Issue not created when tag is pushed with changes

Hi @seungjaeryanlee,

Only tags with name submission-* are considerd for submission/issue creation.

View post 3

Submit both RL and OR method

Hi @junjie_li,

Currently best of those submissions is available on the leaderboard.

But I agree with your question, it is possible that someone’s OR submission have better score and RL even better. Although, I guess we assumed (probably wrongly) that one team may not be working in both OR & RL submission.

cc: @MasterScrat for your views

View post 1

Team merging deadline

Hi @junjie_li,

Sorry for the trouble.
I have extended team creation configuration and you should be able to create teams now.

Team formation will remain open until final date is announced with Round 2 start.

View post 2

How can i use Pytorch in submitting?

Hi @pf1,

You wouldn’t have internet access during the evaluation. This is how you can specify the runtime for your submission:

Given above have lot of options to do same thing.
I will suggest adding pytorch via conda (it take care of dependencies better) here: https://gitlab.aicrowd.com/flatland/neurips2020-flatland-starter-kit/blob/master/environment.yml#L7

View post 1

Looking for team member?

Hey @mtrazzi,

Sorry I missed replying here.

Yes, you are free to create team even after warm-up round.

Your (and your teammates) submissions would be clubbed as team submissions as soon as you are part of any team.

View post 1

Flatland challenge website "My Team" button leading to wrong link

Hi @compscifan2019,

You are correct and it is a bug on our side. I have raised a fix for the same and would be deployed soon.

It wouldn’t cause problem in your participation.

Meanwhile, you can use the “Teams” tab in your profile to start using your team immediately (it is using correct links).
https://www.aicrowd.com/participants/compscifan2019

View post 0

Working on the examples given (flatland-examples)

(confused the question as Procgen competition one instead of Flatland competition, sorry for the wrong answer earlier)

The experiment file you want to submit as submission i.e. here

https://github.com/AIcrowd/neurips2020-procgen-starter-kit/blob/master/run.sh#L8

Edit: I see, the variable name choice probably isn’t the best one here, and could have caused confusion.

View post 0

Working on the examples given (flatland-examples)

Hi @AntiSquid,

You need to point correct file in run.sh and the entrypoint for all the submissions remain as /home/aicrowd/run.sh.

We will make it more clear in starter kit if this information isn’t clear right now.

View post 0

Looking for team member?

Hi everyone,

There are many participants who are looking or would be willing to team up for NeurIPS 2020: Flatland Competition. This thread is to facilitate the same.

Please post your introduction and skills you may be able to help or need help, etc, so other participants can connect accordingly!

“Alone we can do so little, together we can do so much.”
– Helen Keller

Feel free to spam the thread.
Hoping for amazing teams build up from scratch, and hopefully winning the competition!!

View post 4

Conda env creation errors...UPDATED: later EOF error when running evaluator

Hey @MemoAI , please check your internet connection or retry doing it (seems to be stuck on download from pypi), it shouldn’t happen.

View post 1

Conda env creation errors...UPDATED: later EOF error when running evaluator

Hi @MemoAI,

Thanks for pointing it out. The packages you mentioned are not available for Windows. (Ex: libuuid)

Let us check and update the environment.yml to be compatible with windows. Meanwhile, do try to create conda environment removing those unresolved packages, it should ideally work.

View post 1

Change in daily submission limits for round 1

Hi @tim_whitaker,

Thanks for the suggestion.

We agree with your observation and have shared across the concern with the organizing team, and awaiting a decision on it. Although based on initial discussion, the limit will be increased – just collecting a few more datapoints from incoming submissions.

View post 2

Change in daily submission limits for round 1

Hi @victor_le,

We are working on restoring the limit on top priority, but you can expect higher limit somewhere in ~1-2 weeks in worst case. We will keep you all informed as soon as possible on situation.

View post 2

Change in daily submission limits for round 1

Hi @ielmorla,

Can you please share where did you see 8th Aug 8 AM message?

The limit is running window, so your next submission time should be 24 hours plus to your second last submission. (verified the configuration too just to be sure)

View post 0

How to install external libraries?

If you want to run your submissions in a customized environment, first head to aicrowd.json and set docker_build to true . This flag tells that you need a custom environment.

You can read more about it here:

View post 0

FAQ: Round 1 evaluations configuration

View post 0

AWS instance setup

Hi @mtrazzi,

1. Please update run.sh for RAM/CPU you want to use for your run. I assume you are getting 2 CPUs instead of 8 because of default value here. On hindsight, I think we shouldn’t keep default value in starter kit & let rllib automatically detect available resources.

2. RAY_MEMORY_LIMIT & RAY_STORE_MEMORY are “total” memory reserve and not per timestep, etc, hence you probably want to reserve something in the order of GBs and not MBs, and try again (ideally start with 32GB+ given your system configuration and reduce/increase based on your use case).
   In case this doesn’t solve your issue:
   (a) My initial hunch would be if it is related to lru_evict – in case you have enabled it in your script? https://github.com/ray-project/ray/issues/8558 if not please let us know if:
   (b) any major change done in memory-related configuration, so we can help to debug accordingly? https://docs.ray.io/en/latest/memory-management.html

View post 2

Round 1 is open for submissions 🚀

View post 0

Are entries on the leaderboard in round 1or warmup round?

Hi @kaixin,

The warm round end time was extended and is still ongoing, due to which evaluations are happening on only coinrun env.

View post 0

Insufficient cluster resources to launch trial

Hi @ava6969,

Please modify you run.sh based on your system’s configuration.

View post 2

Could you confirm that distribution_mode is hard?

Hi @denys88,

I can confirm that we are using "distribution_mode": "easy" during the rollout/evaluation phase as mentioned.

Assumption: In case you are not adding distribution_mode in the training phase and judging based on the training stage value, it may be running as hard (i.e. default value).

Can you share observation or logs based on which you think it is configured to hard?
Happy to debug and verify it again on our side!

View post 0

Some questions about team members

Hi @RDL_lms,

1. A person cannot join more than one team.
2. Yes, you can add new members to your team till the deadline.
3. The deadline for adding team members is 2 weeks before the end of the final round.

View post 2

2 hours training time limit

Hi @xiaocheng_tang,

The submission is considered as failed right now after 2 hrs timeout.

But I think it is fair request to be able to use last checkpoint in many scenarios. Let us check with team and revert back to you with decision on it.

View post 0

Looking for team member?

Hi everyone,

There are many participants who are looking or would be willing to team up for NeurIPS 2020: Procgen Competition. This thread is to facilitate the same.

Please post your introduction and skills you may be able to help or need help, etc, so other participants can connect accordingly!

“Alone we can do so little, together we can do so much.”
– Helen Keller

Feel free to spam the thread.
Hoping for amazing teams build up from scratch, and hopefully winning the competition!!

View post 1

Submission Compute Time Limits

Hi @tim_whitaker,

The total execution timeout is 2 hours and is enforced in warm up round too.
Please let us know the submission ID in which you noticed execution for >2 hours, and we can have a look into it.

Meanwhile, only reason why it could have been >2 hours is because we use preemptable resources and don’t consider new resource provision time (time from stop to resume) in the 2 hours timeout which may be displayed wrongly on Gitlab issue.

View post 0

Will the submission limit reset at the end of each round?

Yes, the submission limits are different for each round and will reset/change accordingly.

View post 1

TypeError: cannot pickle 'property' object

Thanks, I thought you might be doing something else. We have done most of the testing in Mac OS so this shouldn’t happen ideally.

In that case, can you please share complete traceback, it will help us to debug issue?

View post 0

TypeError: cannot pickle 'property' object

Hi, can you share the command you executed which showed TypeError?

View post 0

FAQ: Regarding rllib based approach for submissions

While we have done quite a few challenges in the past where there was no restrictions in terms of which framework to use.

In the context of the Procgen challenge, we are enforcing the framework as an experiment, as it ofcourse helps us orchestrate the evaluations in a more stable way. At the same time, it also ensures that all the code from all the participants at the end of the competition can hypothetically be just merged into the starter kit in a simple way via a pull request - hence increasing the overall impact of all the activity that happened in this challenge.

View post 5

About the NeurIPS 2020: Procgen Competition category

View post 0

About the REAL 2020 - Robot open-Ended Autonomous Learning category

View post 0

Welcome to REAL Robots 2020!

View post 0

Why this user can submit 42 times?

Hi @youkaichao,

Sorry for any confusion caused.
But this account belongs to MineRL organising/baseline team, not participant, so nothing to worry about.

View post 0

UberSerb

Hi Martin,

Let me escalate it in team and get it checked.
I was following the discussion initially only and right now it do looks like not in good faith.

Regards,
Shivam

View post 0

https://discourse.aicrowd.com/t/

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Use the following paragraphs for a longer description, or to establish category guidelines or rules:

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• How exactly is this different than the other categories we already have?

