SZU-Renyu

Results 8 issues of SZU-Renyu

Traceback (most recent call last): File "tools/train.py", line 15, in from mmdet.apis import set_random_seed, train_detector File "/home/renyu/anzhuang/anaconda3/envs/FGD/lib/python3.7/site-packages/mmdet/apis/__init__.py", line 2, in from .inference import (async_inference_detector, inference_detector, File "/home/renyu/anzhuang/anaconda3/envs/FGD/lib/python3.7/site-packages/mmdet/apis/inference.py", line 7, in...

为什么验证精度比训练精度高?高的太离谱了 ![image](https://github.com/bubbliiiing/classification-pytorch/assets/88662555/aada5deb-c8ba-4d69-8d17-1153dbb4963d)

请问你有Faster RCNN结合FPN改进的计划吗?

怎么在Resnet50主干后构建一个FPN

I was doing a similar job recently and encountered the same problem. I would like to ask for your help. I want to input a (b, c, w, h, d)...

Hello, thank you for your work, I would like to ask how you work to get DICE for each category instead of single output AVG_DICE

def validation(epoch_iterator_val, model, args): # 设置模型为验证模式 model.eval() # 初始化度量指标 dice_metric = DiceMetric(include_background=False, reduction="mean", get_not_nans=False) dice_metric_batch = DiceMetric(include_background=False, reduction="mean_batch", get_not_nans=False) hd_metric = HausdorffDistanceMetric(include_background=False, reduction="mean", percentile=95) hd_metric_batch = HausdorffDistanceMetric(include_background=False, reduction="mean_batch", percentile=95) #...

Are there any plans to increase JC evaluation metric? At the same time, how to obtain the evaluation metricof each category of multi-category segmentation?