Abdol
Abdol
Hello @lockfu. I have got the same issue here. Any help would be appreciated.
Thanks @hjonnala for the suggestion. I'll update you once I get my hands on a ribbon cable.
Thank you @shaneahmed @AbishekRajVG for your work on this PR. Only minor comments from my side. I have run the newly added tests and they passed okay.
Thanks @hjonnala. Using the ribbon cable improved the readings' accuracy. Having tested this on two Environmental Sensor Boards, one of the boards worked fine and the other continued displaying faulty...
A workaround I found is to cast `data_infos` as a Sequence (e.g. a list) in `convert_balloon_to_coco` before the loop: `data_infos = list(data_infos.values())`
I have added a simple test but not completely sure if it fully tests for the fixed bug. @vqdang @John-P I'd appreciate it if you can give the test a...
A kind follow up @vqdang @John-P. I'd appreciate it if you can give the test a review. Thanks!
A kind follow up @vqdang @John-P. I'd appreciate it if you can give the test a review. Thank you!
After updating the sample OME TIFF, the bug can be reproduced using the existing level consistency tests. So, I have removed the newly-added test. This PR should be good to...
After adding `torch.compile` to the SemanticSegmentor, I'm getting this error from `test_feature_extractor.py`: ``` self = gm = GraphModule( (self_backbone_conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) (...ize=(3, 3),...