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  1. M

    Bokeh Effect Rendering Challenge

    Have some questions on the final scores. On the codalab page, the score function would be like this. However, it don't seem like the final scores are coming from the function. e.g. 2^( 2 * 2.6 ) /28.1 = 1.308 (not 74) 2^( 2 * 3.5 ) /89.3 = 1.433 (not 28)
  2. M

    Bokeh Effect Rendering Challenge

    Has the draft of the challenge report been released?
  3. M

    Learned Smartphone ISP Challenge

    Submission ID : 162072 Username : MinsuKwon It looks like my tflite model for track 2 was reported in the result table. Please find the email for more details about the issue!
  4. M

    Bokeh Effect Rendering Challenge

    1. There is no instruction regarding the fixed input size even though the final phase has been started. And no instruction for tflite as well. 2. It looks like it is not necessary to submit result images. Right? Thank you
  5. M

    Learned Smartphone ISP Challenge

    How is the submission supposed to be when I am participating in both track1 and track2.
  6. M

    Learned Smartphone ISP Challenge

    @Andrey Ignatov Hi, we are Enerzai research team and has a question. One of our solution used channel-wise attention with global average pooling and found that it induces a huge increase in latency. And that's why our one solution has very large latency. (We checked that removing the...
  7. M

    Real Image Denoising Challenge

    Okay got it! Thanks a lot
  8. M

    Real Image Denoising Challenge

    I just found the runtime sheet https://docs.google.com/spreadsheets/d/e/2PACX-1vQ-pjVpm0RXORsxP1JIAfX-IW9Hyn4jYCe-n515L08fEmAbbZ2fWntgZS5uigJos9gawt2-0bq1pLRa/pubhtml has been updated. Submission ID 833803 got runtime error even the model ran on my galaxy S21 (Exynos 2100) with all settings...
  9. M

    Real Image Denoising Challenge

    I guess the runtime measurement is extremely inaccurate. I got the 4x slower result even when I submitted the same model.
  10. M

    Real Image Denoising Challenge

    Thank you very much!! It seems working.
  11. M

    Real Image Denoising Challenge

    Thank you for response! https://github.com/aiff22/MAI-2021-Workshop/blob/main/tensorflow_to_tflite.py Here, with the official tflite converter code, I've just replaced the place holder like you said. x_ = tf.compat.v1.placeholder(tf.float32, [1, None, None, 3], name="input") However, the...
  12. M

    Real Image Denoising Challenge

    Dear organizer, It is hard to understand how the tflite model for [1, None, None, 3] input could be made since only the tflite models with "static size input" work on mobile GPUs. Also, the resize_bilinear function requires the shape of a resized tensor. What about submitting the tflite model...
  13. M

    Real Image Denoising Challenge

    Hi! I thought test dataset would be the size of 480 x 720 as you mentioned above. But the test dataset shape is the same as validation dataset (the first dataset we used). Could you please tell us what happened?
  14. M

    Real Image Denoising Challenge

    Will the test inputs be released? If it is released, some could make denoised images with a very large network and use them for training small networks.
  15. M

    Real Image Denoising Challenge

    Thanks ! Does the evalution system measure the latency if I submit a tflite model?
  16. M

    Real Image Denoising Challenge

    What is the shape of input for the tflite model? Is it 1 x 2432 x 3200 x 3 ?
  17. M

    Monocular Depth Estimation Challenge

    I get an error like this in the performance evaluation. Even when I submit with the depth png in the train set, I get the same error. I guess there is something wrong in the evaluation system. WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory...
  18. M

    Learned Smartphone ISP Challenge

    I got the shape of the input 1. Does Input come in like the following?( as described in the sample code) ch_B = raw[1::2, 1::2] ch_Gb = raw[0::2, 1::2] ch_R = raw[0::2, 0::2] ch_Gr = raw[1::2, 0::2] RAW_combined = np.dstack((ch_B, ch_Gb, ch_R, ch_Gr)) RAW_norm =...
  19. M

    Real Image Denoising Challenge

    The evaluation system has been stopped with the message "Warning: The compute queues are congested, please wait for existing jobs to process before submitting more. Thanks for your patience!". I have been waiting for a long time but it still doesn't work.
  20. M

    Monocular Depth Estimation Challenge

    Could you share a score of a baseline model?
  21. M

    Real Image Denoising Challenge

    Hi, I have a question regarding the input image. Is a tflite model required to work on images with different shapes? Is it enough to work with 3000x4000 images like the images in the given data? Thanks.
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