How to use dumps_json method in tox
Best Python code snippet using tox_python
precise.py
Source:precise.py 
1import os2import sys3import codecs4import json5import xml.etree.ElementTree as ET6import numpy as np7import argparse8import glob9parser = argparse.ArgumentParser()10parser.add_argument("--truth", default="/home/ubuntu/tools/alice/data/ideal/test/ann/", help="path to ground truth annotations folder")11parser.add_argument("--predicted", default="/home/ubuntu/tools/alice/data/ideal/test/out/test/", help="path to predicted boxes folder")12parser.add_argument("--threshold", default=0.5, help="threshold for IOU score")13parser.add_argument("--center", default=True, help="Whether to show Center Score")14parser.add_argument("--iou", default=True, help="Whether to show IOU Score")15parser.add_argument("--labels", default="/home/ubuntu/darkflow/labels.txt", help="path to labels.txt")16args = parser.parse_args()17def isCenterMatch(true, predicted):18 """19 Defines whether true and predicted intersects or not20 Args:21 true - [filename, label, xmin, ymin, xmax, ymax]22 predicted - [filename, label, xmin, ymin, xmax, ymax]23 """24 # predicted coordinates25 xmin_predicted = predicted[2]26 ymin_predicted = predicted[3]27 xmax_predicted = predicted[4]28 ymax_predicted = predicted[5]29 # center of the predicted box30 predictedCenter = (int((xmax_predicted - xmin_predicted)/2.0+xmin_predicted),31 int((ymax_predicted - ymin_predicted)/2.0)+ymin_predicted)32 # true coordinates33 xmin_true = true[2]34 ymin_true = true[3]35 xmax_true = true[4]36 ymax_true = true[5]37 # center of the true box38 trueCenter = (int((xmax_true - xmin_true)/2.0+xmin_true),39 int((ymax_true - ymin_true)/2.0)+ymin_true)40 if isPointInsideRect(predictedCenter, true) or isPointInsideRect(trueCenter, predicted):41 return 142 else:43 return 044def isPointInsideRect(point, rectangle):45 """46 defines whether point inside rectangle or not47 """48 x, y = point[0], point[1]49 xmin = rectangle[2]50 ymin = rectangle[3]51 xmax = rectangle[4]52 ymax = rectangle[5]53 if xmin<=x and ymin<=y and xmax>=x and ymax>=y:54 return True55 else:56 return False57def find_intersection_square(predicted, true):58 """59 returns intersection square between rectangles60 """61 # predicted coordinates62 xmin_predicted = predicted[2]63 ymin_predicted = predicted[3]64 xmax_predicted = predicted[4]65 ymax_predicted = predicted[5]66 # true coordinates67 xmin_true = true[2]68 ymin_true = true[3]69 xmax_true = true[4]70 ymax_true = true[5]71 dx = abs(min(xmax_predicted, xmax_true) - max(xmin_predicted, xmin_true))72 #print min(xmax_predicted, xmax_true)73 dy = abs(min(ymax_predicted, ymax_true) - max(ymin_predicted, ymin_true))74 #print "dx*dy = {}".format(dx*dy)75 if (dx>=0) and (dy>=0):76 #print "dx*dy = ".format(dx*dy)77 return dx*dy78def find_square(coordinates):79 """80 coordinates - [filename, label,xmin,ymin,xmax,ymax]81 returns square for rectangle with given coordinates (coords)82 """83 xmin = coordinates[2]84 ymin = coordinates[3]85 xmax = coordinates[4]86 ymax = coordinates[5]87 width = xmax - xmin88 height = ymax - ymin89 return width * height90def IOU(predicted, true):91 """92 returns intersection over union for rectangles with given coordinates93 """94 predicted_square = find_square(predicted) #square of predicted box95 true_square = find_square(true) # square of ground truth box96 sum_of_squares = predicted_square + true_square97 intersection = find_intersection_square(predicted, true)98 if intersection != sum_of_squares:99 union = sum_of_squares - intersection100 return float(intersection)/union101 else:102 warning = "WARNING!