Henry

Same from here

Hi @giddyyupp , I am getting the same error. These are the parameters I am using: `python test.py --dataroot ../my_own_data --name PP --model test --gpu_ids 0 --loadSize 512 --fineSize 512...

Hello @giddyyupp, I have a quick question regarding the input image size requirement. Could you kindly provide some information about the preferred dimensions or aspect ratio that the images should...

I am experimenting same logs with the defualt command: `yolo task=detect mode=train model=yolov8s.pt batch=4` I mean, with coco128.yaml, just to do some testings and same results are gotten: ``` Epoch...

@Laughing-q I am still getting nan in my training. It seems for validation is solved:  After running `pip install --upgrade ultralytics` I get the following: ``` Looking in indexes:...

> @nikbobo @hdnh2006 hi guys, may I ask if there're corrupt labels in your datasets?  actually I just found that we got a mismatch issue if there's corrupt label...

@AyushExel Thanks Ayush, you are awesome as always!!

> > > Same problem with the latest version (8.0.17) > > > When lowering the batch size the losses seems to be working but the model is not learning...

I was finally able to run it locally using the docker container from [ultralytics](https://hub.docker.com/r/ultralytics/yolov5) However I just get and optimization (according to your library) of 1.35x faster:  This optimization...

Thanks @diegofiori for your cooperation. This notebook is not comparing the optimized model after applying the following code: ``` class OptimizedYolo(torch.nn.Module): def __init__(self, optimized_core, head_layer): super().__init__() self.core = optimized_core self.head...