File size: 3,295 Bytes
07444d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | from datetime import datetime, timedelta
import json
import numpy as np
from pathlib import Path
from EnumParkingStatus import EnumParkingStatus
import os
from AbstractFinalFileGenerator import AbstractFinalFileGenerator
class PLdsFinalFileGenerator(AbstractFinalFileGenerator):
def __init__(self, pathRootDataset, loadOriginalSpaces = False):
super().__init__(pathRootDataset, loadOriginalSpaces)
self.get_basename = False
def _buildOriginalFileReader(self):
return list()
def _loadJsonsNewAnnotations(self):
pathJsons = Path(self.pathRootDataset).rglob('*.json')
pathJsons = [x for x in pathJsons if x.is_file()]
for path in pathJsons:
with open(path, 'r') as file:
json_dict = json.load(file)
# key = '/'.join(str(path).split('/')[-2:]).split('/')[0]
# splitkey = key.split('-')
# date = datetime(int(splitkey[0]),int(splitkey[1]),int(splitkey[2]))
# while date in self.dictNewAnnots:
# date += timedelta(minutes=15)
img_id = int(str(path).split('_')[-1].split('.')[0])
self.dictNewAnnots[img_id] = json_dict
self.orderedDictKeys.append(img_id)
self.orderedDictKeys.sort()
for x in self.orderedDictKeys:
print(x)
def _getDateFromFileName(self, fileName):
strDate = fileName[:]
strDate = strDate.split('/')[-2]
splitDate = strDate.split('-')
date = datetime(int(splitDate[0]),int(splitDate[1]),int(splitDate[2]))
return date
def _loadOriginalParkingSpacesAnnotations(self, imgFileName, imgId, annotations_start_id):
listDicts = []
parkingSpaces, statuses = self.originalFileReader.readAllParkingSpacesInfo(imgFileName)
for i in range(len(statuses)):
dict = self._createDefaultDictParkingSpace(imgId,annotations_start_id)
spaces = []
for coord in parkingSpaces[i]:
spaces.extend(coord)
dict["segmentation"] = spaces
dict["parking_status_id"] = statuses[i]
annotations_start_id += 1
listDicts.append(dict)
return listDicts
def _loadNewParkingSpaces(self, imgFileName, imgId, annotations_start_id):
# fileDate = self._getDateFromFileName(imgFileName)
img_id = int(imgFileName.split('_')[-1].split('.')[0])
listDicts = []
if img_id not in self.orderedDictKeys:
dict_keys = sorted(list(self.dictNewAnnots.keys()))
annotated_img_id = dict_keys.pop(-1)
while dict_keys and annotated_img_id > img_id:
annotated_img_id = dict_keys.pop(-1)
img_id = annotated_img_id
if img_id in self.orderedDictKeys:
spaces = self.dictNewAnnots[img_id]
for space in spaces:
resh = np.reshape(space, -1).tolist()
dict = self._createDefaultDictParkingSpace(imgId, annotations_start_id)
dict["segmentation"] = resh
dict["parking_status_id"] = EnumParkingStatus.UNKNOWN.value
annotations_start_id += 1
listDicts.append(dict)
return listDicts |