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View post 0

Test Topic, Test Topic

Reply, Reply, Reply, Reply, Reply, Reply, Reply, Reply

View post 0

Test Topic, Test Topic

Test Content, Test Content, Test Content, Test Content, Test Content, Test Content, Test Content, Test Content

View post 0

https://discourse.aicrowd.com/t/

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Use the following paragraphs for a longer description, or to establish category guidelines or rules:

• Why should people use this category? What is it for?

• How exactly is this different than the other categories we already have?

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View post 0

Regarding your failed submissions

Hi @bzhousd,

Your new submissions are facing issue due to downcasting done on “row_id” column. I have added automated patch for your submissions which convert it, but it will be important to get it included in your codebase, so it is fixed properly.

The changes are as follows in your codebase:

replace("EDA_simple.py", 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"]]', 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"] and c!="row_id"]')
replace("EDA_v3.py", 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"]]', 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"] and c!="row_id"]')
replace("EDA.py", 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"]]', 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"] and c!="row_id"]')
replace("EDA_v4.py", 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"] and c not in [\'drugkey\',\'indicationkey\']]', 'int_cols = [c for c in df if df[c].dtype in ["int64", "int32"] and c not in [\'drugkey\',\'indicationkey\', \'row_id\']]') 

View post 0

Getting INTERNAL SERVER ERROR

Hi all,

Meanwhile in case due to this error you end up uploading same solution multiple times and want to remove duplicate submission, please revert with submission ID we can delete it so your submission limit isn’t affected due to it.

View post 2

How do I submit solutions?

Hey, we seem to be getting submissions right now on the problem.
Can you try now once and inform if it is working fine?

I assume it could have been due to some glitch i.e. challenge had just started. But checking from logs irrespectively.

View post 0

Evaluation metric

cc: @masorx for clarification

View post 0

Coverage on Leaderboard

Please refer this discussion: Evaluation metrics

View post 0

Baseline Python Solution

In case anyone else is following this question.

It has been answered by organisers here:

View post 0

What ID should be considered

No worries, the category name may have not added correctly for some reason, will look.

But for your query, you need to basically use round1_competition.csv.zip (download from resources section) and predict null values in it i.e. 109474 (+1 for header).

The 7 files you mentioned are part of training dataset.

~/Downloads❯ cat round1_competition.csv | grep -E "NaN,NaN" | wc -l
  109474

I hope it helps.

View post 1

What ID should be considered

Hi @thanish, can you please share which challenge are you referring to?

View post 0

Metric Formula Question

cc: @masorx for clarification

View post 0

Incorrect submission procedure

Hi @komsomolsk.ai,

Should incorrect submission be counted in overall submission number?

It is a configurable option per-challenge, I can check with organisers if they want to consider failed submissions into the submission limit and update accordingly.

I even did not download anything - but platform counted empty submit without file.

Let me check this bug, you are correct – in case of no upload, it shouldn’t be considered as submission. I am reverting submissions with empty/no file upload and adding validation so it don’t happen in future. Thanks for reporting it.

View post 0

Scoring takes long

Hi @johnnybrixton,

Sorry for the delay in evaluation.
There was one bug which caused submission to fail and status wasn’t updated.

The bug has been fixed now and you should have feedback for submissions within second(s) now on.

View post 1

Evaluation metrics

Hi @RomanChernenko,

The score is RMSE and the secondary score is coverage.

cc: @masorx for confirming it, I will change the header on the leaderboard once confirmed.

View post 2

About the CYD Campus Aircraft Localization Competition category

View post 0

Machine Learning in Education sector

View post 0

A machine learning lecturer

View post 0

About the Random category

View post 0

About the Random category

View post 0

About the Random category

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

• Why should people use this category? What is it for?

• How exactly is this different than the other categories we already have?

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View post 0

[Announcement] Upcoming updates about tag pushes

View post 0

Issue in making submission via website upload for last few hours

Hi everyone,

We faced issue in our create submission flow for last few hours, in which submissions are done via the website (i.e. upload CSV/JSON), and were notified recently on forum.

The issue has been identified and fixed now. In case you faced any issue in making a submission, please try now.

Sorry for the inconvenience caused. Wishing you best of luck in your respective challenges!

View post 0

Image build failed errors for code based submissions

View post 0

Image build failed errors for code based submissions

Hi participants,

We came to know about higher cases of image build failures in the last couple of days, which caused few image build failures in Food Recognition Challenge and Snake Species Identification Challenge submissions.

Error Like:

Thin Pool has [...] free data blocks which is less than minimum required [...] free data blocks. 
Create more free space in thin pool or use dm.min_free_space option to change behavior

The issue crept in because our docker space cleanup wasn’t working as expected, causing reduced disk space. This has been fixed now, but in case you continue to face this issue please let us know.

View post 1

AIcrowd Blitz ⚡- May 2020

View post 0

AIcrowd Blitz ⚡- May 2020

View post 0

AIcrowd Blitz ⚡- May 2020

View post 0

AIcrowd Blitz ⚡- May 2020

test (1)5315×1346 654 KB

AIcrowd is excited to announce the launch of AIcrowd Blitz - our fortnight-long marathon of interesting AI puzzles .

Whether you are an AI veteran or someone who is just finding feet in the world of ML and AI, there is something for each one of you. And did we mention there are some cash prizes up for grabs too !!

Our problems have always been intriguing and this time would be no exception. So put on that puzzle hat and join us in this marathon.

What : AIcrowd Blitz

When : 2nd May’20 17:00 CEST - 16th May’20 17:00 CEST

Challenge Page: https://aicrowd.com/challenges/aicrowd-blitz-may-2020

Sneak Peek : We have taken some of the classic ML problems and given it a flavor of our own.

View post 5

About the Announcements category

View post 0

About the Announcements category

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

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View post 0

Delay environment pod after agent pod

View post 0

Submission failed : No participant could be found for this username

Hi @gloria_macia_munoz,

Sorry for the error, we are working on syncing usernames on change in AIcrowd to Gitlab & Discourse.

This happened because you renamed your username to gloria_macia_munoz, while remained older one on Gitlab (as we aren’t syncing them properly right now, it is being fixed).

I have renamed your username on Gitlab now and you should be able to make new submission.

NOTE: Your repository path would have changed too accordingly, though Gitlab redirect properly so you wouldn’t face any issue due to it.

Let me know in case you still face issue in making submission.

View post 1

Tried pushing a non-debug mode version but was detected to have debug mode active

Hi @spil3141,

debug parameter expects boolean, but you had specified string i.e. "false" (instead of false) due to which it used fallback i.e. debug enabled.

I just checked and it seems to have happened because starter kit’s README have used it as string as well – as example. Just to save people falling into this behaviour accidently I have added checks for string "true" and "false" now on.

Meanwhile, congratulations on your complete evaluation, all the best!

View post 0

Can not pushing large file to private repository

Hi @spil3141,

Please refer to this FAQ. You need to use git-lfs for large files.

View post 1

System confirmation for submissions

Hi @gokuleloop,

Yes, it is 10.0, sorry I mentioned the version in linked topic but not on this post. I have updated so it is visible here too now.

View post 1

SnakeCLEF how to submit, when and how many?

Hi everyone,

Lukas has already posted the time for Snakes challenge, but I would like to add thanks for the feedback and we will make change to start displaying exact time + timezone on the website, so this don’t create confusion to other challenge/participants.

View post 1

SnakeCLEF how to submit, when and how many?

Hi @christophmf,

Failed ones are being counted toward the submission limit in this challenge as of now (based on challenge configuration).

We can check up with organizers in case we want to consider X failed submissions not to be part of the daily submission limit. (cc: @picekl in case you can confirm it with Rafael)

View post 0

Submission not showing up

Hi @yankeesong,

It is because matplotlib is not installed in your current runtime environment.

You can do so by adding it in your environment.yml file. In case you are an advanced linux user, and want to see all the ways you can configure runtime environment, you can read this FAQ post.

You can view the logs for debug submissions (i.e. debug: true, in aicrowd.json) yourself by clicking on link present in your GitLab issue. Something like below:

Logs for Admin Reference : agent-logs | pod_spec-logs | error_trace-logs |

Let me know in case you have any follow up question.

View post 0

Submission not showing up

Hi @yankeesong, the submission is valid only when:

1. tag starts with prefix submission-
2. the tag commit hash is new and not same as any previous submission, i.e. 2 submission with same commit is ignored

I think your tag push isn’t considered for submission due to 1st point above.

View post 0

System confirmation for submissions

Hi participants,

I noticed question from participant regarding system configuration for Snakes Challenge submissions.

Here is the configuration we use:

CPU: 3.92 cores
RAM: 12.3 GB
GPU (if requested via aicrowd.json, cuda: 10.0): K80

These are n1-standard-4 machine. https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-architecture#eviction_threshold

I hope this helps!
Wishing you best of luck for the challenge and excited to see awesome submissions.

View post 1

Read state_dict in my submission

Hi @yankeesong,

As @picekl mentioned, git-lfs is the way to go.
You can also refer to below link for trimmed down example for uploading models.

In case you have any follow up question do let us know.

View post 0

Submission is taking really long

Hi @eric,

I have shared response on Gitlab issue.

It seems like some problem when you are saving your predictions to file and they are filled with Nan, instead of floats.

