Thank you for your contribution. Could you pls provide the file annotation for training: https://github.com/Shiva-sankaran/LineEX/blob/173343ceb92e7352427a4d937ee872b920a8d76f/modules/KP_detection/train.py#LL100C88-L100C88
Thank you so much!

I tried to detect the objects in a random line chart diagram with "python pipeline.py --input_path = sample_input/"
But it resulted in unrecognized arguments error(screenshot attached).
Then I just ran the command as "python pipeline.py" , the sample image files were processed, but when it came to parsing the new diagram that I uploaded in the sample_input folder, it resulted in an attribute error. The diagram I used looked similar to the diagrams that had been used for training the model.

getting the following error:

Cannot retrieve the public link of the file. You may need to change the permission to 'Anyone with the link', or have had many accesses. You may still be able to access the file from the browser: https://drive.google.com/uc?id=176BjH_6W-HRoU9RvsysSNW27GVIHPlHV

Thanks

Thank you for your contribution. Could you pls provide the results of ChartOCR that as a argment for KP evaluation.

Hi @Shiva-sankaran,

I used the pretrained weights and data and got the output as same as that is given in this repository, but facing a wide variation in the generated JSON output values with the input image.

How to check those values with the input image?

Could you please provide the Grouping_legend_mapping code for training? thanks！

你好，请问可以提供modules/Grouping_legend_mapping/ckpts/mlp_ckpt.t7、modules/Grouping_legend_mapping/ckpts/ckpt_30.t7两个权重文件吗，感谢

Could you please share the weight files of modules/Grouping_legend_mapping/ckpts/mlp_ckpt.t7 and modules/Grouping_legend_mapping/ckpts/ckpt_30.t7, thanks