Glenn Jocher

@PushpakBhoge there's simply more for the convolutions to work with if there are more pixels representing the object. Like I said the P2 models are intended for smaller stride outputs...

@PushpakBhoge no, but you can pair any --weights with any --cfg. Any layers with matching names and shapes will transfer.

@Akhp888 I'd consult the SAHI author

@ertugrul-dmr YOLOv5 PyTorch Hub models can use TTA with the augment argument: ```python results = model(im, augment=True) ``` You could customize some sort of Ensemble() using the Ensemble() module on...

@RockZombie4 I doubt your training will work with so few images. If you only have 76 images you'll probably want to train very many epochs, i.e. >>1000 to get enough...

@RockZombie4 https://github.com/ultralytics/yolov5/blob/526e650553819dbff67897b9c752c4072e989823/detect.py#L221

@RockZombie4 but I have no idea why you would expect results from 1 epoch of training. This is useless. See Train Custom Data for directions on training and Tips for...

@RockZombie4 👋 Hello! Thanks for asking about improving YOLOv5 🚀 training results. Most of the time good results can be obtained with no changes to the models or training settings,...

@shubhambagwari this is a pytorch issue unrelated to YOLOv5. See https://pytorch.org/get-started/locally/ to install correctly

See https://pytorch.org/get-started/locally/