Open wangle-wang opened 1 year ago
同样的问题,ComputeStudentMatchLoss好像没有添加对无anchor检测器的支持
@wangle-wang were able to replicate the results on custom data set. I am truly confused for steps to follow for Custom Data set which is mentioned. It snot clear which Pretrained weights of YoloL to be used, trained on partial custom data set whose unlabelled images to be labelled or Pretrained on Coco dataset that we should take Also What do they mean by direct start of SSOD training --what kind of supervised training is below step referring to ? Supervised Training(Optional) modify the train: data/custom_train.txt in yolov5l_custom.yaml, and then enter the following script. export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7" python -m torch.distributed.launch --nproc_per_node 8 --master_addr 127.0.0.2 --master_port 29502 train.py --cfg configs/sup/custom/yolov5l_custom.yaml --What are the weights to be given as pretrained weights in this step ? SSOD Training
作者您好,在尝试使用ET进行YOLOX的半监督训练配置时,出现 AttributeError: 'YoloXDetect' object has no attribute 'anchors',请问您有什么建议来解决这个问题吗?
Hello, May I ask you a question? did you implement the yolox ssod by the efficient teacher framework?
作者您好,在尝试使用ET进行YOLOX的半监督训练配置时,出现 AttributeError: 'YoloXDetect' object has no attribute 'anchors',请问您有什么建议来解决这个问题吗?