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View Code? Open in Web Editor NEWRobust video watermarking with non-differentiable adversaries.
License: MIT License
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gongchensz chrisedward bradley16 wh-forker quantum-soul chaobingya wangjun9276 thankspei denis19973 viddik13 mbencherif hst45 engineerlion tabishkhan96 liamdgray avon-c in12hacker booyoungxu 0x0all rampenke hmzbox miljkovn meisa233 z1176893827 fastrocket zhongshiqin iq-scm myechona makrisjr kangkang999 hubin858130 zhangtalent ed0wolf erroremang paperwave dxyy2019rivagan's Issues
Moments_in_Time_Mini.zip can't download.
- RivaGAN version:
- Python version:
- Operating System:
Description
When I execute bash download.sh.
http://data.csail.mit.edu/soundnet/actions3/split1/Moments_in_Time_Mini.zip
The link looks invalid
What should I do and what links need to be replaced？
What I Did
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
how to extract the data from the watermarked video ?
- RivaGAN version:
- Python version:
- Operating System:
Description
The extracted watermark information is a string of numbers of type Float32
How to check whether the extracted watermark is correct
part of outputs are like this
What I Did
[array([-0.22932515, -0.05714366, -1.2726792 , -0.05257967, -0.10511999,
-4.496194 , -0.72906655, -7.0054197 , 1.2017044 , -0.07988264,
-0.554625 , -0.38207918, -0.37821755, -0.23825747, -0.06544079,
-0.18358664, -1.1621505 , -0.04027031, -1.3203971 , -0.04445288,
-0.02693273, -0.04580238, -0.09852732, -0.7537201 , -0.8482291 ,
-0.05759114, -0.9152253 , -0.15124811, -0.69108665, -1.4571815 ,
-0.08187085, -0.03920848], dtype=float32), array([-0.2196667 , -0.0540536 , -1.5967504 , -0.04509218, -0.10601447,
-3.8246827 , -0.8229772 , -7.316689 , 1.1962031 , -0.07542385,
-0.47025478, -0.42007202, 0.04247466, -0.1553794 , -0.05957376,
-0.12692125, -0.99911606, -0.01197424, -1.931857 , -0.04010678,
-0.0247244 , -0.04174514, -0.09097901, -1.3404232 , -0.8031849 ,
-0.05421488, -0.9168243 , -0.16437075, -0.63380903, -1.4590236 ,
-0.07584139, -0.0354542 ], dtype=float32), array([-0.21605897, -0.05655681, -1.5917764 , -0.04962874, -0.10279732,
-3.9548905 , -0.85447276, -6.641722 , 1.4988332 , -0.07171236,
-0.58976734, -0.4822218 , -0.5583661 , -0.44414252, -0.06283236,
-0.04334006, -0.9056364 , -0.02996331, -1.5311664 , -0.03888033,
-0.02365516, -0.04321809, -0.08855483, -1.3248276 , -0.70889914,
-0.0529329 , -0.914947 , -0.02763503, -0.58799237, -1.4167793 ,
-0.07745175, -0.03598158], dtype=float32), array([-0.21729237, -0.06073643, -1.7749408 , -0.05128128, -0.10150994,
-3.647244 , -0.9945726 , -6.587243 , 1.1882725 , -0.07274818,
-0.70474637, -0.2876239 , -0.6520075 , -0.2658491 , -0.06356473,
-0.10729884, -0.8362877 , -0.02482117, -1.4181769 , -0.03995933,
-0.02395962, -0.04428652, -0.09166634, -1.2472842 , -0.91013485,
-0.05398247, -0.73910624, -0.01726682, -0.67850876, -1.2625008 ,
-0.07508389, -0.03764728], dtype=float32), array([-0.21252002, -0.05803272, -2.0322752 , -0.05201769, -0.10255759,
-3.801908 , -0.960667 , -5.9786286 , 1.2340491 , -0.06969828,
-0.7945951 , -0.36546695, -1.2804725 , -0.16977169, -0.06502119,
0.04623017, -0.78163105, -0.01119128, -1.1249161 , -0.0384632 ,
-0.02465068, -0.04448389, -0.08820156, -1.0601249 , -0.8741142 ,
-0.05270627, -0.7521928 , 0.03751253, -0.57171124, -1.1868995 ,
-0.07276401, -0.03677569], dtype=float32), array([-0.22099555, -0.06090005, -1.6498708 , -0.05538905, -0.10977125,
