feat design 功能迁移

This commit is contained in:
zhouchengrong
2024-05-28 15:22:11 +08:00
parent ec2438f97f
commit a9dcd444c8
35 changed files with 3378 additions and 3 deletions

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import logging
import numpy as np
import cv2
from matplotlib import pyplot as plt
from PIL import Image
def show(img, win_name="temp"):
cv2.imshow(win_name, img)
cv2.waitKey(0)
def crop(img):
mid_point_h, mid_point_w = int(img.shape[0] / 2 + 30), int(img.shape[1] / 2)
img_roi = img[mid_point_h - 520: mid_point_h + 520, mid_point_w - 340: mid_point_w + 340]
return img_roi
class Layer(object):
def __init__(self):
self._layer = []
@property
def layer(self):
return self._layer
def insert(self, layer_instance):
if layer_instance['name'] == 'body':
self._body = layer_instance
self._layer.append(layer_instance)
def sort(self, priority):
self._layer.sort(key=lambda x: priority[x['name']])
# def merge(self, cfg):
# """
# opencv shape order (height, width, channel)
# image coordinate system:
# |------------->x (width)
# |
# |
# |
# y (height)
# Returns:
#
#
# """
# base_image = Image.new('RGBA', self._layer[1]['image'].size, (0, 0, 0, 0))
# for layer in self._layer:
# y, x = layer['position']
# base_image.paste(layer['image'], (x, y), layer['image'])
# # base_image.show()
#
# for x in self._layer:
# if np.all(x['mask'] == 0):
# continue
# # obtain region of interest about roi(roi) and item-image(roi_image, roi_mask)
# roi, roi_mask, roi_image, signal = self.get_roi(dst=dst, image=x)
# temp_bg = np.expand_dims(cv2.bitwise_not(roi_mask), axis=2).repeat(3, axis=2)
# tmp1 = (roi * (temp_bg / 255)).astype(np.uint8)
# temp_fg = np.expand_dims(roi_mask, axis=2).repeat(3, axis=2)
# tmp2 = (roi_image * (temp_fg / 255)).astype(np.uint8)
#
# roi[:] = cv2.add(tmp1, tmp2)
# # show(cv2.resize(dst, (int(dst.shape[1] * 0.5), int(dst.shape[0] * 0.5)), interpolation=cv2.INTER_AREA),
# # win_name=x.get('name'))
# # crop image and get the central part
# if cfg.get('basic')['self_template'] == False:
# dst_roi = crop(dst)
# else:
# dst_roi = dst
# return dst_roi, signal
#
# @staticmethod
# def get_roi(dst, image):
# signal = False
# dst_y, dst_x = dst.shape[:2]
# roi_height, roi_width = image['mask'].shape
# roi_y0, roi_x0 = image['position']
#
# if roi_y0 < 0:
# roi_yin = 0
# mask_yin = -roi_y0
# signal = True
# else:
# roi_yin = roi_y0
# mask_yin = 0
# if roi_y0 + roi_height > dst_y:
# roi_yout = dst_y
# mask_yout = dst_y - roi_y0
# signal = True
# else:
# roi_yout = roi_height + roi_y0
# mask_yout = roi_height
# # x part
# if roi_x0 < 0:
# roi_xin = 0
# mask_xin = -roi_x0
# signal = True
# else:
# roi_xin = roi_x0
# mask_xin = 0
# if roi_x0 + roi_width > dst_x:
# roi_xout = dst_x
# mask_xout = dst_x - roi_x0
# signal = True
# else:
# roi_xout = roi_width + roi_x0
# mask_xout = roi_width
#
# roi = dst[roi_yin: roi_yout, roi_xin: roi_xout]
# roi_mask = image['mask'][mask_yin: mask_yout, mask_xin: mask_xout]
# roi_image = image['image'][mask_yin: mask_yout, mask_xin: mask_xout]
# return roi, roi_mask, roi_image, signal

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class Priority(object):
"""Item layer priority levels.
"""
def __init__(self, item_list):
self._priority = dict(
earring_front=99,
bag_front=98,
hairstyle_front=97,
outwear_front=20,
bottoms_front=19,
dress_front=18,
blouse_front=17,
skirt_front=16,
trousers_front=15,
tops_front=14,
shoes_right=1,
shoes_left=1,
body=0,
tops_back=-14,
trousers_back=-15,
skirt_back=-16,
blouse_back=-17,
dress_back=-18,
bottoms_back=-19,
outwear_back=-20,
hairstyle_back=-97,
bag_back=-98,
earring_back=-99,
)
self.clothing_start_num = 10
if not isinstance(item_list, list):
raise ValueError('item_list must be a list!')
for cate in item_list:
cate = cate.lower()
if cate not in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms'):
raise ValueError(f'Item type error. Cannot recognize {cate}')
for i, cate in enumerate(item_list):
cate = cate.lower()
self._priority[f'{cate}_front'] = self.clothing_start_num - i
self._priority[f'{cate}_back'] = -(self.clothing_start_num - i)
@property
def priority(self):
return self._priority