的确可以写个带parser的main入口,留待下一步吧。 数据准备 因为本项目考虑的都是序列模型,因此只需要准备好数据流的包长序列、包方向序列等信息即可。 数据路径:dataset/{数据集名称}/{类别名}.json 数据集名称说明 dataset目录下,每个子目录都是一个任务的数据集,各个任务通过文件夹区分。比如目前有两个不同的数...
utils/tt100k_to_voc-main folder: Tool for converting JSON annotations to YOLO format. result: Folder to save inference results. run: Folder to save training logs and outputs. Dataset: Download from TT100k : Traffic-Sign Detection and Classification in the Wild. Database files: Located in the...
Assist.Classification Android.Service.Autofill Android.Service.Carrier Android.Service.Chooser Android.Service.Controls Android.Service.Controls.Actions Android.Service.Controls.Templates Android.Service.Credentials Android.Service.Dreams Android.Service.Media Android.Service.Notification Android.Service.QuickAccess...
main.py pretrain.py train_eval.py utils.py README PEAN code implementation for paper:A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification If you find this method helpful for your research, please cite this paper: ...
from ultralytics.utils.torch_utils import de_parallel, torch_distributed_zero_first class DetectionTrainer(BaseTrainer): """ A class extending the BaseTrainer class for training based on a detection model. Example: ```python from ultralytics.models.yolo.detect import DetectionTrainer args...
Assist.Classification Android.Service.Autofill Android.Service.Carrier Android.Service.Chooser Android.Service.Controls Android.Service.Controls.Actions Android.Service.Controls.Templates Android.Service.Credentials Android.Service.Dreams Android.Service.Media Android.Service.Notification Android.Service.Qu...
Assist.Classification Remplissage Android.Service.Autofill Android.Service.Carrier Android.Service.Chooser Android.Service.Controls Android.Service.Controls.Actions Android.Service.Controls.Templates Android.Service.Credentials Android.Service.Dreams Android.Service.Media Android.Service.Notification Android.Service....
Assist.Classification Android.Service.Autofill Android.Service.Carrier Android.Service.Chooser Android.Service.Controls Android.Service.Controls.Actions Android.Service.Controls.Templates Android.Service.Credentials Android.Service.一文 Android.Service.Media Android.Service.Notification Android.Service.QuickAccess...
A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program. - Traffic-Light-Classification/create_tf_record.py at master · cswangchen/Traffic-Light-Cl
std_traffic/utils/ contains Python functions that can be useful for a variety of things, mainly interacting with cloud storage and databases. scripts/ contains ... executable scripts! The data Whenever we generate or collect data, we publish it for everybody's benefits. Next is a list of al...