Diving into the code, I notice that during inference the detector always predicts 100 (set with topK hyper-parameter) instances per image. For the whole COCO validation dataset (5000 images), 500000 instances are saved into coco_instances_results.json and instances_predictions.pth.
Thus, I doubt that some post-process steps may be omitted. If I misunderstood, I will be appreciated if you could solve my confusion. Thx.
Hi, thx for your work.
Diving into the code, I notice that during inference the detector always predicts 100 (set with
topK
hyper-parameter) instances per image. For the whole COCO validation dataset (5000 images), 500000 instances are saved intococo_instances_results.json
andinstances_predictions.pth
.Thus, I doubt that some post-process steps may be omitted. If I misunderstood, I will be appreciated if you could solve my confusion. Thx.