soobin508
soobin508
hi @sovit-123 I also encountered the same issue with the mobilenet reshape. Is there any update regarding this matter?
okay thank you! I have another question. If I want to achieve high accuracy and fps for traffic sign recognition, which pretrained layer is the best? Based on my observation,...
okay thanks! by any chance, do you know what's wrong with this? i checked online, they mentioned that its sth related to the gradient/lr and optimizer. 842 Epoch: [6] [2700/7446]...
i tried with new lr, it shows the same error.. 845 Epoch: [6] [2800/7446] eta: 0:07:49 lr: 0.000010 loss: 0.3495 (0.4442) loss_classifier: 0.1362 (0.2124) loss_box_reg: 0.2011 (0.2273) loss_objectness: 0.0000 (0.0003)...
Unfortunately no, but this error only happens with mobilenet. I tried w other layers with the same parameters, they all working fine.
my pytorch version is '2.1.0' and torchvision is 0.16.0. the dataset used is the [GTSRB.](https://drive.google.com/file/d/13gLoUAbUZgbKV2izPpqN2tt4K2bgYQGx/view?usp=drive_link) I create the dataset by using the create xml u used your previous example.
hi, may I ask what kinds of hardware u used to run the inference? I have tried NVIDIA Jetson Xavier to run the onnx inference code, the FPS only reaches...
alright thank you! Can I ask how to improve the accuracy of the training? Currently I tested out on GTSDB with mobilenet but the accuracy only 23 after 250 epochs...
hi i tried with resnet fpn v2, the best mAP only reaches 51% @0.5:0.95 & 65% @0.5. May I know what else I can do to increase the accuracy? So...