mkang315/cst-yolo

Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

cst-yolo's Issues

What type of data annotation format you are using.

Thank you for your excellent work! I would like to ask what type of data annotation format you are using, thanks!

When I execute train.py I get the following error: NameError: nane 'myModel' is not defined

Traceback(most recent call last):
File "/home/hndx/llz/CST-YOLO-main/train. py", line 623, in
train(hyp, opt, device, tb_writer)
File"/home/hndx/llz/CST-YOLO-main/train. py", line 97, in train
model=Model(opt. cfg, ch=3, nc=nc, anchors=hyp. get(' anchors')). to(device)# create
File"/home/hndx/llz/CST-YOLO-main/models/yolopy", Line 528, in__init__
self. model, self. save=parse._model(deepcopy(seLf. yamt), ch=[ ch])# model, savelist
File "/nome/hndx/llz/CST-YOLO-main/models/yolo . py", tine 761, in parse_model
Aatten, myModel, myWinTR]:
NameError: name ' myModel' is not defined

mAP or AP being displayed in test results for blood types?

For RBC, WBC and Platelets, code displays results as mAP, but paper shows results in APs. Is this a typo? Or is there a way for the code to display the APs for each blood cell type?