CameraMachine/python/service/deal_one_image.py

import copy
import os.path
# from module.other.module_online_data import GetOnlineData
from module.online_request.module_online_data import GetOnlineDataHLM

import time
from module.log.log import MyLogger

import os
from PIL import Image
# from module.other.remove_bg_ali import RemoveBgALi
from module.base_mode.remove_bg_pixian import RemoveBgPiXian
from module.base_mode.remove_bg_ali import RemoveBgALi
from module.base_mode.remove_bg_ali import Picture
import cv2
import numpy as np
import settings
import math

class Base(object):
    def __init__(self, image_data, lock, windows, num):
        self.lock = lock
        self.windows = windows
        self.image_data = image_data
        self.num = num
        self.get_online_data = GetOnlineDataHLM()
        self.file_path = image_data["file_path"]
        self.file_name = image_data["file_name"]
        self.file = os.path.split(self.file_path)[1]
        self.is_once_data = {}
        self.logger = MyLogger().logger

    def add_log(self, text, _type="info"):
        self.logger.info("第{}个，图片名称：{},内容：{}".format(self.num, self.file, text))

    def send_info(self, text="", is_success=None, _type="show_info", need_point_return=False):
        with self.lock:
            if is_success is not None:
                if is_success:
                    self.windows.remaining_times = self.windows.remaining_times - 1
                else:
                    # 分数返回
                    if need_point_return:
                        # 分数返回
                        if self.is_once("add_point"):
                            print("第{}个，图片名称：{},内容：{}".format(self.num, self.file, "扣分返回"))
                            self.dispose_point(_type="add")
                            self.windows.remaining_times = self.windows.remaining_times + 1

            if text:
                data = {"_type": _type,
                        "data": text,
                        }
                self.windows.send_sign(data)

    def refresh_times(self, cumulative_frequency_times_change):
        if cumulative_frequency_times_change > 0:
            self.windows.remaining_times = self.windows.remaining_times - 1

    def check_path(self, _path):
        if not os.path.exists(_path):
            os.mkdir(_path)
        return True

    def is_once(self, key):
        if key not in self.is_once_data:
            self.is_once_data[key] = 0
            return True
        return False

    def dispose_point(self, _type):
        n = 3
        while n:
            n -= 1
            try:
                _r = self.get_online_data.dispose_point(_type)
                balance = _r["data"]["balance"]
                return True
            except:
                time.sleep(0.5)
                continue

        return False


class DealOneImage(Base):
    def __init__(self, image_data, lock, windows, num):
        super().__init__(image_data, lock, windows, num)
        self.image_data = image_data
        self.lock = lock
        self.windows = windows
        self.num = num
        self.file_path = image_data["file_path"]
        self.file = os.path.split(self.file_path)[1]
        self.r_pixian = RemoveBgPiXian()
        self.file_name = image_data["file_name"]
        self.out_path = image_data["out_path"]

    def run(self):
        # 直接调用抠图
        # 1、增加获取key，2、key需要加密、3、429报错 重试再来拿一个KEY
        self.add_log("开始处理")
        self.send_info(text="{} 处理中".format(self.file_name))

        if self.windows.remaining_times <= 0:
            self.send_info(text="次数不足，处理失败", is_success=False)
            return

        # 检查图片上传是否有结束
        n = 60
        while 1:
            if self.windows.state != 1:
                return
            n -= 1
            if self.file_path in self.windows.upload_pic_dict:
                break

            else:
                time.sleep(1)
                if n <= 0:
                    self.send_info(text="{} 处理超时", is_success=False)
                    return
                continue

        s = time.time()
        # print(self.upload_pic_dict[file_path])
        _flag = self.windows.upload_pic_dict[self.file_path]["flag"]
        if not _flag:
            self.add_log("未查到上传的图片地址")
            self.send_info(text="{} 上传错误", is_success=False)
            return

        image_deal_info = self.windows.upload_pic_dict[self.file_path]["image_deal_info"]
        original_im = self.windows.upload_pic_dict[self.file_path]["_im"]

        self.add_log("抠图中")

        with self.lock:
            self.windows.is_upload_pic_num -= 1

        try:
            balance = self.get_online_data.get_cutout_image_times()["balance"]
            self.add_log("查询balance:{}成功".format(balance))
            if balance <= 0:
                self.add_log("次数不足，处理失败")
                self.send_info(text="次数不足，处理失败", is_success=False)
                return
        except:
            self.add_log("查询balance失败")
            self.send_info(text="查询balance失败", is_success=False)
            return

        n = 0
        while 1:
            # 获取key
            if self.windows.state != 1:
                return
            n += 1
            data = self.get_online_data.get_key_secret()
            key = (data["api_info"]["api_key"], data["api_info"]["api_serect"])
            self.add_log("查询key成功")

            if not key:
                _data = {"text": "出错/超时",
                         "info": "多次获取key失败",
                         }
                self.add_log(text="多次获取key失败")
                self.send_info(text="{} 处理失败,请联系管理员".format(self.file_name), is_success=False)
                return

