customer_dir = r"C:\Users\14271\Desktop\fzc分类验证结果\fzc_test_res_006"
# OperateDeteRes.cal_acc_classify(standard_dir, customer_dir)
label_list = ["yt", "sm", "gt", "zd_yt", "fzc_broken"]
# todo 解析 json 文件，对比每一个类型在 各个模型上的正确率和召回率
model_dir = r"C:\Users\14271\Desktop\003_test_res"
model_list = FileOperationUtil.re_all_file(model_dir,
lambda x: str(x).endswith('.json'))
all_res = {}
for each_json_path in model_list:
epoch_num = int(each_json_path.split('_')[-2])
js_file = JsonUtil.load_data_from_json_file(each_json_path)
each_res = {'rec': {}, 'acc': {}}
for each in js_file:
type_str, label, val = each[0], each[1], each[3]
each_res[type_str][label] = val
all_res[epoch_num] = each_res
epoch_num_list = list(all_res.keys())
epoch_num_list.sort()
tb = prettytable.PrettyTable()
# 增加标题
tb.add_column(" ", ["acc"] * len(label_list) + ["rec"] * len(label_list))
tb.add_column(" ", label_list * 2)
# -*- coding: utf-8 -*-
# -*- author: jokker -*-
# todo 两个字典 （1）最难接上的成语
from JoTools.utils.JsonUtil import JsonUtil
from JoTools.utils.CsvUtil import CsvUtil
from pypinyin import pinyin, Style
import pypinyin
a = JsonUtil.load_data_from_json_file(r"chengyuzidian.json")
# #普通模式
# print(pinyin('中心', style=Style.NORMAL))
def chinese2pingyin(chinese):
res = []
a = pinyin(chinese, style=Style.NORMAL)
for each in a:
res.append(each[0])
return res
# 最好接的字
head_cy_head = {} # 代表的是每一个字被对上的概率大小
head_cy_tail = {} # 代表的是每一个字被对上的概率大小
word_hard_index_head = {}
word_hard_index_tail = {}
for each in a:
each = chinese2pingyin(each)
# -*- author: jokker -*-
from JoTools.utils.JsonUtil import JsonUtil
from JoTools.txkjRes.deteObj import PointObj, LineObj, LineStripObj, CricleObj, PolygonObj, RectangleObj
json_path = r"C:\Users\14271\Desktop\关键点\images.json"
json_info = {
"polygon": None,
"rectangle": None,
"circle": None,
"line_strip": None,
"line": None,
"point": None
}
a = JsonUtil.load_data_from_json_file(json_path, encoding='GBK')
# # parse attr
# self.version = a["version"] if "version" in a else ""
# self.width = a["imageWidth"] if "imageWidth" in a else ""
# self.height = a["imageHeight"] if "imageWidth" in a else ""
# self.file_name = a["imagePath"] if "imagePath" in a else ""
# self.image_data_bs64 = a["imageData"]
obj_index = -1
for each_shape in a["shapes"]:
each_shape_type = each_shape["shape_type"] # 数据的类型 point,
#
obj_index += 1
each_label = each_shape["label"]
# point
if isinstance(img_mat, str):
img_mat = cv2.imdecode(np.fromfile(img_mat, dtype=np.uint8), 1)
#
rect = four_point_transform(img_mat, np.array(four_points))
#
if save_path:
# cv2.imwrite(save_path, rect)
cv2.imencode('.jpg', rect)[1].tofile(save_path)
return rect
if __name__ == "__main__":
xml_point_dir = r"C:\Users\14271\Desktop\jizhuangxiang\img"
img_dir = r"C:\Users\14271\Desktop\jizhuangxiang\img"
save_dir = r"C:\Users\14271\Desktop\jizhuangxiang\crop"
for each_json_path in FileOperationUtil.re_all_file(xml_point_dir,
endswitch=['.json']):
img_path = os.path.join(
img_dir,
FileOperationUtil.bang_path(each_json_path)[1] + '.png')
four_points = JsonUtil.load_data_from_json_file(
each_json_path)["shapes"][0]['points']
each_save_path = os.path.join(
save_dir,
FileOperationUtil.bang_path(each_json_path)[1] + '.jpg')
# transform
transform_img_with_4_point(img_path, four_points, each_save_path)
def save_dz_to_json(self, save_path):
"""将段子保存为需要的格式"""
JsonUtil.save_data_to_json_file(self.dz_data, save_path)
def load_dz_from_json(self, file_path):
"""从 json 结构读取段子信息"""
self.dz_data = JsonUtil.load_data_from_json_file(file_path)
# -*- coding: utf-8 -*-
# -*- author: jokker -*-
from JoTools.utils.CsvUtil import CsvUtil
from JoTools.utils.TxtUtil import TxtUtil
from JoTools.utils.JsonUtil import JsonUtil
import zhconv
a = CsvUtil.read_csv_to_list(
r"C:\Users\14271\Desktop\成语词典\dict_idioms_2020_20211229（2）.csv")
cy_list = []
cy_json_list = []
for each in a:
print(each[3])
cy_list.append([zhconv.convert(each[1], 'zh-hans') + ',' + each[3] + '\n'])
cy_json_list.append(zhconv.convert(each[1], 'zh-hans'))
print(len(a))
JsonUtil.save_data_to_json_file(cy_json_list, r"chengyuzidian.json")
TxtUtil.write_table_to_txt(cy_list, r"chengyu.txt")
#