how to train the img with size of 1920*1080

[1-etudiant]

if i want to train the image with size of 1920*1080,how to change the code

[GeorgeTsio]

Did you manage to run this inference? python models.py <num_classes> <IN_IMAGE_H> <IN_IMAGE_W> <namefile(optional)>

[1-etudiant]

Did you manage to run this inference? python models.py <num_classes> <IN_IMAGE_H> <IN_IMAGE_W> <namefile(optional)>

no，i want to train my model using images with size of 1920*1080,i changed my cfg.py,and the content that has been altered is:"Cfg.batch = 16,Cfg.width = 1920,Cfg.height = 1080".but it output error:
Traceback (most recent call last):
File "train.py", line 626, in
train(model=model,
File "train.py", line 379, in train
bboxes_pred = model(images)
File "/home/sh/miniconda3/envs/yolov5/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/home/sh/pytorch-YOLOv4/tool/darknet2pytorch.py", line 179, in forward
x = torch.cat((x1, x2), 1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 135 but got size 136 for tensor number 1 in the list.

[GeorgeTsio]

Did you manage to run this inference? python models.py <num_classes> <IN_IMAGE_H> <IN_IMAGE_W> <namefile(optional)>

no，i want to train my model using images with size of 1920*1080,i changed my cfg.py,and the content that has been altered is:"Cfg.batch = 16,Cfg.width = 1920,Cfg.height = 1080".but it output error: Traceback (most recent call last): File "train.py", line 626, in train(model=model, File "train.py", line 379, in train bboxes_pred = model(images) File "/home/sh/miniconda3/envs/yolov5/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "/home/sh/pytorch-YOLOv4/tool/darknet2pytorch.py", line 179, in forward x = torch.cat((x1, x2), 1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 135 but got size 136 for tensor number 1 in the list.

Please try to run first the recommended inferences with his examples to see if there are any mistakes in his model (because I found some, especially in yolov4.pth), then try your training