A submission for this algorithm container image for this phase already exists.

When i update my algorithms and try to submit again,it prevent me from doing this for the reason above.Can anyone help?

This is because your container is checked for a reupload by grand-challenge. You need to provide another container (different md5 sum) to try again. I've had this issue, too, but apparently the only possible fix is to change something unimportant in the container (like adding some whitespace to your python scripts) and then export the container, again.

Thanks a lot for your reply!It helps a lot.

BTW: I just emailed with grand challenge and found out that in fact I do have access to the logs and did not know about it!

So here's your traceback for your last attempt:

2022-08-23T08:54:22.079000+00:00 Traceback (most recent call last): 2022-08-23T08:54:22.079000+00:00 File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main 2022-08-23T08:54:22.079000+00:00 "main", mod_spec) 2022-08-23T08:54:22.079000+00:00 File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code 2022-08-23T08:54:22.079000+00:00 exec(code, run_globals) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 215, in 2022-08-23T08:54:22.079000+00:00 Mitosisdetection().process() 2022-08-23T08:54:22.079000+00:00 File "/home/algorithm/.local/lib/python3.7/site-packages/evalutils/evalutils.py", line 183, in process 2022-08-23T08:54:22.079000+00:00 self.process_cases() 2022-08-23T08:54:22.079000+00:00 File "/home/algorithm/.local/lib/python3.7/site-packages/evalutils/evalutils.py", line 191, in process_cases 2022-08-23T08:54:22.079000+00:00 self._case_results.append(self.process_case(idx=idx, case=case)) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 80, in process_case 2022-08-23T08:54:22.079000+00:00 scored_candidates = self.predict(input_image=input_image) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 95, in predict 2022-08-23T08:54:22.079000+00:00 result_boxes = self.inference_pic(image_data_cv2) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 110, in inference_pic 2022-08-23T08:54:22.079000+00:00 patch_result = self.inference_single_pic(patch) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 150, in inference_single_pic 2022-08-23T08:54:22.079000+00:00 input[:img.shape[0],:img.shape[1]] = normalize(img) 2022-08-23T08:54:22.079000+00:00 File "/opt/algorithm/process.py", line 140, in normalize 2022-08-23T08:54:22.079000+00:00 return ((img-mean)/std) 2022-08-23T08:54:22.079000+00:00 ValueError: operands could not be broadcast together with shapes (256,256,2) (1,1,3)

And for the new container the logs look similar:

2022-08-23T15:54:33.983000+00:00 Traceback (most recent call last): 2022-08-23T15:54:33.983000+00:00 File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main 2022-08-23T15:54:33.983000+00:00 "main", mod_spec) 2022-08-23T15:54:33.983000+00:00 File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code 2022-08-23T15:54:33.983000+00:00 exec(code, run_globals) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 216, in 2022-08-23T15:54:33.983000+00:00 Mitosisdetection().process() 2022-08-23T15:54:33.983000+00:00 File "/home/algorithm/.local/lib/python3.7/site-packages/evalutils/evalutils.py", line 183, in process 2022-08-23T15:54:33.983000+00:00 self.process_cases() 2022-08-23T15:54:33.983000+00:00 File "/home/algorithm/.local/lib/python3.7/site-packages/evalutils/evalutils.py", line 191, in process_cases 2022-08-23T15:54:33.983000+00:00 self._case_results.append(self.process_case(idx=idx, case=case)) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 81, in process_case 2022-08-23T15:54:33.983000+00:00 scored_candidates = self.predict(input_image=input_image) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 96, in predict 2022-08-23T15:54:33.983000+00:00 result_boxes = self.inference_pic(image_data_cv2) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 111, in inference_pic 2022-08-23T15:54:33.983000+00:00 patch_result = self.inference_single_pic(patch) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 151, in inference_single_pic 2022-08-23T15:54:33.983000+00:00 input[:img.shape[0],:img.shape[1]] = normalize(img) 2022-08-23T15:54:33.983000+00:00 File "/opt/algorithm/process.py", line 141, in normalize 2022-08-23T15:54:33.984000+00:00 return ((img-mean)/std) 2022-08-23T15:54:33.984000+00:00 ValueError: operands could not be broadcast together with shapes (256,256,2) (1,1,3)

Wow，thanks a lotttttt! I will try to fix the problem as soon as possible.It's so kind of you!

I've submit my docker successfully,but i made a mistake and made a contrary of the x and y coordinate.Could you give my another chance to submit my docker? Or I can just for until tomorrow.

Hey,

this is a very common mistake - glad that you've spotted it rather fast :-)

Unfortunately, you will have to wait until tomorrow for the next evaluation, as others had to, too.

Best,

Marc

Get it.Thanks for your reply~

shall we resubmit the decription paper of our job after the workshop?