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Hi @Andrey Ignatov , when will the testing phase end while it starts on 30 Jun 2022?

Traceback (most recent call last): File "./data/mobile_ai_2022_monocular_depth_estimation_challenge/scoring_programs/0/evaluation.py", line 116, in raise Exception('Target evaluation server is not available') Exception: Target evaluation server is not available The evaluation fails on...

Hi Andrey. I followed the instruction in the factsheet and submit the upload zip on CodaLab. But an error occurs while there's no images in the uploaded zip according to the factsheet and the email before. Could you help check the evaluation program? WARNING: Your kernel does not support swap...

No, I have no idea. Perhaps the organizer has.

I have the same error.

Hello, we find that the final ranking formula has changed from 2 ^ (-10 * siRMSE) to 2 ^ (-20 * siRMSE)。 Will this formula be the final ranking formula and remain unchanged?

The input is [1x480x640x1], so that the input is in GRAY color ?

There are some questions about the final submitted tflite model. 1. Since the resolution of the train / val data is 480x640, whether is the input of the tflite model 1x480x640x3 or 480x640x3? Whether is the input data type is float32 or unsigned int8? (We found it hard to generate a tflite...

Hi, the failed submissions are counted in the total submissions. Will the failed ones be ignored (especially those submitted when the validation server is broken) ?

Hello! I would like to know what role the runtime evaluation plays in the final leaderboard. For example, a submission with si-RMSE 0.3 and runtime 1.0s and another one with si-RMSE 0.6 and runtime 0.5s, which ranks high?

See https://github.com/numpy/numpy/issues/12744

Hi, I have just checked the two results and I did not find a difference in format. See the error code. The error is that your numpy version is too high and you should use numpy <= 1.15.0

Hi, the submitted results before can be seen on the leaderboard. But the new submitted result fails with the following error code WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. Traceback (most recent call last): File...

There are some questions about the data. 1. How does the depth generated, by radar, tof, or calculated by two cameras? 2. When I take the first glance at the depth data, I suppose it is calculated by two cameras. However, why some of the sky has the depth ground truth while other part is black?

The depth given in train data is in uint16. The depth ranges from 0 to 65536. What does the depth value mean in the real world? (Since 1 means 1 millimeter or 1 centimeter)