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COCOeval.summarize: allow arbitrary maxDets param #559

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COCOeval.summarize: allow arbitrary maxDets param #559

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31 changes: 16 additions & 15 deletions PythonAPI/pycocotools/cocoeval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -172,7 +172,7 @@ def computeIoU(self, imgId, catId):
return []
inds = np.argsort([-d['score'] for d in dt], kind='mergesort')
dt = [dt[i] for i in inds]
if len(dt) > p.maxDets[-1]:
if p.maxDets[-1] and len(dt) > p.maxDets[-1]:
dt=dt[0:p.maxDets[-1]]

if p.iouType == 'segm':
Expand All @@ -196,7 +196,7 @@ def computeOks(self, imgId, catId):
dts = self._dts[imgId, catId]
inds = np.argsort([-d['score'] for d in dts], kind='mergesort')
dts = [dts[i] for i in inds]
if len(dts) > p.maxDets[-1]:
if p.maxDets[-1] and len(dts) > p.maxDets[-1]:
dts = dts[0:p.maxDets[-1]]
# if len(gts) == 0 and len(dts) == 0:
if len(gts) == 0 or len(dts) == 0:
Expand Down Expand Up @@ -424,13 +424,14 @@ def summarize(self):
Compute and display summary metrics for evaluation results.
Note this functin can *only* be applied on the default parameter setting
'''
def _summarize( ap=1, iouThr=None, areaRng='all', maxDets=100 ):
def _summarize( ap=1, iouThr=None, areaRng='all', maxDets=None ):
p = self.params
iStr = ' {:<18} {} @[ IoU={:<9} | area={:>6s} | maxDets={:>3d} ] = {:0.3f}'
iStr = ' {:<18} {} @[ IoU={:<9} | area={:>6s} | maxDets={:>3} ] = {:0.3f}'
titleStr = 'Average Precision' if ap == 1 else 'Average Recall'
typeStr = '(AP)' if ap==1 else '(AR)'
iouStr = '{:0.2f}:{:0.2f}'.format(p.iouThrs[0], p.iouThrs[-1]) \
if iouThr is None else '{:0.2f}'.format(iouThr)
detStr = '{:d}'.format(maxDets) if maxDets else 'all'

aind = [i for i, aRng in enumerate(p.areaRngLbl) if aRng == areaRng]
mind = [i for i, mDet in enumerate(p.maxDets) if mDet == maxDets]
Expand All @@ -453,22 +454,22 @@ def _summarize( ap=1, iouThr=None, areaRng='all', maxDets=100 ):
mean_s = -1
else:
mean_s = np.mean(s[s>-1])
print(iStr.format(titleStr, typeStr, iouStr, areaRng, maxDets, mean_s))
print(iStr.format(titleStr, typeStr, iouStr, areaRng, detStr, mean_s))
return mean_s
def _summarizeDets():
stats = np.zeros((12,))
stats[0] = _summarize(1)
stats[1] = _summarize(1, iouThr=.5, maxDets=self.params.maxDets[2])
stats[2] = _summarize(1, iouThr=.75, maxDets=self.params.maxDets[2])
stats[3] = _summarize(1, areaRng='small', maxDets=self.params.maxDets[2])
stats[4] = _summarize(1, areaRng='medium', maxDets=self.params.maxDets[2])
stats[5] = _summarize(1, areaRng='large', maxDets=self.params.maxDets[2])
stats[1] = _summarize(1, iouThr=.5, maxDets=self.params.maxDets[-1])
stats[2] = _summarize(1, iouThr=.75, maxDets=self.params.maxDets[-1])
stats[3] = _summarize(1, areaRng='small', maxDets=self.params.maxDets[-1])
stats[4] = _summarize(1, areaRng='medium', maxDets=self.params.maxDets[-1])
stats[5] = _summarize(1, areaRng='large', maxDets=self.params.maxDets[-1])
stats[6] = _summarize(0, maxDets=self.params.maxDets[0])
stats[7] = _summarize(0, maxDets=self.params.maxDets[1])
stats[8] = _summarize(0, maxDets=self.params.maxDets[2])
stats[9] = _summarize(0, areaRng='small', maxDets=self.params.maxDets[2])
stats[10] = _summarize(0, areaRng='medium', maxDets=self.params.maxDets[2])
stats[11] = _summarize(0, areaRng='large', maxDets=self.params.maxDets[2])
stats[7] = _summarize(0, maxDets=self.params.maxDets[1]) if len(self.params.maxDets) > 1 else -1
stats[8] = _summarize(0, maxDets=self.params.maxDets[2]) if len(self.params.maxDets) > 2 else -1
stats[9] = _summarize(0, areaRng='small', maxDets=self.params.maxDets[-1])
stats[10] = _summarize(0, areaRng='medium', maxDets=self.params.maxDets[-1])
stats[11] = _summarize(0, areaRng='large', maxDets=self.params.maxDets[-1])
return stats
def _summarizeKps():
stats = np.zeros((10,))
Expand Down