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hub / github.com/OpenDriveLab/OpenLane / _prepare

Method _prepare

eval/CIPO_evaluation/pycocotools/cocoeval.py:97–125  ·  view source on GitHub ↗

Prepare ._gts and ._dts for evaluation based on params :return: None

(self)

Source from the content-addressed store, hash-verified

95 self.params.imgIds = sorted(list(cocoGt.imgs.keys()))
96
97 def _prepare(self):
98 '''
99 Prepare ._gts and ._dts for evaluation based on params
100 :return: None
101 '''
102 p = self.params
103 if p.useCats:
104 gts=self.cocoGt.loadAnns(self.cocoGt.getAnnIds(imgIds=p.imgIds, catIds=p.catIds))
105 dts=self.cocoDt.loadAnns(self.cocoDt.getAnnIds(imgIds=p.imgIds, catIds=p.catIds))
106 else:
107 dts=self.cocoDt.loadAnns(self.cocoDt.getAnnIds(imgIds=p.imgIds))
108
109 gts=self.cocoGt.loadAnns(self.cocoGt.getAnnIds(imgIds=p.imgIds))
110 dts=self.cocoDt.loadAnns(self.cocoDt.getAnnIds(imgIds=p.imgIds))
111 # print(dts)
112 # set ignore flag
113 for gt in gts:
114 gt['ignore'] = gt['ignore'] if 'ignore' in gt else 0
115 gt['ignore'] = 'iscrowd' in gt and gt['iscrowd']
116
117 self._gts = defaultdict(list) # gt for evaluation
118 self._dts = defaultdict(list) # dt for evaluation
119 for gt in gts:
120 self._gts[gt['image_id']].append(gt)
121 for dt in dts:
122 self._dts[dt['image_id']].append(dt)
123 # print(self._gts, "GTTSSDFJDSL")
124 self.evalImgs = defaultdict(list) # per-image per-category evaluation results
125 self.eval = {} # accumulated evaluation results
126
127 def evaluate(self):
128 '''

Callers 1

evaluateMethod · 0.95

Calls 2

loadAnnsMethod · 0.80
getAnnIdsMethod · 0.80

Tested by

no test coverage detected