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did you put the three .tflites in TFLite/ folder?

that mean no need to submit the factsheet and models folder?

what is the difference between the runtime submission guidelines and final submission guidelines?

I have the same questions. Is that refer to the clip layer (which act as minimum and relu layer after quantised)? That's why I asked whether the final official influence code contain an np.clip function for the output or not? If yes, we can remove the clip layer and save the time.

Hello May I know whether in the final official influence code contain an np.clip function for the output or not? If not, we need the clip layer in our model, and this cost us more 8ms in total. It may be better to clarify it as it may signifianct affect the runtime. Thanks a lot.

Yes I do think so, since 360,640 is for testing speed. Congrats. I saw u achieved a nice score. May I know how you submit the zip file? Do you zip the 100 sr images naming 0801.png.etc, and the file is like over 300MB right? Because I always get an error during the submission and am frustrated...

Do you uplaod the 100 sr pngs and run the evaluation by the platform successfully? I always have this error. 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...

May I know how you guys upload the zip? I upload 100 sr images from 801 to 900.png with readme and tflite. However, I get an error every time.

Thanks for reply. Is that the PSNR value are measured based on the uploaded 100 sr images or influenced once again from the tflite online? Also, is that the standard range of input images for the model should be 0,255 instead of 0,1? When I submit the zip file, there is an error. WARNING: Your...

Hello, for the submission I got a problem. I notice that the online system has 30MB upload limitation. How can u submit the full size sr images, which cost 300MB?

Thanks. But I notice that the online system has the 30MB upload limitation. How can u submit the full size sr images, which cost 300MB?

Hello, May I know how can I upload the sr images, the whole zip is almost 300MB? Also, the name of the image should be 801x3.png or 801.png? Thanks.

Hello, Do you find the way to upload the sr images?

Do you mean the 100 inference results are SRed images? I have the same problem.

Hi Lishen May I know that do you use the demo https://github.com/aiff22/MAI-2021-Workshop/blob/main/fsrcnn_quantization/fsrcnn.py to develop? I notice that the quantization part in that demo for the input size is fixed (TFLITE_MODEL_INPUT_SHAPE = [1, 360, 640, 1])? Do you know how to change it...

Hello I used the standard code provided in github. When I used the DIV2K test set to test the tflite model, some images do not meet the requirement of 360x640. Is it ok for us to not test those images when we submit the sr images package?