Comments (5)
Hi Jaen,
I haven't done too much testing for tiny Yolo.
Do you have a fork you can share or a colab? Along with some minimal example to reproduce the error?
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Hi Anton,
Thank you for such a quick reply! I do have a colab, with the fork in it. Here's the link: https://colab.research.google.com/drive/18r0372CW-Ojo9aON9OyvFQh1joYFDcwu?usp=sharing
As for some minimal example to produce the error, I'm sorry that I do not have it since it only appears after 80 or so epochs. The number is different every time I try it, and do not have a clue about the solution. I do have a picture for the error though, as shown below. For errors #3, it comes out whenever I load tensorflow.
Thanks for your help!
Sincerely,
Jaen
from trainyourownyolo.
Re the training "error" I think you can ignore that. Early stopping just means that the loss has not improved in x number of epochs and thus it is done training.
If you can run inference on it, it means that it is trained successfully. How are the predictions for those pictures that work? Do they seem ok?
I would try to debug the images you are having trouble with. Are they always the same images or do they change?
from trainyourownyolo.
Hi Anton,
Got it! Thanks a lot~ I'll ignore that error.
Yes, they are always the same images that have problems. I guess it has to do with images that have no detection since it error always comes like this no matter how many times I run it:
Really appreciate your help!
Sincerely,
Jaen
from trainyourownyolo.
Hi Anton,
I fixed the error somehow, guessed it was just probably because I moved something in the yolo.py. I re-downloaded and ran it again and it somehow worked...
Thank you for your time and help!
Sincerely,
Jaen
from trainyourownyolo.
Related Issues (20)
- Print accuracy and val_accuracy
- Unable to run Download_and_Convert_YOLO_weights HOT 1
- Confidence score and class label not needed to print HOT 2
- Ran into "Building wheel for opencv-python (PEP 517)" build error during requirements.txt install
- Numpy version error and weights not downlaoding HOT 3
- Python 3.10.x Support HOT 6
- Printing model summary HOT 1
- self._traceback = tf_stack.extract_stack()
- validation set and loss in tensorboard graph HOT 4
- Models,anchors,classes loading time - for optimization HOT 1
- Multiple Labels in an image HOT 2
- IoU threshold for non Max suppression HOT 1
- Own trained model does not detect any objects
- Detect.py stuck after import
- issue in Detector.py
- Yolov3_tiny_Inference Error
- Error (cannot import name 'multi_gpu_model' from 'tensorflow.keras.utils') when running Detector.py
- Unexpected error (it did work in June2022): cannot import name 'multi_gpu_model' from 'tensorflow.keras.utils' HOT 1
- customizing yolo
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