def evaluate(self):
try:
cocoDt = self.cocoGt.loadRes(self.coco_results)
except:
print("no boxes detected, coco eval aborted")
return 1
cocoEval = COCOeval(self.cocoGt, cocoDt, "bbox")
cocoEval.params.imgIds = list(self.coco_imgIds)
cocoEval.evaluate()
cocoEval.accumulate()
cocoEval.summarize()
return cocoEval.stats
def _do_python_eval(self, res_file, res_folder, ann_type):
print 'do python eval'
coco_dt = self.coco.loadRes(res_file)
#print('>>>> do python eval resfile {}'.format(res_file))
coco_eval = COCOeval(self.coco, coco_dt)
coco_eval.params.useSegm = (ann_type == 'segm')
coco_eval.evaluate()
coco_eval.accumulate()
info_str = self._print_detection_metrics(coco_eval)
eval_file = os.path.join(res_folder,
'detections_%s_results.pkl' % self.image_set)
with open(eval_file, 'w') as f:
cPickle.dump(coco_eval, f, cPickle.HIGHEST_PROTOCOL)
print 'coco eval results saved to %s' % eval_file
info_str += 'coco eval results saved to %s\n' % eval_file
return info_str
def main():
print('>>>> cocoeval')
COCOeval()
def main():
print('>>>> cocoeval')
COCOeval().evaluate()
COCOeval().accumulate()
COCOeval().summarize()