Comments (2)
When running the run_docker_linux_cpu.sh there problem does not appear
from bmw-yolov4-training-automation.
Hello @KiriUbu
It appears you have created an additional folder "yolov3"
Can you please move the .weights files to "yolo_default_weights" and report back?
from bmw-yolov4-training-automation.
Related Issues (20)
- Inference after training the model HOT 4
- Continue Training possible? HOT 2
- saving tensorboard graphs at the end of the training HOT 3
- Train on the same train | test image groups. HOT 1
- what images does the validate api option uses? HOT 4
- where does the tensorflow logs files are saved HOT 2
- After specifing abs path for training data and container name I get the following error: HOT 10
- Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running? HOT 4
- Stop container after a short while HOT 4
- training yolov4 tiny HOT 13
- Enter your dataset's absolute path HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'config/darknet/yolov4_default_weights/yolov4.weights' HOT 1
- web_ui and Tensorboard not working? HOT 2
- AlexyAB WebUI - TensorboardX HOT 1
- No such file or directory HOT 7
- Where should we get the converttoyolo.py script ? It is not present in the Label tool repo HOT 1
- More than 10k iterations possible? HOT 1
- main.py ending after Starting YOLO training HOT 1
- mAP Evaluation HOT 2
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from bmw-yolov4-training-automation.