-
Train code was seperated to train.py and train_auc.py.
I do not know what different and how to use.
-
@@@Hi, I was writing an EfficientDet prediction code, but I found something the more efficient the predictive code gets slower and slower, using the one you provided you still got the better times, …
-
**Prerequisite**
1. I have searched related issues but cannot get the expected help.
2. I have read the [FAQ documentation](https://mmdetection.readthedocs.io/en/latest/faq.html) but cannot get th…
-
Thank you for sharing your excellent work. I trained a project using detectron2 as backbone. But when I trained a model in a machine with 8 GPUs, I met OSError: [Errno 113] No route to host as follow:…
-
Hello
The efficient D2 model is being used.
I'm going to run the assessment with that code.
An error has occurred.
code:
python model_main_tf2.py --model_dir=woo/dev3/Data/train/d2/model_66…
-
## 🚀 Feature
Adding new models to the models section.
## Motivation
Many new models have been proposed in the recent years and do not exist in the models module.
For example, the EfficientNets…
-
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
-
I added Self-adversarial training.
How to use:
```
[net]
adversarial_lr=1
#attention=1 # just to show attention
```
Note for **Classifier**: it seems it makes training unstable for high lear…
-
I'm trying to train your model, but the trained model doesn't predict the outcome
The command I used was python train.py --batch 32 --epochs 5000 --cfg yolov5xv6_pose_bifpn.yaml --hyp configs/hyp.sin…