-
"obj_db_clean"和scene_db_clean
-
Hello,
Thank you for sharing the code and work.
I attempted to reproduce the POPE experiment results on the MSCOCO dataset. While the reproduced values for the Regular decoding setting are relativ…
-
### 问题确认 Search before asking
- [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer.
### 请提出你的问题 Please ask your question
```
```
[09/19 22:12:31] ppdet.data.source.co…
-
Hi,Thanks for your contribution! I am very interested in your paper,but i cannot download images_mscoco.task1.tar.gz for the MSCOCO images,I'm not sure if you can provide the dataset directly?Looking …
Roaxy updated
4 months ago
-
**Describe the bug**
I'm trying to train RT DETR model on custom dataset
This is the error I'm getting
Traceback (most recent call last):
File "/RT-DETR/rtdetrv2_pytorch/tools/train.py", line …
-
FID computation is from the codes in https://github.com/mseitzer/pytorch-fid/tree/master.
30k prompts are radomly sampled from COCO 2014 captions val split.
After generation using these randomly s…
-
Hello,
I am trying to train D-fine on a custom dataset. I am able to train and the loss is going down, but eval metrics are constant equal to zero:
```
Average Precision (AP) @[ IoU=0.50:0.95 |…
-
Thank you for your work, it is very inspiring. I'm trying to reproduce your experiment but I'm having some trouble and would like your pointers.
1, How to get a subset of MSCOCO validation set.
I …
-
How can we apply this API on the MSCOCO dataset?
In MNIST dataset, we have one label corresponding to each image but in MSCOCO, each image has multiple labels (categories) or multiple captions. How t…
-
rzai@rzai00:~/prj/TF-mRNN$ CUDA_VISIBLE_DEVICES=1 python ./exp/ms_coco_caption/mrnn_trainer_mscoco.py
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so loc…