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32 changes: 32 additions & 0 deletions .github/ISSUE_TEMPLATE/bugs.md
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---
name: "🐛 Bugs"
about: Report bugs in DETR
title: Please read & provide the following

---

## Instructions To Reproduce the 🐛 Bug:

1. what changes you made (`git diff`) or what code you wrote
```
<put diff or code here>
```
2. what exact command you run:
3. what you observed (including __full logs__):
```
<put logs here>
```
4. please simplify the steps as much as possible so they do not require additional resources to
run, such as a private dataset.

## Expected behavior:

If there are no obvious error in "what you observed" provided above,
please tell us the expected behavior.

## Environment:

Provide your environment information using the following command:
```
python -m torch.utils.collect_env
```
22 changes: 22 additions & 0 deletions .github/ISSUE_TEMPLATE/questions-help-support.md
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---
name: "How to do something❓"
about: How to do something using DETR?

---

## ❓ How to do something using DETR

Describe what you want to do, including:
1. what inputs you will provide, if any:
2. what outputs you are expecting:


NOTE:

1. Only general answers are provided.
If you want to ask about "why X did not work", please use the
[Unexpected behaviors](https://github.com/facebookresearch/detr/issues/new/choose) issue template.

2. About how to implement new models / new dataloader / new training logic, etc., check documentation first.

3. We do not answer general machine learning / computer vision questions that are not specific to DETR, such as how a model works, how to improve your training/make it converge, or what algorithm/methods can be used to achieve X.
41 changes: 41 additions & 0 deletions .github/ISSUE_TEMPLATE/unexpected-problems-bugs.md
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---
name: "Unexpected behaviors"
about: Run into unexpected behaviors when using DETR
title: Please read & provide the following

---

If you do not know the root cause of the problem, and wish someone to help you, please
post according to this template:

## Instructions To Reproduce the Issue:

1. what changes you made (`git diff`) or what code you wrote
```
<put diff or code here>
```
2. what exact command you run:
3. what you observed (including __full logs__):
```
<put logs here>
```
4. please simplify the steps as much as possible so they do not require additional resources to
run, such as a private dataset.

## Expected behavior:

If there are no obvious error in "what you observed" provided above,
please tell us the expected behavior.

If you expect the model to converge / work better, note that we do not give suggestions
on how to train a new model.
Only in one of the two conditions we will help with it:
(1) You're unable to reproduce the results in DETR model zoo.
(2) It indicates a DETR bug.

## Environment:

Provide your environment information using the following command:
```
python -m torch.utils.collect_env
```