View post 0

Submission is taking really long

Hi @eric,

Yes, I am stopping the running submission.

View post 0

Submission is taking really long

Hi @eric,

I am looking into your submission #67390 now and will update you asap.

View post 1

Hash id wrong format

Hi @yankeesong,

Please treat the column as “text” and not “number” in whichever software you are viewing train_labels.csv file.

The hash ids are random “text” fields, and the ID above in the dataset is “9990646e65” (text representation) and not “9.990646E+71” (numeric representation).

~❯ cat ~/Downloads/train_labels.csv | grep 99064
natrix-tessellata,Italy,9990646e65,Europe

I hope it helps, let us know in case you have any further query.

Wish you luck with the competition!

View post 0

New Submission does not appear in Leaderboard

Hi @eric,

#65930 and #65938 have failed due to SyntaxError which have been shared by @picekl in GitLab issues comments.

But #65941 and #65950 have failed due to issue on our end. I have requeued them now, and made announcement about the same here.

View post 0

Is it still possible to submit for the snake competition?

Yes, you can submit. The submissions wouldn’t count toward leaderboard ranking.

View post 1

Can I have an example of a code which is working to make a submission on gitlab?

Hi @ValAn, participants,

Congratulations to all for your participation.

There is no update right now. Organisers will be reaching out to the participants shortly with details about their travel grants, etc and post challenge follow-up.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

Hi @amapic, I have started force cudatoolkit=10.0 installation at same time above announcement is made i.e. 14 hours ago.

Edit: I remember the conda environment issue you were facing, and it isn’t related to it.

View post 1

Can I have an example of a code which is working to make a submission on gitlab?

Hi @ignasimg,

Thanks for the suggestions.
I completely agree that we need to improve our communication & orientation of information for providing seamless experience to participants.

We would be glad to hear back from you after competition and looking forward for the inputs.

I checked all the submissions and unfortunately multiple participants are facing same issue i.e. GPU is being allocated but not used by submissions, due to cuda version mismatch.

For making GPU work out of box, we have introduced force installation as below in our snakes challenge evaluation process:

conda install cudatoolkit=10.0

This should fix the timing issues and we will continue monitoring all the submissions closely.

@ignasimg I have verified disks performance and it was good. Unfortunately on debugging, I found your submission faced same issue i.e. cudatoolkit=10.1 due to which it may have given the impression that disk is the bottleneck (but it was GPU which wasn’t being utilised). The current submission should finish much sooner after condatoolkit version pinning.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

@ValAn No, I can confirm the timeouts haven’t been change b/w your previous and current runs. The only issue has been timeout wasn’t implemented properly in past and it can be reason why your previous (1 week old) submission get missed from timeout.

We can absolutely check why it is taking >8 hours instead of ~10 minutes on local. Can you help me with following:

• The local run is with GPU? I can check if your code is utilising GPU (when allocated) or running only on CPU for whatsoever reason.
• What are the number of images when you are doing locally? The server/test dataset have 32428 images to be exact, which may be causing higher time.

I think specs for online environment would help a bit in case there is significant difference from your local environment: 4 vCPUs, 16 GB memory, K80 GPU (when enabled)

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

Hi @amapic, let me get back on this after confirming with organisers.

Meanwhile we can create new questions instead of following up on this thread, it will make QnA search for future simpler.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

Hi @ValAn,

The submissions ideally should take few hours to run but we have put hard timeout as 8 hours. In case your solution is crossings 8 hours it is marked failed.

According to you how much time your code should run roughly? Is it way too off in local v/s during evaluation phase?

Otherwise you can include GPU (if not doing right now) to speed up computation and finish the evaluation under 8 hours.

Please let us know in case you require more help with debugging your submission. We can try to see which step/part of code is taking higher time if required.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

@amapic This is happening as these packages are only available for linux distribution, due to while installing them in windows (I assume you are using windows) is failing. This is unfortunately a limitation currently with conda.

Example:
https://anaconda.org/anaconda/ncurses, have only osx & linux builds but not windows

In such scenario, I will recommend getting rid of above packages from environment.yaml and continue your conda env creation. These packages are often included being dependencies of “main” dependencies, conda should resolve similar package for your system automatically.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

Hi participants, @ValAn,

Yes the GPUs are available on snakes challenge submissions when gpu: true is done in aicrowd.json.

It need to be 10.0 because nodes on which your code run has GKE version 1.12.x currently -> Nvidia driver 410.79 (based on) -> cuda 10.0 (based on).

We are looking forward to have future challenges on higher CUDA version (GKE version). But to keep consistency in results, timings, etc we do not want to change versions mid-way of contest.

View post 0

Can I have an example of a code which is working to make a submission on gitlab?

Hi @gokuleloop,

Thanks for pointing it out. We have updated the last date to Jan 17, 2020 on website as well.

View post 1

Can I have an example of a code which is working to make a submission on gitlab?

Hi git lfs migrate is for transferring any older commit to start using lfs. This is useful in case you have lots of older commit (intended/unintended) and want those files to migrate to LFS based in future.

View post 1

Can I have an example of a code which is working to make a submission on gitlab?

@amapic in case your files are larger then 30-50 MB, you will need to use git-lfs for uploading those files. Please read about it here: How to upload large files (size) to your submission

View post 1

"Create Submission" not working

Hi @picekl,

We have identified the issue on our side and the submission creation should be working now.

Please let us know in case you face any issue.

View post 1

"Create Submission" not working

Hi @picekl,

Thanks to report, looking into it.

View post 0

Submission file failed

Hi @NPU_BAI,

I will leave to organisers of the challenge to confirm.

But as far as I see, you have predicted whcsp in some cases which is not a valid code. The valid name are whcspa or whcspa1. Due to which submission has failed.

View post 0

Final countdown

Hi @fenway,

I looked into it and your profile isn’t complete yet due to which files are not available to you for download.

Please fill the required information in your profile page here.

Each time I filled out the profile info

Can you link me to the page you have filled the profile information? I can accordingly verify that everything is working as expected. Thanks.

View post 0

Have the dataset files been released?

Hi @houkal,

We are working with @kahst to make the dataset available soon.
It is ready but faced upload issue which is being resolved.

Regards,
Shivam

View post 0

Organizing submissions

Hi @SergeKo,

I am sorry I wasn’t aware about this challenge having private leaderboard, the screenshot is now removed.

View post 0

Organizing submissions

Hi, do you mean submission selected on leaderboard here?

This is picked based on ranking method set by challenge organiser, which is descending for both mean_auc and min_auc in this challenge.

Sorry in case I didn’t understand the question properly.
Please let us know in case you meant something else.

View post 0

Error Message not present in the evaluation script

Hi,

The full traceback is as follows.

You can try out your csv file with ic2020_drawn_ui_evaluator.py:

  File "ic2020_drawn_ui_evaluator.py", line 526, in <module>
    result = evaluator._evaluate(_client_payload)
  File "ic2020_drawn_ui_evaluator.py", line 37, in _evaluate
    predictions = self.load_predictions(submission_file_path)
  File "ic2020_drawn_ui_evaluator.py", line 118, in load_predictions
    for row in reader:
_csv.Error: field larger than field limit (131072)

View post 1

Getting incomplete error message after submission

Hi @OG_SouL,

Thanks for notifying this. We didn’t realise the “View” button next to error message doesn’t contain full error message displayed. We will start displaying inside it properly.

Meanwhile for your case, the full error message is as follows:

Error : Incorrect localisation format (Line nbr 1). The format should be …<widget_ID><localisations_delimited_by_comma>…

View post 0

How long for EUA approval?

cc: @Ivan_Eggel for looking into it

View post 1

Baseline for CRDSM

Contribute Download Execute In Colab

AIcrowd-Logo2492×479

Getting Started Code for CRDSM Educational Challenge¶

Author - Pulkit Gera¶

In [0]:

!pip install numpy
!pip install pandas
!pip install sklearn

Download data¶

The first step is to download out train test data. We will be training a classifier on the train data and make predictions on test data. We submit our predictions

In [0]:

!rm -rf data
!mkdir data
!wget https://s3.eu-central-1.wasabisys.com/aicrowd-public-datasets/aicrowd_educational_crdsm/data/public/test.csv
!wget https://s3.eu-central-1.wasabisys.com/aicrowd-public-datasets/aicrowd_educational_crdsm/data/public/train.csv
!mv train.csv data/train.csv
!mv test.csv data/test.csv

--2020-05-16 21:33:33--  https://s3.eu-central-1.wasabisys.com/aicrowd-public-datasets/aicrowd_educational_crdsm/data/public/test.csv
Resolving s3.eu-central-1.wasabisys.com (s3.eu-central-1.wasabisys.com)... 130.117.252.12, 130.117.252.10, 130.117.252.13, ...
Connecting to s3.eu-central-1.wasabisys.com (s3.eu-central-1.wasabisys.com)|130.117.252.12|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 72142 (70K) [text/csv]
Saving to: ‘test.csv’

test.csv            100%[===================>]  70.45K   150KB/s    in 0.5s    

2020-05-16 21:33:34 (150 KB/s) - ‘test.csv’ saved [72142/72142]

