AiDA_Python/app/service/design_fast/pipeline/loading.py

import logging

import cv2

from app.service.utils.new_oss_client import oss_get_image

logger = logging.getLogger()


class LoadBodyImage:
    name = "LoadBodyImage"

    def __init__(self, minio_client):
        self.minio_client = minio_client

    @classmethod
    def get_name(cls):
        return cls.name

    def __call__(self, result):
        result["name"] = "mannequin"
        result['body_image'] = oss_get_image(oss_client=self.minio_client, bucket=result['body_path'].split("/", 1)[0], object_name=result['body_path'].split("/", 1)[1], data_type="PIL")
        return result


class LoadImage:
    name = "LoadImage"

    def __init__(self, minio_client):
        self.minio_client = minio_client

    @classmethod
    def get_name(cls):
        return cls.name

    def __call__(self, result):
        result['image'], result['pre_mask'] = self.read_image(result['path'])

        # 判断是否resize sketch 保留ori image 用于模型输入
        result['ori_image'] = result['image']
        if result['resize_scale'][0] != 0 and result['resize_scale'][1] != 0:
            height, width = result['image'].shape[:2]
            # 计算新的宽度和高度
            new_width = int(width * result['resize_scale'][0])
            new_height = int(height * result['resize_scale'][1])
            # 使用cv2.resize()函数进行缩放
            result['image'] = cv2.resize(result['image'], (new_width, new_height))
            if result['pre_mask'] is not None:
                result['pre_mask'] = cv2.resize(result['pre_mask'], (new_width, new_height))
        result['gray'] = cv2.cvtColor(result['image'], cv2.COLOR_BGR2GRAY)
        result['keypoint'] = self.get_keypoint(result['name'])
        result['img_shape'] = result['image'].shape
        result['ori_shape'] = result['image'].shape
        return result

    def read_image(self, image_path):
        image_mask = None
        image = oss_get_image(oss_client=self.minio_client, bucket=image_path.split("/", 1)[0], object_name=image_path.split("/", 1)[1], data_type="cv2")
        if len(image.shape) == 2:
            image = cv2.cvtColor(image, cv2.COLOR_GRAY2RGB)
        if image.shape[2] == 4:  # 如果是四通道 mask
            image_mask = image[:, :, 3]
            image = image[:, :, :3]

        if image.shape[:2] <= (50, 50):
            # 计算新尺寸
            new_size = (image.shape[1] * 2, image.shape[0] * 2)
            # 调整大小
            image = cv2.resize(image, new_size, interpolation=cv2.INTER_LINEAR)
        return image, image_mask

    @staticmethod
    def get_keypoint(name):
        if name == 'blouse' or name == 'outwear' or name == 'dress' or name == 'tops':
            keypoint = 'shoulder'
        elif name == 'trousers' or name == 'skirt' or name == 'bottoms':
            keypoint = 'waistband'
        elif name == 'bag':
            keypoint = 'hand_point'
        elif name == 'shoes':
            keypoint = 'toe'
        elif name == 'hairstyle':
            keypoint = 'head_point'
        elif name == 'earring':
            keypoint = 'ear_point'
        elif name == 'accessories':
            keypoint = "accessories"
        else:
            raise KeyError(f"{name} does not belong to item category list: blouse, outwear, dress, trousers, skirt, "
                           f"bag, shoes, hairstyle, earring.")
        return keypoint