visda-2018-public's People
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neelakaushik stes jdc08161063 chrisliu54 lianqing11 britefury andrewbo29 navdeepkaushish tahsin314 wmywj ibragim jiaojiao-chen aif2017 canqin001 jiaminglin michaelcaohn dltlqqns mjnunu dazhangyu123 c1enyang rxtan2 stratomaster31 leezhp1994 liujiaocv shounakc6 gaofei tuanrpt yongyongshanxi xinzhang525 allen763 123523545443512525 xiaoxue5246 pzxocsvisda-2018-public's Issues
Error: source file does not contain the same number of elements as truth file.
when I submit a result file, this error occurs. but my submission contains 53343 lines which is the same as that image_list.txt
file in test
folder.
request for initial model
Nice work!
But some initial model required in your code is not provided, such as ssd512_vgg16.pth
in this line:
Hope all required initial models of this repo be exposed soon.
what is the difference between score and mean accuracy?
Use of COCO training data
In the rules the COCO (target) training data is not mentioned anywhere. Are we to allowed to train our domain adaptation algorithm on it? Without using the labels of course. Or is it to compare the domain adaptation model to a model trained on the target training dataset?
Invalid images in detection track test set
I have started working with the detection track test data and I have discovered that the following images cannot be read due to having 0 bytes:
1cfb9a9ecd9f7e4c4c1b9eefb355c58d04741521.jpg
3839e4552f8dc074debcae3bb23e3d344fadc2f5.jpg
6720e49dafc58027896c079dcf31c65e623c526c.jpg
89ee19843ddcaf1bcdb12b19e10ca9245658f8da.jpg
97f07801bfd70c8f5c13e99207eeeec244b39e2a.jpg
b42a52991fc7960823246409930153dc80d1475e.jpg
d0c12a8136c25fbba435a478e618303bb7e52158.jpg
efb57473c96028f06c3bc55648797e4089fe363f.jpg
f41b0275980fee7ed76bbd6eb7c0c4758d7c5616.jpg
As a work around, I can skip them for now and produce empty predictions for them in the predictions file.
My submission's status is submitted for a lone time
I have started working with the detection track. This morning I submitted a results file. However, after 2 hours my submission status is still submitted and no scores are shown. I wonder if it's normal and how long does it usually take for the server to evaluate the results. Thanks!
#Detection Track# Submission failed due to out-of-service platform
I submit a zip file just now, which strictly followed your instructions, but I got the error message above from the coda competition platform.
I then tried several times and got the same error.
Would it be possible for you to check whether the platform has crashed or not? @MInner @xcpeng @nkaushik1
Detection track test set contains no image_list.txt
The detection tract test data set does not contain or have an associated image_list.txt
. As a consequence, we cannot determine which file order our prediction files should use.
As a work around, I generated one using the ls
command, hoping that its sorting order is the correct one.
request for README of pytorch-ssd-mmd-coral
Hi, I run the examples/ssd/train_visda.py
script after figure out the directory(using visda18 dataset), and I came across several errors as follows:
After I run next time(without any change), I got the following error message:
When debugging, I found tensor operation buggy in the following code:
Specifically, when tensor pass throught the line above, the actual dimension is of 1d, not 2d.
I'm still puzzled about the dataset folder configuration. Hope the README file of the code coming out soon : )
Inconsistent dates on CodaLab & Task CV homepage
How to recognize textured images from plain albedo synthetic images
The training synthetic images are all plain grey albedo images. The real images are textured. Any clue on how to carryout training to recognize textured images?
Is there any license offered for the dataset?
Detection competition - unable to submit predictions to CodaLab
Hi,
I've been having difficult submitting to the detection competition. It appears that my text file format is incorrect, as I get the following error:
Traceback (most recent call last):
File "/tmp/codalab/tmpxfH0zT/run/program/evaluate.py", line 438, in
detection_evaluation(truth_file, source_file, adaptation_file, output_file)
File "/tmp/codalab/tmpxfH0zT/run/program/evaluate.py", line 363, in detection_evaluation
for line in f.read().splitlines()
File "/tmp/codalab/tmpxfH0zT/run/program/evaluate.py", line 21, in chunks
raise RuntimeError("Sequence does not split into {k}, because last elem has {elem.index(uniq)} left")
RuntimeError: Sequence does not split into {k}, because last elem has {elem.index(uniq)} left
Would it be possible for you guys to either:
- provide an example submission file that the server can handle
- provide code to generate a valid submission file
- provide the source code of 'evaluate.py' that runs on the server
- modify the evaluation code so that it reports more helpful error messages
Thanks! :)
Something wrong with the result board
Hello,
I find something wrong with the result board shown at the end the following page: https://competitions.codalab.org/competitions/19113#results
It seems that the board shows the lowest score rather than the highest score?
Best,
Yuming
[Request] coco17-val.txt
Thank you for releasing the codes!
https://github.com/VisionLearningGroup/visda-2018-public/blob/master/detection/pytorch-ssd-mmd-coral/train_visda_source.py#L77
Like this, all of the scripts assume the existence of coco17-val.txt
.
Is it possible to share coco17-val.txt
in addition to coco17-val-names.txt
?
Or, should I extract it manually?
[open set domain adaptation] Use test image when training
Can we use test image when training the domain adaptation model?
Detection ground truths don't match the coco17 validation ground truths
Hi,
I have been taking a look at the ground truths that you've provided for the detection competition. I have noticed that the GT boxes in the val_ground_truth.pkl
do not match those in coco17-val.txt
; it seems that they have been scaled. A consistent x,y scale factor is used for each image, but I am unable to determine the pattern/algorithm used to compute the scale factors. Would it be possible to replace val_ground_truth.pkl
with a file generated by direct conversion?
I have created a pull request (#11) that adds a conversion script (in case you're interested) and also changes the detection README slight in order to clarify the first problem that I had concerning format :)
Where to find the test data for detection track
As stated in the title, I cannot find any link to the test data of detection track. And I notice that the ReadMe file in detection folder has not been updated for several days. Could you give me some help for accessing to the test data of detection track? Thanks.
where is the knife class?
at https://competitions.codalab.org/competitions/19113#results , there are 13 classes but with two horse! and knife is missing......
synthetic
I want to build my dataset for object detection.
which program is suitable to do that. e.g save bounding box positions , randomize objects...
How to download CAD models?
As reported in the .pdf: https://arxiv.org/pdf/1806.09755.pdf :
"We [...] fully open sourced our 3D model collection"
How can I download just the CAD models, rather than the rendered images?
can we submit abstract now?
sorry to miss the ddl.
I have just noticed this:
participants are requested to submit a 2-page abstract directly via email to visda-
[email protected], **within 1 week of the challenge end.**
can we submit abstract now?
Have not noticed the deadline of submitting the form.
Dear Visda organizers,
I have not noticed that we need to submit the google form https://goo.gl/forms/G6Kl7OuUVg1BvbRu1 before Aug 25th, I am wonder if i still can submit this form?
Sorry for my carelessness, hope you can give me this chance.
Best Regards,
Qing Lian
Sample submission files
Could you please provide a sample submission file? I am not sure how are you calculating the classification accuracy and writing those accuracy in files.
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