--2020-05-16 21:33:36--  https://s3.eu-central-1.wasabisys.com/aicrowd-public-datasets/aicrowd_educational_crdsm/data/public/train.csv
Resolving s3.eu-central-1.wasabisys.com (s3.eu-central-1.wasabisys.com)... 130.117.252.12, 130.117.252.10, 130.117.252.13, ...
Connecting to s3.eu-central-1.wasabisys.com (s3.eu-central-1.wasabisys.com)|130.117.252.12|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 2543764 (2.4M) [text/csv]
Saving to: ‘train.csv’

train.csv           100%[===================>]   2.43M  1.47MB/s    in 1.6s    

2020-05-16 21:33:39 (1.47 MB/s) - ‘train.csv’ saved [2543764/2543764]

Import packages¶

In [0]:

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.neural_network import MLPClassifier
from sklearn.svm import SVC
from sklearn.metrics import f1_score,precision_score,recall_score,accuracy_score

Load Data¶

• We use pandas 🐼 library to load our data.
• Pandas loads the data into dataframes and facilitates us to analyse the data.
• Learn more about it here 🤓

In [0]:

all_data = pd.read_csv('data/train.csv')

Analyse Data¶

In [0]:

all_data.head()

Out[0]:

	max_ndvi	20150720_N	20150602_N	20150517_N	20150501_N	20150415_N	20150330_N	20150314_N	20150226_N	20150210_N	20150125_N	20150109_N	20141117_N	20141101_N	20141016_N	20140930_N	20140813_N	20140626_N	20140610_N	20140525_N	20140509_N	20140423_N	20140407_N	20140322_N	20140218_N	20140202_N	20140117_N	20140101_N	class
0	997.904	637.5950	658.668	-1882.030	-1924.36	997.904	-1739.990	630.087	-1628.240	-1325.64	-944.084	277.107	-206.7990	536.441	749.348	-482.993	492.001	655.770	-921.193	-1043.160	-1942.490	267.138	366.608	452.238	211.328	-2203.02	-1180.190	433.906	4
1	914.198	634.2400	593.705	-1625.790	-1672.32	914.198	-692.386	707.626	-1670.590	-1408.64	-989.285	214.200	-75.5979	893.439	401.281	-389.933	394.053	666.603	-954.719	-933.934	-625.385	120.059	364.858	476.972	220.878	-2250.00	-1360.560	524.075	4
2	3800.810	1671.3400	1206.880	449.735	1071.21	546.371	1077.840	214.564	849.599	1283.63	1304.910	542.100	922.6190	889.774	836.292	1824.160	1670.270	2307.220	1562.210	1566.160	2208.440	1056.600	385.203	300.560	293.730	2762.57	150.931	3800.810	4
3	952.178	58.0174	-1599.160	210.714	-1052.63	578.807	-1564.630	-858.390	729.790	-3162.14	-1521.680	433.396	228.1530	555.359	530.936	952.178	-1074.760	545.761	-1025.880	368.622	-1786.950	-1227.800	304.621	291.336	369.214	-2202.12	600.359	-1343.550	4
4	1232.120	72.5180	-1220.880	380.436	-1256.93	515.805	-1413.180	-802.942	683.254	-2829.40	-1267.540	461.025	317.5210	404.898	563.716	1232.120	-117.779	682.559	-1813.950	155.624	-1189.710	-924.073	432.150	282.833	298.320	-2197.36	626.379	-826.727	4

Here we use the describe function to get an understanding of the data. It shows us the distribution for all the columns. You can use more functions like info() to get useful info.

In [0]:

all_data.describe()
#all_data.info()

Out[0]:

	max_ndvi	20150720_N	20150602_N	20150517_N	20150501_N	20150415_N	20150330_N	20150314_N	20150226_N	20150210_N	20150125_N	20150109_N	20141117_N	20141101_N	20141016_N	20140930_N	20140813_N	20140626_N	20140610_N	20140525_N	20140509_N	20140423_N	20140407_N	20140322_N	20140218_N	20140202_N	20140117_N	20140101_N	class
count	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000	10545.000000
mean	7282.721268	5713.832981	4777.434284	4352.914883	5077.372030	2871.423540	4898.348680	3338.303406	4902.600296	4249.307925	5094.772928	2141.881486	3255.355465	2628.115168	2780.793602	2397.228981	1548.151856	3015.626776	4787.492858	3640.367446	3027.313647	3022.054677	2041.609136	2691.604363	2058.300423	6109.309315	2563.511596	2558.926018	0.550213
std	1603.782784	2283.945491	2735.244614	2870.619613	2512.162084	2675.074079	2578.318759	2421.309390	2691.397266	2777.809493	2777.504638	2149.931518	2596.151532	2256.234526	2446.439258	2387.652138	1034.798320	1670.965823	2745.333581	2298.281052	2054.223951	2176.307289	2020.499263	2408.279935	2212.018257	1944.613487	2336.052498	2413.851082	1.009424
min	563.444000	-433.735000	-1781.790000	-2939.740000	-3536.540000	-1815.630000	-5992.080000	-1677.600000	-2624.640000	-3403.050000	-3024.250000	-4505.720000	-1570.780000	-3305.070000	-1633.980000	-482.993000	-1137.170000	372.067000	-3765.860000	-1043.160000	-4869.010000	-1505.780000	-1445.370000	-4354.630000	-232.292000	-6807.550000	-2139.860000	-4145.250000	0.000000
25%	7285.310000	4027.570000	2060.600000	1446.940000	2984.370000	526.911000	2456.310000	1017.710000	2321.550000	1379.210000	2392.480000	559.867000	1068.940000	616.822000	947.793000	513.204000	718.068000	1582.530000	2003.930000	1392.390000	1405.020000	1010.180000	429.881000	766.451000	494.858000	5646.670000	689.922000	685.680000	0.000000
50%	7886.260000	6737.730000	5270.020000	4394.340000	5584.070000	1584.970000	5638.400000	2872.980000	5672.730000	4278.880000	6261.950000	1157.170000	2277.560000	1770.350000	1600.950000	1210.230000	1260.280000	2779.570000	5266.930000	3596.680000	2671.400000	2619.180000	1245.900000	1511.180000	931.713000	6862.060000	1506.570000	1458.870000	0.000000
75%	8121.780000	7589.020000	7484.110000	7317.950000	7440.210000	5460.080000	7245.040000	5516.610000	7395.610000	7144.480000	7545.880000	3006.960000	5290.800000	4513.960000	4066.930000	3963.590000	1994.910000	4255.580000	7549.430000	5817.750000	4174.010000	4837.610000	3016.520000	4508.510000	2950.880000	7378.020000	4208.730000	4112.550000	1.000000
max	8650.500000	8377.720000	8566.420000	8650.500000	8516.100000	8267.120000	8499.330000	8001.700000	8452.380000	8422.060000	8401.100000	8477.560000	8624.780000	7932.690000	8630.420000	8210.230000	5915.740000	7492.230000	8489.970000	7981.820000	8445.410000	7919.070000	8206.780000	8235.400000	8247.630000	8410.330000	8418.230000	8502.020000	5.000000

Split Data into Train and Validation 🔪¶

• The next step is to think of a way to test how well our model is performing. we cannot use the test data given as it does not contain the data labels for us to verify.
• The workaround this is to split the given training data into training and validation. Typically validation sets give us an idea of how our model will perform on unforeseen data. it is like holding back a chunk of data while training our model and then using it to for the purpose of testing. it is a standard way to fine-tune hyperparameters in a model.
• There are multiple ways to split a dataset into validation and training sets. following are two popular ways to go about it, k-fold, leave one out. 🧐
• Validation sets are also used to avoid your model from overfitting on the train dataset.

In [0]:

X = all_data.drop('class',1)
y = all_data['class']
# Validation testing
X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)

• We have decided to split the data with 20 % as validation and 80 % as training.
• To learn more about the train_test_split function click here. 🧐
• This is of course the simplest way to validate your model by simply taking a random chunk of the train set and setting it aside solely for the purpose of testing our train model on unseen data. as mentioned in the previous block, you can experiment 🔬 with and choose more sophisticated techniques and make your model better.

• Now, since we have our data splitted into train and validation sets, we need to get the corresponding labels separated from the data.
• with this step we are all set move to the next step with a prepared dataset.

TRAINING PHASE 🏋️¶

Define the Model¶

• We have fixed our data and now we are ready to train our model.

• There are a ton of classifiers to choose from some being Logistic Regression, SVM, Random Forests, Decision Trees, etc.🧐

• Remember that there are no hard-laid rules here. you can mix and match classifiers, it is advisable to read up on the numerous techniques and choose the best fit for your solution , experimentation is the key.

