdir, pid, action):
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if os.path.exists(os.path.join(workdir, action, pid)):
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print(f'目录{os.path.join(workdir, action, pid)}已存在，跳过')
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return
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else:
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os.makedirs(os.path.join(workdir, action, pid))
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# 根据前缀获取文件列表
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prefix = f'objs/{action}/{pid}/'
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filelist = oss2.ObjectIteratorV2(config.oss_bucket, prefix=prefix)
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print('正在下载:', prefix)
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obj_filename = ""
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for file in filelist:
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filename = file.key.split('/')[-1]
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if filename.endswith(f'{pid}.obj') == False:
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continue
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if filename.endswith('.obj'):
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obj_filename = filename
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# print('正在下载:', file.key)
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localfile = os.path.join(workdir, action, pid, filename)
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config.oss_bucket.get_object_to_file(file.key, localfile)
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return obj_filename
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def down_obj_from_oss_for_repeat_texture(workdir, pid, action):
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print(os.path.join(workdir, pid))
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if not os.path.exists(os.path.join(workdir, pid)):
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print("目录不存在,无法处理")
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return "error"
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#判断是否有专门新建的目录用来重新贴图
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newPath = os.path.join(workdir, pid,'repeat_texture','completion_cloud')
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if not os.path.exists(newPath):
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os.makedirs(newPath)
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# 根据前缀获取文件列表
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prefix = f'objs/{action}/{pid}/ai/repeat_texture/completion_cloud'
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filelist = oss2.ObjectIteratorV2(config.oss_bucket, prefix=prefix)
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print('正在下载:', prefix)
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for file in filelist:
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filename = file.key.split('/')[-1]
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if filename == "":
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continue
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localfile = os.path.join(newPath, filename)
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config.oss_bucket.get_object_to_file(file.key, localfile)
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return newPath
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def down_obj_from_oss_auto(pid,action,pathStr):
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#pathStr = os.path.join(workdir, str(pid)+"_ai")
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if not os.path.exists(pathStr):
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os.makedirs(pathStr)
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# 根据前缀获取文件列表
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prefix = f'objs/{action}/{pid}'
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filelist = oss2.ObjectIteratorV2(config.oss_bucket, prefix=prefix)
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print('正在下载:', prefix)
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for file in filelist:
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filename = file.key.split('/')[-1]
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if filename == "":
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continue
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if filename != f"{pid}.jpg" and filename != f"{pid}.obj" and filename != f"{pid}.mtl":
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continue
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print(filename)
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localfile = os.path.join(pathStr, filename)
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config.oss_bucket.get_object_to_file(file.key, localfile) |