\nIntersection = {}\nSum of squares = {}\npredicted box - {}\ntrue box - {}"103 print warning.format(intersection,104 sum_of_squares, predicted, true)105 return 0106def get_list_of_classes(filename):107 return open(filename).read().splitlines()108def get_class_measures_dict(classes):109 TP, FP, TN, AP = 0, 0, 0, 0110 measure = [TP, FP, TN, AP]111 class_measures_dict = {}112 for class_ in classes:113 class_measures_dict[class_] = [0,0,0,0]114 return class_measures_dict115# Parse xml annotations116ann_folder = args.truth117dumps_xml = {}118for file in glob.glob(ann_folder + '/' + '*.xml'):119 annotation_file = open(file)120 tree = ET.parse(annotation_file)121 root = tree.getroot()122 # filename without extension123 filename = str(root.find('filename').text).rsplit('.', 1)[0]124 for obj in root.iter('object'):125 current = list()126 label = obj.find('name').text127 xmlbox = obj.find('bndbox')128 xmin = int(float(xmlbox.find('xmin').text))129 xmax = int(float(xmlbox.find('xmax').text))130 ymin = int(float(xmlbox.find('ymin').text))131 ymax = int(float(xmlbox.find('ymax').text))132 current = (filename, label, xmin, ymin, xmax, ymax)133 dumps_xml[current] = 0134 annotation_file.close()135# Parse recognized metadata from json format136json_folder = args.predicted137dumps_json = {}138for file in glob.glob(json_folder + '/' + '*.json'):139 try:140 config = json.loads(codecs.open(file, "r", encoding='utf-8', errors='ignore').read())141 except ValueError:142 print "{} does not have any bounding box".format(file)143 continue144 for dictionary in config:145 if dictionary == None:146 continue147 label = dictionary["label"]148 xmin = dictionary["topleft"]["x"]149 ymin = dictionary["topleft"]["y"]150 xmax = dictionary["bottomright"]["x"]151 ymax = dictionary["bottomright"]["y"]152 filename = os.path.basename(file).rsplit('.', 1)[0]153 current = (filename, label, xmin, ymin, xmax, ymax)154 dumps_json[current] = 0155classes = get_list_of_classes(args.labels)156class_measures_dict_iou = get_class_measures_dict(classes)157#Intersection Over Union158threshold = args.threshold159class_measures_dict_iou = get_class_measures_dict(classes)160for predicted_coordinate in dumps_json:161 for true_coordinate in dumps_xml:162 if predicted_coordinate[0] == true_coordinate[0] and dumps_xml[true_coordinate] == 0:163 iou_value = IOU(true = true_coordinate, predicted = predicted_coordinate)164 if iou_value >= threshold:165 # filling class measures166 for class_ in classes:167 true_label = true_coordinate[1]168 predicted_label = predicted_coordinate[1]169 if true_label == predicted_label:170 if true_label == class_:171 dumps_xml[true_coordinate] = 1172 dumps_json[predicted_coordinate] = 1173 class_measures_dict_iou[class_][0] += 1174 break175 else:176 class_measures_dict_iou[predicted_label][1] += 1177 break178for key in dumps_json:179 if dumps_json[key] == 0: # key - (filename, label, xmin, ymin, xmax, ymax)180 label = key[1]181 if label != 'None':182 class_measures_dict_iou[label][2] += 1183for key in dumps_xml:184 if dumps_xml[key] == 0: # key - (filename, label, xmin, ymin, xmax, ymax)185 label = key[1]186 if label != 'None':187 class_measures_dict_iou[label][2] += 1188AP_list = []189for class_ in classes:190 TP = class_measures_dict_iou[class_][0]191 FP = class_measures_dict_iou[class_][1]192 TN = class_measures_dict_iou[class_][2]193 #print TP, FP, TN194 if TP != 0 or FP != 0 or TN != 0:195 AP = float(TP)/(TP+FP+TN)196 class_measures_dict_iou[class_][3] = AP197 AP_list.append(AP)198IOU_mAP = np.mean(AP_list)199# mAP with centers200# making all values equals 0201for key in dumps_json:202 dumps_json[key] = 0203for key in dumps_xml:204 dumps_xml[key] = 0205class_measures_dict = get_class_measures_dict(classes)206for predicted_coordinate in dumps_json:207 for true_coordinate in dumps_xml:208 if predicted_coordinate[0] == true_coordinate[0] and dumps_xml[true_coordinate] == 0:209 if isCenterMatch(true_coordinate, predicted_coordinate) == 