• A good model does not depend solely on the classifier but also on the features you choose. So make sure to analyse and understand your data well and move forward with a clear view of the problem at hand. you can gain important insight from here.🧐

In [0]:

# classifier = LogisticRegression()

classifier = SVC(gamma='auto')

# from sklearn import tree
# classifier = tree.DecisionTreeClassifier()

• To start you off, We have used a basic Support Vector Machines classifier here.
• But you can tune parameters and increase the performance. To see the list of parameters visit here.
• Do keep in mind there exist sophisticated techniques for everything, the key as quoted earlier is to search them and experiment to fit your implementation.

To read more about other sklearn classifiers visit here 🧐. Try and use other classifiers to see how the performance of your model changes. Try using Logistic Regression or MLP and compare how the performance changes.

Train the Model¶

In [0]:

classifier.fit(X_train, y_train)

Out[0]:

SVC(C=1.0, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,
    decision_function_shape='ovr', degree=3, gamma='auto', kernel='rbf',
    max_iter=-1, probability=False, random_state=None, shrinking=True,
    tol=0.001, verbose=False)

got a warning! Dont worry, its just beacuse the number of iteration is very less(defined in the classifier in the above cell).Increase the number of iterations and see if the warning vanishes.Do remember increasing iterations also increases the running time.( Hint: max_iter=500)

Validation Phase 🤔¶

Wonder how well your model learned! Lets check it.

Predict on Validation¶

Now we predict using our trained model on the validation set we created and evaluate our model on unforeseen data.

In [0]:

y_pred = classifier.predict(X_val)

Evaluate the Performance¶

• We have used basic metrics to quantify the performance of our model.
• This is a crucial step, you should reason out the metrics and take hints to improve aspects of your model.
• Do read up on the meaning and use of different metrics. there exist more metrics and measures, you should learn to use them correctly with respect to the solution,dataset and other factors.
• F1 score is the metric for this challenge

In [0]:

precision = precision_score(y_val,y_pred,average='micro')
recall = recall_score(y_val,y_pred,average='micro')
accuracy = accuracy_score(y_val,y_pred)
f1 = f1_score(y_val,y_pred,average='macro')

In [0]:

print("Accuracy of the model is :" ,accuracy)
print("Recall of the model is :" ,recall)
print("Precision of the model is :" ,precision)
print("F1 score of the model is :" ,f1)

Accuracy of the model is : 0.7140825035561877
Recall of the model is : 0.7140825035561877
Precision of the model is : 0.7140825035561877
F1 score of the model is : 0.138865836791148

Testing Phase 😅¶

We are almost done. We trained and validated on the training data. Now its the time to predict on test set and make a submission.

Load Test Set¶

Load the test data on which final submission is to be made.

In [0]:

test_data = pd.read_csv('data/test.csv')

Predict Test Set¶

Time for the moment of truth! Predict on test set and time to make the submission.

In [0]:

y_test = classifier.predict(test_data)

Save the prediction to csv¶

In [0]:

df = pd.DataFrame(y_test,columns=['class'])
df.to_csv('submission.csv',index=False)

🚧 Note :

• Do take a look at the submission format.
• The submission file should contain a header.
• Follow all submission guidelines strictly to avoid inconvenience.

To download the generated csv in collab run the below command¶

In [0]:

try:
  from google.colab import files
  files.download('submission.csv')
except ImportError as e:
  print("Only for Collab")

Well Done! 👍 We are all set to make a submission and see you name on leaderborad. Let navigate to challenge page and make one.¶

View post 0

About the submission creation

Hi,

You have marked challenge as ImageCLEF 2020 VQA-Med in this question, but it doesn’t seem to havee any retrieval type and run type fields?

Meanwhile, for this challenge, please check the submissions instruction given on challenge page. https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqa#submission-instructions

You can also download train/validation files on idea how the “Answer” field should look like.

Let us know in case you have any follow up questions.

View post 0

Submissions taking too long

Hi @naveen_narayanan,

I see all the submissions made by you have failed either due to image build failure caused due to improper Dockerfile or due to exceptions in your code.

I can ignore the failed submissions from your daily count so you can make submission right now (given it is last few hours left), but considering those for final leaderboard or not, will be a decision made by challenge organisers later.

Please go ahead and make a submission!

View post 1

Submissions taking too long

Hi @simon_mezgec,

Your submissions 67274 went without any problem as far as I see. While, 67214 took longer because existing VMs were already busy in evaluating other submissions. We didn’t considering surge in submissions just before the Round end and I have increased parallel submissions to be evaluated (from 4 to 8) which should keep the queue clear.

I hope it helps.

View post 1

Round 2 End Time

Hi, the configured end time as of now is 17/05/2020, 00:00 UTC.

View post 1

Submissions taking too long

Hi @simon_mezgec,

The issue is fixed now and you should be able to make submission. Please remember to pull latest commit from mmdetection starter kit.

Explaination:

This basically happened because mmcv had a new release 0.5.2 ~7 hours back from now.

And mmdetection has requirement of/pinned to latest release of mmcv

Due to this mmdetection installation start failing. I have pinned mmcv version to 0.5.1 in starter kit now. https://gitlab.aicrowd.com/nikhil_rayaprolu/food-pytorch-baseline/commit/84eadc1ca353b5741423e0e1ea9f8db5d4bfd49f

Following this, submissions using this starter kit will go through as usual.
Thanks for notifying the issue to us!

View post 0

Submissions taking too long

Hi,

No worries. You can ping me at either place.

It isn’t happening due to server side this time.

The issue is happening when Dockerfile is trying to install mmdetection package. I think it is due to any new release of package it is dependent on (or similar). I am trying to debug it on my side and inform as soon as I find fix for your Dockerfile.

https://gitlab.aicrowd.com/simon_mezgec/food-recognition-challenge-starter-kit/snippets/20588#L1854

View post 0

Submissions taking too long

Hi @simon_mezgec, your submission has been processed properly now, and I have made post about the error here.

View post 0

Submissions taking too long

Hi @simon_mezgec,

Sorry for the trouble. The submission 65790 is on it’s way to evaluation too now.

I will keep a close eye for the new submissions, to make sure this isn’t repeating.

View post 1

Submissions taking too long

Hi @simon_mezgec,

We had issue in submissions queue due to which submissions got stuck.

We have manually cleaned ongoing submissions – which got stuck and re-queued them now. (to be exact: 65632, 65262, 65404, 65411).

Please let us know in case any other submission ID is stuck for you.

View post 0

Submission limit

Hi @aimk,

The submission limit depends from competition to competition.
You can check the submission limit for any challenge on “new submissions” page.

It is visible something like:

You have 100 submissions remaining.

Similarly for challenges which have daily limit, the message will be visible along with time (i.e. when the limit will reset).

Let me know if you have any further query.

View post 0

New tag does not create an issue or evaluation

Hi @frgfm,

I have same hypothesis as Mohanty shared above.

Can you share exact output/error when you do git push, I can help based on the error.

Hypothesis in advance based on the exact error:

1. In case it is throwing Fatal: Maximum size, etc.. then the reason would be file is already added and you need to migrate it from non-LFS to LFS (happens most of the times). Reference: How to upload large files (size) to your submission
2. If the error is Failed to push LFS/stuck in uploading etc, it can be due to unstable/very-slow internet on your side causing the upload to stop/timeout in middle (rare, but happens). Reference: Cannot upload my model's weights to GitLab - filesize too large

View post 0

New tag does not create an issue or evaluation

Hi @frgfm,

Welcome to the Food Recognition Challenge.

Solution
To immediately start and make a submission, please create a new commit (editing any file) and submit again using submission- git tag.

Description
I went through your git history and it happened because you pushed v0.1.0 followed by submission-v1. What happened here is, we only accept submissions from git tags having prefix submission-, due to which v0.1.0 failed to create a submission.

While when you retried using submission-v1 it looked into the history and found the same commit hash (v0.1.0) sent previously and didn’t trigger submission. Ideally, I believe it should cache/check history only for submission- prefix tags, which didn’t happen here and we will improve it on our side.

Sorry for the inconvenience caused.
Hoping to get exciting submissions from you in the challenge!

View post 1

Editing Docker file

Glad to know that we could help.

for you getting good score on your first run, but all the best in improving scores over time too. Wishing you luck!

View post 1

Editing Docker file

Regarding this, I guess the starter kit/baseline you followed didn’t respect requirements.txt (because of custom Dockerfile being used – which has highest precedence).

We will get it fixed in whichever starter kit you used for your submission (let us know the link). Sorry for the confusion caused due to it.

View post 0

Editing Docker file

Understood. So those lines are actually fine in Dockerfile.

I debugged further to look into issue your code (#59996) is facing and this is what I found:

Traceback (most recent call last):
  File "run.py", line 332, in <module>
    run()
  [.... removed ....]
  File "/usr/local/lib/python3.6/dist-packages/keras/engine/topology.py", line 1364, in __init__
    name=self.name)
  File "/usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py", line 504, in placeholder
    x = tf.placeholder(dtype, shape=shape, name=name)
AttributeError: module 'tensorflow' has no attribute 'placeholder'

This is happening due to wrong (?) version of tensorflow used in your submission v/s the one you may be using on your system. This can be mitigated by using tensorflow v1.4 or by disabling v2 behaviour, etc. More: https://github.com/theislab/scgen/issues/14, https://stackoverflow.com/questions/37383812/tensorflow-module-object-has-no-attribute-placeholder

When running manually the next issue I came across is, you need to add import skimage:

Traceback (most recent call last):
  File "run.py", line 332, in <module>
    run()
  File "run.py", line 304, in run
    predictions=evaluate_coco(model, image_ids=image_ids)
  File "run.py", line 220, in evaluate_coco
    image = load_image(image_id)
  File "run.py", line 162, in load_image
    image = skimage.io.imread(path)
NameError: name 'skimage' is not defined

After that your submission can start running immediately.

