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@@ -50,11 +50,11 @@ def get_photo2_align_info(pid):
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#下载照片
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#下载照片
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libs.down_from_oss_photo2(config.oss_bucket, config.workdir, pid)
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libs.down_from_oss_photo2(config.oss_bucket, config.workdir, pid)
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else:
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else:
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pass
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# #移除文件夹
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#移除文件夹
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# shutil.rmtree(os.path.join(config.workdir, pid), ignore_errors=True)
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shutil.rmtree(os.path.join(config.workdir, pid), ignore_errors=True)
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# #下载照片
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#下载照片
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# libs.down_from_oss_photo2(config.oss_bucket, config.workdir, pid)
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libs.down_from_oss_photo2(config.oss_bucket, config.workdir, pid)
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#判断是否存在该目录
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#判断是否存在该目录
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print(f"影棚号:{psid} , {config.oss_bucket.object_exists(f'xmps_new_studio_rate/{psid}/')}")
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print(f"影棚号:{psid} , {config.oss_bucket.object_exists(f'xmps_new_studio_rate/{psid}/')}")
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@@ -5,13 +5,6 @@ if platform.system() == 'Windows':
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sys.path.append('e:\\libs\\')
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sys.path.append('e:\\libs\\')
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else:
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else:
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sys.path.append('/data/deploy/make3d/make2/libs/')
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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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import cv2
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import numpy as np
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from PIL import Image
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from PIL.ExifTags import TAGS
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import piexif
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#检测是否存在 rate_xmps 文件,如果没有则要创建该影棚对应的rate_xmps文件
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#检测是否存在 rate_xmps 文件,如果没有则要创建该影棚对应的rate_xmps文件
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def check_rate_xmps(pid):
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def check_rate_xmps(pid):
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@@ -28,56 +21,14 @@ def clearExifAndRotate(imagePath, rotate=90):
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return
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return
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} {imagePath} 图片exif信息清除并且旋转...')
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} {imagePath} 图片exif信息清除并且旋转...')
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# img = Image.open(imagePath)
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# print(img.info)
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# # 清除 EXIF 信息
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# img.info = {} # 清除 EXIF 信息
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# # 旋转图片 180 度
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# img = img.rotate(180)
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# # 保存处理后的图片
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# img.save(imagePath)
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clear_exif(imagePath,imagePath)
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rotate_image(imagePath, 90, imagePath)
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# 打开图像
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# 打开图像
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# with Image.open(imagePath) as img:
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with Image.open(imagePath) as img:
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# # 使用RGB模式打开图像来丢弃可能存在的EXIF信息
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# 使用RGB模式打开图像来丢弃可能存在的EXIF信息
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# img = img.convert("RGB")
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img = img.convert("RGB")
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# img = img.rotate(rotate)
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img = img.rotate(rotate,expand=True)
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# # 保存图像,保存时不会带有原始的任何元数据
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# 保存图像,保存时不会带有原始的任何元数据
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# img.save(imagePath, quality=100) # 对于JPEG,可以调整质量参数
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img.save(imagePath, quality=100) # 对于JPEG,可以调整质量参数
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# 1. 清除 EXIF 信息
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def clear_exif(image_path, output_path):
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# 使用 Pillow 打开图像并清除 EXIF
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image = Image.open(image_path)
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# 创建不包含EXIF信息的副本
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image_no_exif = Image.new(image.mode, image.size)
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image_no_exif.paste(image, (0, 0))
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# 保存不包含EXIF的图像
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image_no_exif.save(output_path)
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# 2. 旋转图像
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def rotate_image(image_path, angle, output_path):
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# 使用 OpenCV 读取图像
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image = cv2.imread(image_path)
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# 获取图像的中心
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center = (image.shape[1] // 2, image.shape[0] // 2)
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# 获取旋转矩阵
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rotation_matrix = cv2.getRotationMatrix2D(center, angle, 1.0)
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# 执行旋转
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rotated_image = cv2.warpAffine(image, rotation_matrix, (image.shape[1], image.shape[0]))
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# 保存旋转后的图像
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cv2.imwrite(output_path, rotated_image)
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#如果老影棚没有做过旋转坐标的照片的,则要做一次旋转坐标
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#如果老影棚没有做过旋转坐标的照片的,则要做一次旋转坐标
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def rateImages(pid):
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def rateImages(pid):
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#遍历文件夹下的所有图片
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#遍历文件夹下的所有图片
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