All questions related to Learned Smartphone ISP Challenge can be asked in this thread.
My codalab website is blank, please help me.
Thanks, it's the network problem, it shows up normally after I use VPN.Strange, can you try to reload the page or change your web browser? You should see the following screen if everything is okay:
Hi, the link to the validation dataset is not found!
In the score calculation formula for track 1, is the runtime measured in seconds?
For track 2, is the MOS obtained by comparing the subjective similarity with the GT, or by comparing the different submissions with each other?
I got the same error. Can someone provide a solution?My submission is in proper format but it failed. Can you please check? Username is terra. The error log is as follows:
WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
* daemon not running; starting now at tcp:5037
* daemon started successfully
Execution time limit exceeded!
me too.I got the same error. Can someone provide a solution?
All questions related to Learned Smartphone ISP Challenge can be asked in this thread.
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 "/tmp/codalab/tmpC977Vs/run/program/evaluation.py", line 95, in
raise Exception('Expected %d .png images'%len(ref_pngs))
Exception: Expected 3145 .png images
'shape': array([1, 1, 1, 4], dtype=int32), 'shape_signature': array([ 1, -1, -1, 4]
# convention piepline
model = build_inference_model(shape=(None, None, 4), batch_size=1)
# get keras model with input shape (1, None, None, 4)
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
open(save_path, "wb").write(tflite_model)
...
# inference piepline
interpreter = tf.lite.Interpreter(
model_path=args.model_file,
)
interpreter.allocate_tensors()
input_details = interpreter.get_input_details()
print(input_details)
# get [{'name': 'serving_default_input_1:0', 'index': 0, 'shape': array([ 1, 1, 1, 4], dtype=int32), 'shape_signature': array([ 1, -1, -1, 4], dtype=int32), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}]
Ahahah, I have not noticed the following fact:@Andrey Ignatov I am trying to create a submission
I have dot the data from validation set (MAI2021_LearnedISP_valid_raw.zip) preprocessed it using my network and put it into archive.
And I've got 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 "/tmp/codalab/tmpC977Vs/run/program/evaluation.py", line 95, in raise Exception('Expected %d .png images'%len(ref_pngs)) Exception: Expected 3145 .png images
What is 3145 images? There is only 2258 images in the Validation Set. https://data.vision.ee.ethz.ch/ihnatova/MAI2021_LearnedISP_valid_raw.zip
At the testing phase, the leaderboard will not show a specific score. Since we will download all the participants’ submissions and evaluate them on our devices, please ignore the “Failed Status” on CodaLab.
When will the ground truth RGB images of validation data be available?
- validation data: the participants will receive the RAW images when the validation phase starts to get online feedback from the validation server; the corresponding ground truth RGB images will be released when the final phase of the challenge starts.
When will the ground truth RGB images of validation data be available?
Ahahah, I have not noticed the following fact:
Yes, that's correct,'shape': array([1, 1, 1, 4], dtype=int32), 'shape_signature': array([ 1, -1, -1, 4]
None
dimensions are replaced with -1
.1. When will the preliminary test results be released?
- 02.08.2022 Preliminary test results release to the participants
- 10.08.2022 Paper submission deadline for entries from the challenge (AIM workshop @ ECCV 2022)
Are there any detailed instructions about paper submission?
Not yet@Zevin Have any results been announced?
Instructions are at the following link : https://data.vision.ee.ethz.ch/cvl/aim22/