            if self.is_once("sub_point"):
                # 调用扣分
                with self.lock:

                    self.refresh_times(cumulative_frequency_times_change=1)
                    f = self.dispose_point(_type="sub")
                if not f:
                    self.add_log(text="多次获取调用余额扣减失败")
                    self.send_info(text="多次获取调用余额扣减失败", is_success=False)
                    return

            pixian_cutout_data = self.r_pixian.run_by_image_im(original_im, key)

            if pixian_cutout_data["status_code"] == 200:
                second_cut_image = pixian_cutout_data["im"]

                self.add_log(text="调用抠图完成")
                break

            elif pixian_cutout_data["status_code"] == 402:
                if n >= 2:
                    self.add_log(text="多次抠图失败:{}".format(pixian_cutout_data["status_code"]))
                    self.send_info(text="处理失败,请联系管理员", is_success=False, need_point_return=True)
                    if self.is_once("余额不足报错"):
                        # 余额不足报错,钉钉消息通知
                        self.get_online_data.send_message("Pixian:{} 余额不足".format(key))
                        pass
                    return
                self.add_log(text="抠图失败:{}，延迟6秒".format(pixian_cutout_data["status_code"]))
                time.sleep(6)
                continue

            elif pixian_cutout_data["status_code"] == 429:
                if n >= 2:
                    self.add_log(text="多次抠图失败:{}".format(pixian_cutout_data["status_code"]))
                    self.send_info(text="处理失败,请联系管理员", is_success=False, need_point_return=True)
                    return

                self.add_log(text="{}抠图失败:{}，延迟10秒".format(self.file_name, pixian_cutout_data["status_code"]))
                time.sleep(10)
                continue
            else:
                self.send_info(text="{} 处理失败,请联系管理员".format(self.file_name), is_success=False, need_point_return=True)
                if "message" in pixian_cutout_data:
                    text = "抠图异常，code：{},message:{}".format(pixian_cutout_data["status_code"],
                                                            pixian_cutout_data["message"])
                else:
                    text = "抠图异常，code：{}".format(pixian_cutout_data["status_code"])
                self.add_log(text)
                return

        # 拼接处理
        # print("耗时1：", time.time() - s)

        try:
            if image_deal_info["二次抠图是否缩放"]:
                # print("图片尺寸还原")
                self.add_log(text="图片尺寸进行还原")
                original_im = image_deal_info["抠图扩边后PIL对象"]
                second_cut_image = self.picture_resize_to_original(second_cut_image, original_im)
            # 创建空白图片并粘贴回去
            _img_im = Image.new(mode="RGBA", size=image_deal_info["原始图片大小"], color=(0, 0, 0, 0))
            _img_im.paste(second_cut_image, box=(image_deal_info["抠图扩边后位置"][0], image_deal_info["抠图扩边后位置"][1]))
            _img_im.save(self.out_path)

            self.send_info(text="{} 抠图已完成".format(self.file_name), is_success=True)
            return self.file_path

        except BaseException as e:
            # print(e)
            text = "{} 图片处理错误，代码44".format(e)
            self.add_log(text)
            self.send_info(text=text, is_success=False, need_point_return=True)
            return

    def picture_resize_to_original(self, _img, original_im):
        """

        Parameters
        ----------
        _img 需要还原的PIL对象
        original_im 原图对象

        Returns
        -------

        """

        # 将抠图结果转成mask
        # 将抠图结果放大到原始图大小
        _img = _img.resize(original_im.size,resample=1)
        new_big_mask = Image.new('RGB', _img.size, (0, 0, 0))
        white = Image.new('RGB', _img.size, (255, 255, 255))
        new_big_mask.paste(white, mask=_img.split()[3])

        # ---------制作选区缩小的mask
        mask = cv2.cvtColor(np.asarray(new_big_mask), cv2.COLOR_BGR2GRAY)  # 将PIL 格式转换为 CV对象
        mask[mask != 255] = 0
        # 黑白反转
        # mask = 255 - mask
        # 选区缩小10
        kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (10, 10))
        erode_im = cv2.morphologyEx(mask, cv2.MORPH_ERODE, kernel)

        # -------再进行抠图处理
        mask = Image.fromarray(cv2.cvtColor(erode_im, cv2.COLOR_GRAY2RGBA))  # CV 对象转 PIL
        transparent_im = Image.new('RGBA', original_im.size, (0, 0, 0, 0))
        transparent_im.paste(original_im, (0, 0), mask.convert('L'))
        # 上述抠图结果进行拼接
        _img.paste(transparent_im, (0, 0), transparent_im)

        return _img


class DealOneImageBeforehand(Base):
    def __init__(self, image_data, lock, windows, num):
        super().__init__(image_data, lock, windows, num)
        self.image_data = image_data
        self.lock = lock
        self.windows = windows
        self.get_online_data = GetOnlineDataHLM()
        self.num = num
        self.file_path = image_data["file_path"]
        self.file = os.path.split(self.file_path)[1]
        self.r_ali = RemoveBgALi()
        self.file_name = image_data["file_name"]

