Akide Liu

> > > > Hi @xiexinch , the conversion of the label ids is not required for this dataset. The official format can easily be adapted from the cityscape label...

Do apologise for the delay in the progress, previously I was taking a competition which highly similar to this dataset (subset). Here are some experiments based on mmseg, https://github.com/UAws/CV-3315-Is-All-You-Need At...

@xiexinch solution provided for converting labels, could you review this PR? reference: https://github.com/navganti/kitti_scripts/blob/master/semantics/devkit/kitti_relabel.py

482: virtual_machine_ids = "${vsphere_virtual_machine.master.*.id}" can fix this problem

Plan: 22 to add, 0 to change, 0 to destroy. ------------------------------------------------------------------------ Note: You didn't specify an "-out" parameter to save this plan, so Terraform can't guarantee that exactly these actions...

no luck with even one single message request, got the following error : ``` RuntimeError: Rate limit exceeded for sending requests to poe.com. Please try again later. ```

I have built a temporary fix but it is ugly and complicated : ```python import copy import math import warnings from typing import Optional, no_type_check import mmengine import torch import...

I want to pick up "More accurate learning displaying" https://github.com/open-mmlab/mmengine/issues/482

same problem here by retraining using 4 GPUs with batch size 128 per GPU, the result shows FID 17.66, R precision@3 0.3532 Results reported from Wandb : and log file...

> I have the same problem. The R_precision_top1/2/3 is always very poor. Do you have find any solution? Basically, I have managed the reproduce similar results to the paper by...