Running COCO evaluation on 1959 images.
0
1
2
3
4
5
6
7
8
[....] (I didn't run further)

You can fix based on above remarks and start submitting your solution.

In case you want to debug properly on your desktop directly and are comfortable with Docker, you can use aicrowd-repo2docker to generate image & execute ./run.sh (More: Which docker image is used for my submissions?).

Let us know in case we can provide any other feedback. Also, it will be good to know which starter kit/initial repository you referred for making the submission, so we can add some more debug/testing scripts to the same.

All the best with the competition!

View post 0

Editing Docker file

Hi @hannan4252,

Can you tell why are you trying to edit and/or achieve by the above edit?
By default, you shouldn’t need to edit the above lines and things should work out of the box.

View post 0

Not able to ssh to gitlab

Great, I believe you would have followed steps in starter kit or baseline which make you push codebase to gitlab.aicrowd.com (by changing remote), and you ended up correctly on gitlab.aicrowd.com.

Happy that things are working on your end now, excited to see yours submissions into the challenge and leaderboard!

View post 1

Can I submit code in PyTorch?

@nofreewill42, in case you are not comfortable with Dockerfile, you can still submit and specify your runtime using requirements.txt, environment.yml etc based on your preference to pip/conda/others. (delete the Dockerfile in case you want to use any of these method)

Read more here: How to specify runtime environment for your submission

View post 1

Not able to ssh to gitlab

Hi @nofreewill42,

For making submissions for the challenge you need to use gitlab.aicrowd.com and not gitlab.com. I guess there has been confusion regarding the same above.

The steps will be as follows:

1. Add your SSH key in your account https://gitlab.aicrowd.com/profile/keys
2. Login and start using git repository via gitlab.aicrowd.com domain.

View post 1

Unable to orchestrate submission, please contact Administrators

Hi, sorry for wrong error message in this case. Your submission timed out i.e. >8 hours due to which it was terminated.

It can happen due to multiple reasons:

1. Code is too slow
2. Code needs GPU while GPU wasn’t requested in aicrowd.json
3. GPU was requested and provided, but your code isn’t able to utilise the same, either due to code issue or package issue.

In case you can identify one of the reason for your case, you can submit your code again with fix. Otherwise, you can share submission ID which you would like us to look into. We can help you in debug and share what went wrong.

View post 0

Not able to Download Data

Hi @himanshu ,

Sorry to keep for waiting, the issue is now resolved and datasets are available again on the website.
Thanks again for letting us know about the issue proactively.

Regards,
Shivam

View post 0

Not able to Download Data

Thanks for informing, we are looking into it and fixing asap.

View post 0

Not able to Download Data

Hi, can you share the error coming to you and for which file?

Ideally the link shared here should works directly: https://www.aicrowd.com/challenges/food-recognition-challenge/dataset_files

View post 0

Submission struck

Hi @hannan4252, I see your submission #59955 is still ongoing/running and not stuck.

Side note, you have ran your submission without GPU. In case you want your submission to run with GPU and slow run is due to the same, please enable GPU using this guide.

View post 0

Local Testing for submission error

Sure, is it linux or ubuntu?

Ideally you should be able to test it using docker ps command.
In case you want to install docker in local you can using this help article. https://docs.docker.com/install/

View post 0

Local Testing for submission error

Thanks, command looks good, can you share full traceback in that case?
And is “docker” running on your local, I suspect that to be reason till now.

View post 0

Local Testing for submission error

Hi, what command you used to run locally?

View post 0

Evaluation Criteria

Yes @gloria_macia_munoz, you are correct for image_id & score field. We will also work toward adding this information in starter kit so it is easier for newer participants.

cc: @nikhil_rayaprolu

View post 0

Evaluation Criteria

Hi @gloria_macia_munoz,

Yes, the structure shared by you is correct. You can ignore iscrowd field.

Example for final structure required is as follows:

[
  {
    "image_id": 28902,
    "category_id": 2738,
    "score": 0.18888643674121008,
    "segmentation": [
      [
        270,
        195,
        381,
        823,
        56,
        819,
        527,
        [....]
      ]
    ],
    "bbox": [
      56,
      165,
      678,
      658
    ]
  }
  [....]
}

Please let us know in case there is any followup question. All the best with the challenge!

View post 3

Instructions, EDA and baseline for Food Recognition Challenge

Hi @joao_schapke,

You will get an environment variable AICROWD_PREDICTIONS_OUTPUT_PATH having absolute path to location at which json file need to be written.

Example from starter kit here.

View post 0

Cannot upload my model's weights to GitLab - filesize too large

Thanks for the inputs, I have added git for windows in the FAQ above.

We had cases where people wanted to upload files in GBs, due to which timeout was increased/removed. I will go through the current value and set it to a better value.

View post 0

Instructions, EDA and baseline for Food Recognition Challenge

HI @joao_schapke, please use git lfs clone <repo> / git lfs pull command in your above repository as Nikhil also mentioned. Do let us know how it goes and if the problem continues.

View post 0

Cannot upload my model's weights to GitLab - filesize too large

Hi @leandro_a_bugnon,

Are you facing the error file size too large or the git-lfs is getting stuck for upload?

In case of file size too large, please go through How to upload large files (size) to your submission.

View post 0

Instructions, EDA and baseline for Food Recognition Challenge

Hi @shraddhaamohan,

Thanks for notifying about it. The Dockerfile for the baseline was dependent on https://github.com/open-mmlab/mmdetection repository’s master branch which is broken right now. We have updated the baseline repository point to a stable release version now.

View post 0

Submission confusion. Am I dumb?

@shraddhaamohan Sorry for the confusion above, looks like you were submitting the baseline solution as it is, and this is bug in the same, instead of something you committed. We are updating the baseline with above fix.

View post 0

Submission confusion. Am I dumb?

I can confirm that GPU is available for evaluations if you have used gpu: true in your aicrowd.json, and they were not removed at any point. In case someone is facing launching GPU in their submission, please share your submission ID with us so it can be investigated.

@shraddhaamohan, in your submission above i.e. #27829, your asset was assert torch.cuda.is_available()==True,"NO GPU AVAILABLE" which wasn’t showing full issue.

I tried to debug it on your submitted code, and this was happening:

>>> import torch
>>> torch.backends.cudnn.enabled
True
>>> torch.cuda.is_available()
False

aicrowd@aicrowd-food-recognition-challenge-27829-38f8:~$ nvidia-smi -L
GPU 0: Tesla K80 (UUID: GPU-cd5d75c4-a9c5-13c5-bd7a-267d82ae4002)
aicrowd@aicrowd-food-recognition-challenge-27829-38f8:~$ nvidia-smi
Tue Dec 17 14:19:22 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.79       Driver Version: 410.79       CUDA Version: 10.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla K80           Off  | 00000000:00:04.0 Off |                    0 |
| N/A   47C    P8    30W / 149W |      0MiB / 11441MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

We further found this is happening because the underlying CUDA version we provide to submissionos was 10.0 and submissions are evaluated with docker image “nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04”. While in your submission you have custom Dockerfile which was trying to run with pytorch/pytorch:1.3-cuda10.1-cudnn7-devel, leading to above no GPU found assert.

Finally, the diff for your existing v/s working Dockerfile is as follows:

--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
-ARG PYTORCH="1.3"
-ARG CUDA="10.1"
+ARG PYTORCH="1.2"
+ARG CUDA="10.0"
 ARG CUDNN="7"

 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
@@ -17,6 +17,7 @@ RUN conda install cython -y && conda clean --all

 RUN git clone [removed-name] /[removed-name]
 WORKDIR /[removed-name]
+RUN git reset --hard c68890db5910eed4fc8ec2acf4cdf1426cb038e9
 RUN pip install --no-cache-dir -e .
 RUN cd /

The repository you were cloning above was working the last time your docker image was built i.e. Dec 10, and some of the commit currently in master branch has broke pip install. We will suggest to use versioning in your future submission so inconsistent state doesn’t occur on re-build/re-run.

I have shared the new error traceback in your submission’s gitlab issue above (after GPU assert went fine).

tl;dr I tried running your exact codebase with pytorch/pytorch:1.2-cuda10.0-cudnn7-devel base image & above Dockerfile diff. It seems to be working fine after it. Let us know in case there is any follow up doubt.

View post 0

10 Test Topics link

Hi, it works now!

View post 0

10 Test Topics link

cc: @Ivan_Eggel for looking into it.

