Glenn Jocher

@achbogga thanks for the PR, but we can't add 3rd party packages like this to the requirements and force all users to install this when only a very small minority...

Hey there! It looks like the issue you're encountering is related to how the multiprocessing module is initialized in Windows environments. Python's multiprocessing requires a specific if-statement guard in scripts...

Hello! 😊 It seems like you're facing a dtype mismatch issue when integrating a custom module into YOLOv5, and you're interested in turning off Automatic Mixed Precision (AMP) as a...

Hello! 😊 It looks like there was some confusion regarding the `--amp` option. My apologies for that. If you're looking to control the precision handling in your YOLOv5 training and...

Hello again! 😊 It looks like the core issue resides in the interaction between the custom `HWD` module and the input tensor types, particularly when dealing with the `DWTForward` operation...

@love-whut hello! 😊 It looks like the issue persists with the tensor type mismatch in your custom `HWD` module. Here's a suggestion to ensure all components within your module handle...

Hello! Thanks for reaching out. 😊 It seems the issue you're encountering is related to the path handling on different operating systems, specifically when loading your model weights. This is...

Hi there! 🌟 Thank you for sharing your solution with the community. It's insightful and helpful! Your observation correctly highlights a common issue when switching between Windows and Linux-based environments,...

@Williamwsk hey there 👋, Thank you for bringing this to our attention and providing detailed information. It seems like the memory usage during training, especially with substantial cache file sizes,...

@Minionguyjpro what if I have README.md in my root directory but I want to keep all translated versions in a subdirectory, i.e.: ``` - README.md - subdir - README.zh.md -...