BMW-InnovationLab/BMW-YOLOv4-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
PythonBSD-3-Clause
Pinned issues
Issues
- 1
Where should we get the converttoyolo.py script ? It is not present in the Label tool repo
#36 opened by ProjectsCypher - 7
No such file or directory
#35 opened by rsicak - 1
AlexyAB WebUI - TensorboardX
#32 opened by MBelkhechine - 1
Enter your dataset's absolute path
#26 opened by longtran84 - 1
FileNotFoundError: [Errno 2] No such file or directory: 'config/darknet/yolov4_default_weights/yolov4.weights'
#27 opened by boredomed - 4
Inference after training the model
#10 opened by LSQI15 - 13
training yolov4 tiny
#22 opened by lidorshimoni - 4
Stop container after a short while
#21 opened by HamidEbr - 10
After specifing abs path for training data and container name I get the following error:
#18 opened by dusvyat - 2
- 4
- 3
- 1
Train on the same train | test image groups.
#15 opened by lidorshimoni - 2
Continue Training possible?
#13 opened by wizpig - 2
mAP Evaluation
#9 opened by LSQI15 - 2
web_ui and Tensorboard not working?
#3 opened by sukibean163 - 1
main.py ending after Starting YOLO training
#7 opened by betegon - 4
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
#2 opened by farazBhatti - 1
More than 10k iterations possible?
#5 opened by AGrosserHH - 2
No such file or directory: '../training/config/darknet/yolo_default_weights/yolov3.weights'
#6 opened by KiriUbu - 1
source file is too large!
#1 opened by sukibean163