The page referred above is: https://www.imageclef.org/system/files/ImageCLEF2020-test-topics.pdf

And the link is present in overview section here: https://www.aicrowd.com/challenges/imageclef-2020-lifelog-lmrt#topics-and%20ground%20truth%20release

10 test topics for LMRT Tasks are released under this link.

View post 0

Problem: Registering for LMRT

@BIDAL-HCMUS, we add challenge into your AIcrowd profile page after 1st submission is made for that challenge. I hope this clarifies your doubt.

View post 0

Internal Server Error

Hi everyone,

The issue is now fixed and all the pending/failed submissions have been evaluated.

View post 0

Need to download datasets is necessary? or else any other way

Yes, you will need to download the dataset for training your model which can finally predict values for the test dataset.

BUT you can use our starter kit present here: Baseline - FOODC and click “Open In Colab” to run it completely online, by using Colab you wouldn’t need to download/install/run anything in your system, but can do it in online server directly (available as python notebook).

Let me know if I understood the question wrongly or you need any further clarification.

View post 0

Need to download datasets is necessary? or else any other way

Hi @mouli14, you are asking this question about which challenge?

View post 0

Where is the leaderboard? Submission confusion

Hi @jakub_bartczuk,

Thanks for notifying.
Let me investigate on where we went wrong and displayed the wrong link as you mentioned. I will meanwhile add quick redirection so it doesn’t cause confusion to any other participant.

Yes, my bad, updated the link in my previous comment now.

Regards,
Shivam

Update: Redirection is now active for all the problems.

View post 1

Where is the leaderboard? Submission confusion

We have concept of problems & challenges. And the problems can be used as part of multiple challenges.

The link you are referring above have it’s own leaderboard and submission queue, independent of AIcrowd Blitz submission queue & leaderboard. This was the reason why your scores didn’t reflect back.

I believe you ended up on above link, due to our recent email notification?

View post 0

Where is the leaderboard? Submission confusion

Hi @jakub_bartczuk,

Your probably made submissions directly to the problem instead of ongoing AIcrowd Blitz competition, due to which you faced missing name in leaderboard, etc.

I have assigned your submissions manually to AIcrowd Blitz challenge.

Link to problem:

Submission Link

Sorry for the confusion caused.

Regards,
Shivam

View post 0

[Important] Dataset + Problem Update

View post 0

LeaderBoard Positions

Hi @dills,

The leaderboards are now updated to reflect rankings properly.

Sorry for the inconvenience and wishing you best of luck with the challenge!

View post 0

LeaderBoard Positions

Hi @dills,

Thanks for pointing it out. We are working on fix in our leaderboard computation for same scores scenario.

It will get changed to “1” for everyone having 1.0 (n users), “N+1” for the next score and so on.

View post 0

Approval of EUA

It should not take more than 1 or 2 days. (sharing based on similar question we had on forum in past)

View post 1

Possibility of mixed teams

cc: @Ivan_Eggel for clarification.

View post 0

Dataset fails to download

Hi @herve.goeau, @Ivan_Eggel,

I see some queries around dataset for this CLEF challenge.
Please let us know in case AIcrowd should host the dataset on our side, we can coordinate it over email quickly.

View post 0

Unable to see files under /shared_data

View post 0

Unable to see files under /shared_data

View post 0

Evaluation Error

Hi @maruthi0506, shared the error logs on your submission.

View post 0

Randomly failing image builds - what is going on?

Hi @bjoern.holzhauer, looking into it. The error seems to be coming while apt package are being installed, I will keep you updated here.

View post 0

Unable to push file that "exceeds maximum limit"

Hi @ngewkokyew, @bjoern.holzhauer,

I assume the problem being mentioned here is, large files have been already commited and now no matter what you do git push rejects with above error?

If this is the case, please use the git lfs migrate command which ammend your git tree and fixes this problem. You may need to force push once this is done. https://github.com/git-lfs/git-lfs/wiki/Tutorial#migrating-existing-repository-data-to-lfs

View post 1

Unable to push file that "exceeds maximum limit"

Hi @ngewkokyew,

I remember the workspace have older git version (i assume) which don’t come with lfs, please install it using:

sudo apt-get update
sudo apt-get install git-lfs

View post 0

Submissions get killed without any error message

We are using the kubernetes cluster from organisers which have 8G base machines and AKS have quite hard eviction policy due to which it kill code as soon as it reach 5.5G.

Best might be to see if your RAM usage can be reduced by down casting variables.

Meanwhile, @kelleni2, @laurashishodia is it possible to change underlying nodes in AKS cluster from Standard_F4s_v2 to some higher RAM nodes? I am seeing OOM issue for multiple teams (3-4+ at least).

View post 0

Submissions get killed without any error message

Hi @bjoern.holzhauer,

Sorry for missing out your query earlier.

Yes the Killed is referring to OOMKill of your submission. It happens when your codebase is breaching the memory limit i.e. ~5.5G during evaluation.

The training data on the server is same as workspace except the row_id part which were changed, which I announced on the day on change.

Can you share me your latest submission ID which you think is only getting stuck due to OOM issue? I can debug it for you and share the part of code which is causing high memory usage.

View post 0

Unable to push file that "exceeds maximum limit"

@ngewkokyew Please go through this. How to upload large files (size) to your submission

View post 0

Different submission tags but same commit tag

Hi @ngewkokyew,

Are you committing your code with changes? The submissioin.sh just created submission with current git commit for you.

You will need to do:

[... make your changes ...]
git add <files/you/want/to/add>
git commit -m "Your commit message"
./submission.sh <solution tag>

Please let know in case this solves your problem.

View post 0

Challenge timelines updates/clarifications

Hi @ngewkokyew,

Please e-mail this issue to Aridhia team (servicedesk@aridhia.com) with description of issue and team name.

View post 0

UPDATE / EXTENSION: DSAI Challenge: Leaderboard & Presentation deadlines

Hi @carlos.cortes, @all,

The scores are now updated for all the submissions and new ranks are available on the leaderboard.

We were following approach to re-evaluate one, if it fails provide feedback/fix for the submission and so on, which turned out to be quite slow. Right now, we have re-evaluated all the submissions, and submissions which have failed are being provided feedback or applied automatic patches asynchronously.

All the best and, Merry Christmas!

View post 0

Evaluation Error

Sorry for the sed issue, we were trying to provided automated patch to user codes for row_id which went wrong. I have undo this and requeued all the submissions affected by it now.

View post 0

Evaluation Error

Hi @maruthi0506,

I can confirm the recent submissions failed due to OOM kill, when they touched memory usage ~5.5G.

Upon debugging #31962, I found it is happening due to Series.str.get_dummies used in the code, which is not a memory optimised function.
Point at which OOM is happening: https://gitlab.aicrowd.com/maruthi0506/dsai-challenge-solution/blob/master/predict.py#L279

This demonstrates what is happening in your submission along with alternatives which you can use (name of variable changed to hide any potential information getting public on feature used):

(suggested ways #1, decently memory efficient)
>>> something_stack_2 = pd.get_dummies(something_stack)
>>> something_stack_2.info()
<class 'pandas.core.frame.DataFrame'>
MultiIndex: 38981 entries, (0, 0) to (8690, 2)
Columns: 4589 entries,  to <removed>
dtypes: uint8(4589)
memory usage: 170.7 MB

(suggested ways #2, most memory efficient, slower then #1)
>>> something_stack_2 = pd.get_dummies(something_stack, sparse=True)
>>> something_stack_2.info()
<class 'pandas.core.frame.DataFrame'>
MultiIndex: 38981 entries, (0, 0) to (8690, 2)
Columns: 4589 entries,  to <removed>
dtypes: Sparse[uint8, 0](4589)
memory usage: 304.8 KB

(what your submission is doing -- ~5G was available at this time)
>>> something_stack_2 = something_stack.str.get_dummies()
Killed

NOTE: The only difference between two approaches is Series.str.get_dummies use “|” as separator by default. In case you were relying on it, can do something like below:

>>> pd.get_dummies(pd.Series(np.concatenate(something_stack.str.split('|'))))

Let us know in case the problem continues after changing this (here and it’s usage anywhere else in your codebase), we will be happy to debug further accordingly.

References:
[1]: https://github.com/pandas-dev/pandas/issues/19618
[2]: https://stackoverflow.com/a/31324037

View post 0

Evalution error - row id mismatch

Hi @rachaas1,

Yes the output file format generated by your code is wrong. prob_approval need to be float instead of arr[float]. Shared the current output in above link as comment.

View post 0

Evaluation Error

The solution have 8GB RAM available.

Edit: out of 8GB, ~5.5GB is available for evaluation code

View post 0

Evaluation Error

Hi, it is getting killed on running without traceback.

Does it have any high RAM/CPU need?

View post 0

Evaluation Error

Hi, looks like git-lfs isn’t installed on your system.

Can you try sudo apt-get install git-lfs. (more)

View post 0

Evaluation Error

Yes, just nltk_data folder need to be present.

Yes, the content remains same.

View post 1

[Announcement] row_id can be dynamic and different to workspace file

Hi everyone,

Please make sure that your submissions are creating prediction file with correct row_id .

