check_img_size() update

.github/ISSUE_TEMPLATE/--bug-report.md

@@ -7,29 +7,43 @@ assignees: ''
 
 ---
 
-Before submitting a bug report, please ensure that you are using the latest versions of:
- - Python
- - PyTorch
- - This repository (run `git fetch && git status -uno` to check and `git pull` to update)
+Before submitting a bug report, please be aware that your issue **must be reproducible** with all of the following, otherwise it is non-actionable, and we can not help you:
+ - **Current repository**: run `git fetch && git status -uno` to check and `git pull` to update your repo
+ - **Common dataset**: coco.yaml or coco128.yaml
+ - **Common environment**: Colab, Google Cloud, or Docker image. See https://github.com/ultralytics/yolov5#reproduce-our-environment
  
-**Your issue must be reproducible on a public dataset (i.e COCO) using the latest version of the repository, and you must supply code to reproduce, or we can not help you.**
-
-If this is a custom training question we suggest you include your `train*.jpg`, `test*.jpg` and `results.png` figures.
+If this is a custom dataset/training question you **must include** your `train*.jpg`, `test*.jpg` and `results.png` figures, or we can not help you. You can generate results.png with `utils.plot_results()`.
 
 
 ## 🐛 Bug
 A clear and concise description of what the bug is.
 
-## To Reproduce
-**REQUIRED**: Code to reproduce your issue below
+
+## To Reproduce (REQUIRED)
+
+Input:
+```
+import torch
+
+a = torch.tensor([5])
+c = a / 0
+```
+
+Output:
 ```
-python train.py ...
+Traceback (most recent call last):
+  File "/Users/glennjocher/opt/anaconda3/envs/env1/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3331, in run_code
+    exec(code_obj, self.user_global_ns, self.user_ns)
+  File "<ipython-input-5-be04c762b799>", line 5, in <module>
+    c = a / 0
+RuntimeError: ZeroDivisionError
 ```
 
 
 ## Expected behavior
 A clear and concise description of what you expected to happen.
 
+
 ## Environment
 If applicable, add screenshots to help explain your problem.