Edit Python3\Lib\site-packages\faster_coco_eval\core\cocoeval.py
or Python3\Lib\site-packages\pycocotools\cocoeval.py
def _summarize(
category_dimension = 1 + int(ap)
if s.shape[category_dimension] > 1:
per_str = " per category = {}"
mean_axis = (0,)
if ap == 1:
mean_axis = (0, 1)
per_category_mean_s = np.mean(s, axis=mean_axis).flatten()
with np.printoptions(precision=3, suppress=True, sign=" ", floatmode="fixed"):
print(per_str.format(per_category_mean_s))
return mean_s