The row_id was not being match strictly till the previous evaluator version and we have added assert for the same now. Due to which the submissions have failed with the row_ids in the generated prediction file do not match that of the ground_truth .

Your solution need to output row_id from testing data during evaluation and not hardcoded / sequential (0,1,2…). Also note, that row_id can be different & shuffled on data present on evaluations v/s workspace, to make sure people who have just submit predictions csv (instead of code) fail automatically.

We are trying to apply automatic patch wherever possible, but it need to be ultimately fixed in solutions submitted. Example patch is present here.

View post 0

Evaluation Error

Hi @maruthi0506,

Yes, the row_id i.e. 5,6,7 in test data provided to you on workspace can be anything say 1000123, 1001010, 100001 (and in random order) in test data present on the server going forward, so we know predictions are being carried out during evaluation.

To use nltk for the evaluation, you need to provide ntlk_data folder in your repository root, which can be done as follows (current working directory: at your repository root):

python -c "import nltk; nltk.download('stopwords', download_dir='./nltk_data')"
python -c "import nltk; nltk.download('wordnet', download_dir='./nltk_data')"

OR (assuming you already have it downloaded in workspace)

cp ~/nltk_data nltk_data

Followed by uploading it to git as:

#> git lfs install   (if not already using git lfs)
#> git lfs track "nltk_data/**"
#> git add nltk_data
#> git commit [...]

Please let us know in case you still face any issue.

View post 0

Submission Evaluation - Queued since 2 hours

Hi Shravan,

It looks like you have uploaded your prediction file i.e. lgbm.csv and directly dumping to the output path. We want your prediction model to run on the server itself and not prediction files to be submitted as solution. Due to which your submission is failed.

The row_id i.e. 5,6,7 in test data provided to you can be anything say 1000123, 1001010, 100001 (and in random order) in test data present on the server going forward, so we know predictions are being carried out during evaluation.

View post 1

Evaluation Error

Hi everyone, please make sure that your submissions are creating prediction file with correct row_id. The row_id was not being match strictly till the previous evaluator version and we have added assert for the same now. Due to which the submissions have failed with the row_ids in the generated prediction file do not match that of the ground_truth.

Your solution need to output row_id as shared in the test data and not hardcoded / sequential (0,1,2…). Also note, that row_id can be different on data present on evaluations v/s workspace, to make sure people aren’t hardcoding from that file.

We are trying to apply automatic patch wherever possible, but it need to be ultimately fixed in solutions submitted.

View post 0

Submission Evaluation - Queued since 2 hours

Hi everyone, please make sure that your submissions are creating prediction file with correct row_id. The row_id was not being match strictly till the previous evaluator version and we have added assert for the same now. Due to which the submissions have failed with the row_ids in the generated prediction file do not match that of the ground_truth.

Your solution need to output row_id as shared in the test data and not hardcoded / sequential (0,1,2…). Also note, that row_id can be different on data present on evaluations v/s workspace, to make sure people aren’t hardcoding from that file.

We are trying to apply automatic patch wherever possible, but it need to be ultimately fixed in solutions submitted.

View post 0

UPDATE / EXTENSION: DSAI Challenge: Leaderboard & Presentation deadlines

Hi @carlos.cortes,

The submissions are being reevaluated right now. Given we have large amount of submissions i.e. 1000+ successful submissions, it will take few more hours before all the submissions are reevaluated with new dataset.

View post 0

Submission Evaluation - Queued since 2 hours

Hi @shravankoninti,

This issue is resolved now, and your above submission have latest feedback i.e. newer dataset. Meanwhile other submissions by you and other participants are still in queue and being re-evaluated right now.

View post 0

Submission Evaluation - Queued since 2 hours

Yes, I think workspaces will be available to you. Please go through the announcement made by Nick here. UPDATE / EXTENSION: DSAI Challenge: Leaderboard & Presentation deadlines

View post 0

Submission Evaluation - Queued since 2 hours

Hi @shravankoninti,

Yes this condition is added with newer version of evaluator that is using the updated splitting announced here. I am looking into this and will keep you updated here.

View post 0

UPDATE / EXTENSION: DSAI Challenge: Leaderboard & Presentation deadlines

Hi @bzhousd,

Yes, the splitting approach is being changed.

View post 0

Different results from debug vs non-debug mode

Yes, the debug mode has small subset as described above.

No, the logs are not visible for successful submissions as of now in our design, but we will be glad to help in fetching logs in case of successful submission (debug mode I assume) if it is blocking you.

View post 0

Final submission selection

Hi, linking the existing unanswered thread for this question.

View post 0

Is the scoring function F1 or logloss?

cc: @kelleni2, @satyakantipudi

Please confirm policy for final scoring i.e. all submissions will be considered or the one having best score on partial dataset?

View post 0

Log Loss and F1 on Leaderboard different from "PUBLIC_F1" and "PUBLIC_LOGLOSS"

Hi, you are looking into a debug submission score. http://gitlab.aicrowd.com/wangbot/dsai-challenge-solution/issues/23#note_34783

3. The submission is reflected back on AIcrowd.com / Leaderboard with lowest possible score for given competition.

Read more about scores for debug submission here.

View post 0

Test file changed

cc: @kelleni2, @satyakantipudi

View post 0

Test file changed

Hi @carlos.cortes,

Can you tell the submission ID and where do you notice the above file? Do you mean in workspace?

View post 0

Due Date and Conference related information

Hi @student,

The deadline for AMLD participants especially was December 31.

cc: @parth_kothari, he would be able to share more information about future deadlines.

View post 0

How to add SSH key to Gitlab?

Create and add your SSH public key

It is best practice to use Git over SSH instead of Git over HTTP. In order to use SSH, you will need to:

1. Create an SSH key pair on your local computer.
2. Add the key to GitLab

Creating your SSH key pair

ssh-keygen -t rsa -b 4096 -C "name@example.com"

Example:

Adding your SSH public key to GitLab

Once you have key in your system at location of your choice. You must manually copy this and add it at https://gitlab.aicrowd.com/profile/keys.

image677×622 70.6 KB

View post 0

Which docker image is used for my submissions?

We use custom fork of repo2docker for our image build processes. The functionality of it is exactly same as upstream repo2docker, except the base image. Our Dockerfile uses following base image:

FROM nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04

How to use above?
To install forked version of repo2docker, please install it via pypi using:

pip install aicrowd-repo2docker

Example to build your repository:

git clone git@gitlab.aicrowd.com:<your-username>/<your-repository>.git
cd <your-repository>
pip install -U aicrowd-repo2docker
aicrowd-repo2docker \
        --no-run \
        --user-id 1001 \
        --user-name aicrowd \
        --image-name sample_aicrowd_build_45f36 \
        --debug .

How to specify custom runtime?

Please read about it in our FAQ question: How to specify runtime environment for your submission.

Why fork repo2docker?
It is currently not possible to use custom base image in vanilla repo2docker, and this status is being tracked here.

Read more about repo2docker here.

View post 0

How to enable GPU for your submission?

The GPUs are allotted to your submission on need-basis. In case your submission use GPU and you want to get it allocated, please use gpu: true in your aicrowd.json.

Versions we support right now:

nvidia driver version: 410.79
cuda: 10.0

NOTE: Majority of the challenges haven GPU enabled, this information should be available directly on challenge page or starter kits. In case you are not sure the challenge you are participating has GPUs, please reach out to us on Discourse.

View post 0

Submission Error AMLD 2020

Hi @student,

Are the submissions you are referring #57743 and #57745 respectively? Both of these submissions are part of leaderboard calculation. It is possible that you tried to view leaderboard immediately while we refresh leaderboard in ~30 seconds?

Your submissions:

View post 0

Can not download test data

Hi @a2821952,

The download link is working fine.
We have expiry to links generated for download, just in case you are re-using older link. So please always download by opening link directly from the resources page here: https://www.aicrowd.com/challenges/flatland-challenge/dataset_files

Let us know in case it doesn’t work out for you.

View post 0

Evaluation process

Hi @RomanChernenko,

1. Yes, the solutions are evaluated on same test samples but they are shuffled. https://gitlab.aicrowd.com/flatland/flatland/blob/master/flatland/evaluators/service.py#L89
2. Video generation is done on a subset of all environments and remain same for all evaluations. It may be possible when you open the leaderboard, all videos didn’t start playing at the same time leading to this perception?
3. This is the place where Flatland library is generating score and N+1 thing might not be the reason. I will let @mlerik investigate & comment on it.

View post 0

Evaluation time

@mugurelionut Please use 8 hours as the time limit, we have updated our evaluation phase to strictly enforce it going forward.

NOTE: Your submission having 28845 seconds as total execution time is safe with 8 hours time limit as well. Non-evaluation phase takes roughly 5-10 minutes which is included in timing visible above.

Total Time = Docker Image Building + Orchestration + Execution (8 hours enforced now)

View post 0

About the submission format

Hi @borisov,

The submission format you shared above is valid json.
You can also download sample output json from resources section on the contest page here.

View post 1