Comments (6)
Thank you for using the project. However, after checking, the pretrained weight file works well.
Does the ipython notebook script at https://github.com/penny4860/Yolo-digit-detector/blob/master/detection_example.ipynb not run properly using a weight file? Download the weight file from the above path and load it when you run ipython notebook
from yolo-digit-detector.
I have known the reason, the code need the keras version you assigned. I reinstall the keras ,and it does work ,but the result is not good on my test pictures
from yolo-digit-detector.
Something's wrong. As a result of the notebook file, two boxes in the sample image must be recognized.
from yolo-digit-detector.
I give you some photos to test , and you show me the result on the
Something's wrong. As a result of the notebook file, two boxes in the sample image must be recognized.
I give you some photos to test , and you show me the result on the pictures.but I dont know how to give you pictures
from yolo-digit-detector.
I give you some photos to test , and you show me the result on the
Something's wrong. As a result of the notebook file, two boxes in the sample image must be recognized.
I give you some photos to test , and you show me the result on the pictures.but I dont know how to give you pictures
Hi, I also ran into this problem and resolved it by downgrading my tf and keras versions. Please double check with yours. I hope this will help!
from yolo-digit-detector.
@lizhaonan Thank you for your comment! Required package is specified in https://github.com/penny4860/Yolo-digit-detector#0-requirement
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Related Issues (20)
- Hey pretrained weights are overfitted. HOT 3
- SVHN labeling dataset HOT 4
- Digit Detection fails after training from scratch (or fine tuning) HOT 5
- Extraneous detection boxes on sample input using pre-trained weight file HOT 9
- Did you train your model from scrath without load any pretrained weight? HOT 3
- Yolo weights file HOT 3
- input size HOT 4
- train model by other labels HOT 1
- Is your notebook directly use weight.h5 from google? HOT 1
- How to train with non-square images without resizing HOT 1
- The Layer has never been called and thus has no defined output shape. HOT 2
- Detecting Handwritten Digits HOT 1
- Training model from scratch on custom dataset performing poorly
- Detecting more than 2 digits HOT 7
- RuntimeError: The layer has never been called and thus has no defined output shape HOT 3
- I'm not able to download weights.h5
- 'str' object has no attribute 'decode' HOT 3
- incorrect detection outputs by pre-trained model HOT 1
- Pre-trained model doesn't detect anything on the SVHN sample images
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