-3.8797262 , -0.68402606, -6.6135855 , 1.1882415 , -0.07178833,
-0.7655401 , -0.5266853 , -0.8798227 , -0.19440982, -0.06883975,
0.03872593, -0.6610789 , -0.03265392, -1.6900032 , -0.0410734 ,
-0.02811369, -0.04813316, -0.09063462, -1.3307556 , -0.58502895,
-0.05466864, -0.6534804 , -0.21974505, -0.72906893, -1.1342072 ,
-0.07908204, -0.03858798], dtype=float32), array([-0.2232397 , -0.05757632, -1.4883542 , -0.04831245, -0.10195197,
-4.181132 , -0.581693 , -6.6753025 , 1.3174125 , -0.06622721,
-0.693849 , -0.54539883, -0.6668897 , -0.18836862, -0.06199639,
-0.03910651, -0.8918489 , -0.02746316, -1.9715004 , -0.03671256,
-0.02696823, -0.04149688, -0.08421695, -1.5544248 , -0.54859847,
-0.05067875, -0.60275084, -0.08506186, -0.6193348 , -1.1903898 ,
-0.07435871, -0.03601457], dtype=float32),
0it [00:00,? It /s] metric is "NaN"
- RivaGAN version:
- Python version:
- Operating System:
Description
Hello, I would like to ask you how to set my training set. I put avi videos in the directory "data/Hollywood2", but when I was training, all the prompt "0it [00:00,? It /s]" appeared, and the value of each metric was NaN. How can I solve this problem?
What I Did
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
Screen-Shooting？If the video images be taken photo, can decode the watermark?
- RivaGAN version:
- Python version:
- Operating System:
Description
Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.
What I Did
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
Poor performance
- Python version: 3.9
- Operating System: Linux
Description
from rivagan import RivaGAN
model = RivaGAN()
model.fit('./data/hollywood2', epochs=300, batch_size=12, use_critic=True, use_adversary=True)
model.save('./checkpoints/model.pt')
When I use this script for training, I get a few warnings as follows,
[mp3float @ 0xe49f1240] Header missing
[mp3float @ 0xe49f1240] Header missing
[mp3float @ 0xe4c01e00] Header missing
I don't know if this affects the model.
My model accuracy has been stuck at about 54%.
What I use is Hollywood2 dataset and it has been processed for successful loading.
Has anyone else experienced the same problem, or has anyone reproduced the results of the paper.
resource file download faile
the file script download.sh ,the path is not avaliable ftp://ftp.irisa.fr/local/vistas/actions/Hollywood2-actions.tar.gz ，where can get the resource
Request for trained model
Can you provide the trained RivaGan model (.pt)?
No Data folder in the root
- RivaGAN version: Latest
- Python version: 3.6
- Operating System: Windows
Description
Data folder is missing in root.
What I Did
//downloaded instead of git clone...
Bad Accuracy
- RivaGAN version:
- Python version: 3.6
- Operating System: Ubuntu18.04
Hi, I trained the model with hollywood2 according to the guideline. But I only get an accuracy of 74% when there is no modification. Did I miss anything? Thank you!
Li
No documentation?
In the Readme.md file displayed on the homepage: https://github.com/DAI-Lab/RivaGAN,
the URL for the documentation: https://dai-lab.github.io/RivaGAN is giving a "Page Not Found :(" message.
Does this support imperceptible watermark?
Video output becomes blue after encoding watermark
- RivaGAN version: Created My Own Version with few modifications
- Python version: 3.8
- Operating System: Windows 10
Description
I was trying to encode watermark into video, Video output generates with a blue layer. Is there any solution or guide to resolve this?
Thanks
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