1:210 # filling class measures211 for class_ in classes:212 true_label = true_coordinate[1]213 predicted_label = predicted_coordinate[1]214 if true_label == predicted_label:215 if true_label == class_:216 dumps_xml[true_coordinate] = 1217 dumps_json[predicted_coordinate] = 1218 class_measures_dict[class_][0] += 1219 break220 else:221 class_measures_dict[predicted_label][1] += 1222 break223for key in dumps_json:224 if dumps_json[key] == 0: # key - (filename, label, xmin, ymin, xmax, ymax)225 label = key[1]226 if label != 'None':227 class_measures_dict[label][2] += 1228for key in dumps_xml:229 if dumps_xml[key] == 0: # key - (filename, label, xmin, ymin, xmax, ymax)230 label = key[1]231 if label != 'None':232 class_measures_dict[label][2] += 1233AP_list = []234for class_ in classes:235 TP = class_measures_dict[class_][0]236 FP = class_measures_dict[class_][1]237 TN = class_measures_dict[class_][2]238 if TP != 0 or FP != 0 or TN != 0:239 AP = float(TP)/(TP+FP+TN)240 class_measures_dict[class_][3] = AP241 AP_list.append(AP)242centre_mAP = np.mean(AP_list)243bool_center = args.center244bool_iou = args.iou245if bool_center:246 print "CENTRE_score - {}".format(centre_mAP)247 for class_ in classes:248 AP = class_measures_dict[class_][3]249 print "{} - {}".format(class_, AP)250if bool_iou:251 print "IOU_mAP - {}".format(IOU_mAP)252 for class_ in classes:253 AP = class_measures_dict_iou[class_][3]254 print "{} - {}".format(class_, AP)255if not (bool_iou or bool_center):...
ChinaNatureService.py
Source:ChinaNatureService.py
1# # -*- coding: utf-8 -*-2# # @Time : 2022/7/29 15:123# # @Author : lzc4# # @Email : hybpjx@163.com5# # @File : ChinaNatureService.py6# # @Software: PyCharm7# import re8# import time9# from scrapy.selector import Selector10# # from playwright import11#12# from pkg.Invoking import APIInvoke13# from utils.data_to_html import DataFormat14#15# import xmltodict, json16#17#18# class ChinaNatureService:19# name_dict = {20# "naMineName": "项ç®å称",21# "approvalDate": "æ¹åæ¥æ",22# "province": "ç份",23# "qtLatStart": "èµ·å§çº¬åº¦",24# "qtLatEnd": "ç»æ¢çº¬åº¦",25# "qtLonStart": "èµ·å§ç»åº¦",26# "qtLonEnd": "ç»æ¢ç»åº¦",27# "naApplyPerson": "å
¬å¸",28# "qtArea": "é¢ç§¯",29# "businessType": "项ç®ç±»å",30# 'naGeographyPosition': 'å°çä½ç½®',31# 'approvalStatus': 'åçç¶æ',32# 'qtMainMine': 'å¼éç¿ç§',33# 'naMineKind': 'ç¿æ',34# 'naMineKindName': 'ç¿æå称'35# }36#37# key = re.compile(r'</(.*?)>', re.S)38# value = re.compile(r'>(.*?)<', re.S)39# API = APIInvoke40#41# driver = uc.Chrome()42#43# def parse_kyqysl(self, url_list, item):44# for url in url_list:45# dumps_json = self.get_json(url)46#47# for data in dumps_json['ResponseObj']['repMap']['list']:48# item['title_name'] = data['projectName']49# item[50# 'title_url'] = f'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/kq/yq_ck?id={data["id"]}'51# item['title_date'] = data['approvalDate']52# try:53# detail_json = self.get_json(item['title_url'])54# item['content_html'] = DataFormat().dictToHtml(detail_json['CkYqGsEntity'], self.name_dict)55# except TypeError:56# item['content_html'] = DataFormat().dictToHtml(data, self.name_dict)57# self.API().data_update(item)58#59# def parse_bjgsKflyFags(self, url_list, item):60# for url in url_list:61# dumps_json = self.get_json(url)62# for data in dumps_json['ResponseObj']['repMap']['plgsInfoEntityList']:63# item['title_name'] = data['fagsQdmcTitle']64# item[65# 'title_url'] = f'https://zwfw.mnr.gov.cn:8090/bjgsKflyFagsDetail?fagsId={data["id"]}'66# item['title_date'] = data['fagsKssj']67# try:68# detail_json = self.get_json(item['title_url'])69# item['content_html'] = DataFormat().dictToHtml(detail_json['repMap'], self.name_dict)70# except TypeError:71# item['content_html'] = DataFormat().dictToHtml(data, self.name_dict)72# self.API().data_update(item)73#74# def