    def run(self):
        while 1:
            if self.windows.state != 1:
                return

            with self.lock:
                if self.windows.is_upload_pic_num >= 4:
                    f = False
                else:
                    self.windows.is_upload_pic_num += 1
                    f = True
            if f:
                break
            else:
                time.sleep(1)
                continue
        image_deal_info = {}
        try:
            cut_image, image_deal_info = self.get_image_cut()

            f = True
            url = ""
        except BaseException as e:
            f = False
            url = ""
            cut_image = ""

        with self.lock:
            self.windows.upload_pic_dict[self.file_path] = {"url": url,
                                                            "image_deal_info": image_deal_info,
                                                            "flag": f,
                                                            "_im": cut_image, }

    def get_image_cut(self):
        original_pic = Picture(self.file_path)
        original_pic.im = self.get_image_orientation(original_pic.im)
        original_pic.x, original_pic.y = original_pic.im.size

        original_pic.im = original_pic.im.convert("RGB")
        image_deal_info = {}
        image_deal_info["原始图片大小"] = (original_pic.x, original_pic.y)

        # 原始图过小，则不需要使用阿里进行预处理
        if original_pic.x * original_pic.y < 1000000:
            cut_image = original_pic.im
            image_deal_info["抠图扩边后图片大小"] = cut_image.size
            image_deal_info["二次抠图是否缩放"] = False
            image_deal_info["抠图扩边后位置"] = (0, 0, original_pic.x, original_pic.y)
        else:
            self.add_log("开始预抠图处理")
            cut_image = self.r_ali.get_image_cut(file_path=None, out_file_path=None, original_im=original_pic.im)

            self.add_log("预抠图处理结束")

            x1, y1, x2, y2 = cut_image.getbbox()
            image_deal_info["鞋子原始位置"] = (x1, y1, x2, y2)
            o_w, o_h = cut_image.size
            image_deal_info["鞋子原始抠图后大小"] = (o_w, o_h)
            # 扩边处理
            _w, _h = x2 - x1, y2 - y1
            out_px = 0.025
            _w, _h = int(out_px * _w), int(out_px * _h)
            n_x1, n_y1, n_x2, n_y2 = x1 - _w, y1 - _h, x2 + _w, y2 + _h
            if n_x1 < 0:
                n_x1 = 0
            if n_y1 < 0:
                n_y1 = 0
            if n_x2 > o_w:
                n_x2 = o_w
            if n_y2 > o_h:
                n_y2 = o_h
            image_deal_info["抠图扩边后位置"] = (n_x1, n_y1, n_x2, n_y2)
            cut_image = original_pic.im.crop(image_deal_info["抠图扩边后位置"])

            image_deal_info["抠图扩边后图片大小"] = cut_image.size
            x, y = image_deal_info["抠图扩边后图片大小"]

            # 12000000
            max_size = settings.MAX_PIXIAN_SIZE
            if x * y > max_size:
                r = math.sqrt(max_size) / math.sqrt(x * y)
                r = r*0.9
                size = (int(x * r), int(y * r))
                # print("图片：{} pixian触发二次缩放，原尺寸{}*{},新尺寸：{}".format(self.file_name, x, y, size))
                self.add_log(text="图片进行压缩，压缩前：{}，压缩后：{}".format(image_deal_info["抠图扩边后图片大小"], size))
                image_deal_info["抠图扩边后PIL对象"] = copy.deepcopy(cut_image)
                cut_image = cut_image.resize(size=size,resample=1)
                # print(cut_image.size)
                # print(image_deal_info["抠图扩边后PIL对象"].size)
                image_deal_info["二次抠图是否缩放"] = True
            else:
                image_deal_info["二次抠图是否缩放"] = False
        return cut_image, image_deal_info

    def get_image_orientation(self, img):
        # 获取EXIF数据
        exif = img._getexif()
        if exif is not None:
            # EXIF标签274对应的是Orientation
            orientation = exif.get(0x0112)
            if orientation == 2:
                # 水平翻转
                img = img.transpose(Image.FLIP_LEFT_RIGHT)
            elif orientation == 3:
                # 旋转180度
                img = img.rotate(180, expand=True)
            elif orientation == 4:
                # 垂直翻转
                img = img.transpose(Image.FLIP_TOP_BOTTOM)
            elif orientation == 5:
                # 水平翻转后顺时针旋转90度
                img = img.transpose(Image.FLIP_LEFT_RIGHT).transpose(Image.ROTATE_270)
            elif orientation == 6:
                # 顺时针旋转90度
                img = img.transpose(Image.ROTATE_270)
            elif orientation == 7:
                # 水平翻转后逆时针旋转90度
                img = img.transpose(Image.FLIP_LEFT_RIGHT).transpose(Image.ROTATE_90)
            elif orientation == 8:
                # 逆时针旋转90度
                img = img.transpose(Image.ROTATE_90)
        else:
            print("没有EXIF数据或没有方向信息")
            orientation = 1

        return img