The code is incomplete - Githubissues

benchen4395 / CCDN_code

It's an old code repository for CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration

MIT License

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The code is incomplete #1

Closed 1058781049 closed 6 days ago

1058781049 commented 1 year ago

May I ask if it is possible to share the tags of gopro and ueye datasets

RenRunyesh commented 8 months ago

May I ask if it is possible to share the tags of gopro and ueye datasets

benchen4395 commented 6 months ago

The code is complete, but the dataset is not belong to us. So we should ask the answer.

benchen4395 commented 2 months ago

May I ask if it is possible to share the tags of gopro and ueye datasets

Here, we release all the training dataset and eval dataset for CCDN and RCDN. Furthermore, we also release all the annotated corner locations for training dataset.

Training dataset: All (a total of 8050 images) were converted to gray-scale images and resized into VGA resolution with (640x480) pixels as the training dataset,
Eval dataset: Including three public datasets: GoPro (100 images), Mesa (206 images) and uEye (206 images), original from ROCHADE (ECCV 2014 oral). If you use these datasets, please cite our two articles. Thanks.

benchen4395 commented 2 months ago

May I ask if it is possible to share the tags of gopro and ueye datasets

Here, we release all the training dataset and eval dataset for CCDN and RCDN. Furthermore, we also release all the annotated corner locations for training dataset.

Training dataset: All (a total of 8050 images) were converted to gray-scale images and resized into VGA resolution with (640x480) pixels as the training dataset,
Eval dataset: Including three public datasets: GoPro (100 images), Mesa (206 images) and uEye (206 images), original from ROCHADE (ECCV 2014 oral). If you use these datasets, please cite our two articles. Thanks.

benchen4395 commented 2 months ago

May I ask if it is possible to share the tags of gopro and ueye datasets

May I ask if it is possible to share the tags of gopro and ueye datasets

Here, we release all the training dataset and eval dataset for CCDN and RCDN. Furthermore, we also release all the annotated corner locations for training dataset.

Training dataset: All (a total of 8050 images) were converted to gray-scale images and resized into VGA resolution with (640x480) pixels as the training dataset,
Eval dataset: Including three public datasets: GoPro (100 images), Mesa (206 images) and uEye (206 images), original from ROCHADE (ECCV 2014 oral). If you use these datasets, please cite our two articles. Thanks.