parse_kyqypz(self, url_list, item):75# for url in url_list:76# dumps_json = self.get_json(url)77#78# for data in dumps_json['ResponseObj']['repMap']['list']:79# item['title_name'] = data['projectName']80# item[81# 'title_url'] = f'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/kq/yq_ck?id={data["id"]}'82# item['title_date'] = data['approvalDate']83# try:84# detail_json = self.get_json(item['title_url'])85# item['content_html'] = DataFormat().dictToHtml(detail_json['CkYqGsEntity'], self.name_dict)86# except TypeError:87# item['content_html'] = DataFormat().dictToHtml(data, self.name_dict)88# self.API().data_update(item)89#90# def get_json(self, url):91# self.driver.get(url=url)92# content_html = self.driver.page_source93# selector = Selector(text=content_html, type='html')94# html = selector.css('pre::text').get()95# o = xmltodict.parse(html)96# dumps_json = json.loads(json.dumps(o))97# return dumps_json98#99# def run(self):100# self.parse_kyqysl(101# url_list=[102# 'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/main?type=kyq&projectName=&licenseKey=&businessType=&obligee=&approvalDate=&approvalState=%E5%B7%B2%E5%8F%97%E7%90%86&' \103# f'pageNum={num}&pageSize=10' for num in range(1, 2)],104# item={105# "site_name": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",106# "title_type": "å½å®¶é¨å§",107# "site_path_url": "https://zwfw.mnr.gov.cn/flow/open?type=kyqysl",108# "site_path_name": "ç¿ä¸æç»è®°åçä¿¡æ¯å
¬å¼",109# "title_source": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",110# "site_id": "D29C4CA128",111# },112# )113#114# time.sleep(1)115#116# self.parse_bjgsKflyFags(117# url_list=[118# f'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/fags/initKflyFags?approvalDate=&pageNum={num}&pageSize=10×tamp=1660544155664'119# for num in range(1, 2)],120# item={121# "site_name": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",122# "site_path_url": 'https://zwfw.mnr.gov.cn:8090/bjgsKflyFags',123# "site_path_name": "ç¿äº§èµæºå¼åå©ç¨æ¹æ¡",124# "title_type": "å½å®¶é¨å§",125# "site_id": "08CE9E9B6D",126# "title_source": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",127# },128# )129# time.sleep(1)130# self.parse_kyqypz(131# url_list=[132# f'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/main?type=ckdyba&projectName=&licenseKey=&businessType=&obligee=&approvalDate=&approvalState=&pageNum={num}&pageSize=10×tamp=1660542992028'133# for num in range(1, 2)],134# item={135# "site_name": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",136# "site_path_url": 'https://zwfw.mnr.gov.cn:8090/bjgs?type=kyqypz',137# "site_path_name": "ç¿ä¸æç»è®°åçç»æå
¬å¼",138# "title_type": "å½å®¶é¨å§",139# "site_id": "66331CB7FF",140# "title_source": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",141# },142# )143# time.sleep(1)144# # ææ¶æ²¡çæ145# self.parse_kyqypz(146# url_list=[147# f'https://zwfw.mnr.gov.cn:8090/tlwserver/publicservices/bjgs/main?type=ckdyba&projectName=&licenseKey=&businessType=&obligee=&approvalDate=&approvalState=&pageNum={num}&pageSize=10×tamp=1661147296701'148# for num in range(1, 2)],149# item={150# "site_name": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",151# "site_path_url": 'https://zwfw.mnr.gov.cn:8090/bjgs?type=ckdyba',152# "site_path_name": "ç¿ä¸ææµæ¼å¤æ¡",153# "title_type": "å½å®¶é¨å§",154# "site_id": "AA664FB952",155# "title_source": "èªç¶èµæºé¨æ¿å¡æå¡é¨æ·",156# },157# )158#159# self.spider.close()160#161#162# if __name__ == '__main__':...
json_demo.py
Source:json_demo.py
1import json2books = [3 {4 'title': 'é¢éæ¯ææ ·ç»æç',5 'price': 9.86 },7 {8 'title': '红楼梦',9 'price': 9.910 }11]12dumps_json = json.dumps(books, ensure_ascii=False)13print(dumps_json)14load_json = json.loads(dumps_json)...
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