Test for leaderboard submission

[alien-HL]

Nice code , thanks for your work , I need a test code for leaderboard submission , can you provide some examples please?

[XinGP]

We used Lanegcn's test code before, and the code address is https://github.com/uber-research/LaneGCN

[John122-art]

thanks for your work,the result of test.py is a documents with the attrbutes of h5,but we need to submit json document on EvalAI,how do you slove this problem?

[XinGP]

Sorry, I didn't quite understand your question. EvalAI can upload files in H5 format normally. Why do you need to convert them to JSON format?

[John122-art]

Sorry, I didn't quite understand your question. EvalAI can upload files in H5 format normally. Why do you need to convert them to JSON format?

I followed the steps above and submitted the corresponding .h5 file, but an error occurred. So, I asked ChatGPT, and it replied that the file type was incorrect.

[John122-art]

I chose the wrong competition category, and I apologize for any inconvenience this may have caused.

[John122-art]

I'm sorry to inform you that I trained and saved the final results using your code, and after processing the .h5 file with test.py and submitting it to EvalAI, I found a large discrepancy in the results. My initial suspicion is that the argo_preprocessed file underwent two translations and rotations, while in test.py, only one rotation was used for the restoration. Perhaps my assumption is incorrect. Could you please explain this to me? Thank you very much.

[XinGP]

Perhaps there is indeed an issue with the coordinate conversion, please wait for me to investigate.

[John122-art]

Perhaps there is indeed an issue with the coordinate conversion, please wait for me to investigate.
Thanks for your reply!
Do you directly send the processed data results from test.py to EvalAI and then obtain the final metrics from the paper?

[XinGP]

The paper mentions that the results are obtained by integrating the model results obtained from multiple random seeds, and the results of a single model may be slightly worse.

[John122-art]

thanks for your reply
As long as I confirm that you have used the test.py file from this code to process the integrated results, I will continue to search for the reason behind my slightly different results. Wish you all the best.

[Family-Liao]

thanks for your reply As long as I confirm that you have used the test.py file from this code to process the integrated results, I will continue to search for the reason behind my slightly different results. Wish you all the best.

hello bro! Have you finally solved the problem about using the test.py to generate h5 file? What's wrong with the test.py, may I ask you for some experience! Thanks a lot! Looking forward to your reply, my greate appreciation! @John122-art