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System information (version)
- OpenCV => 4.1.0 (master head) (old 4.0.0 snapshot completes successfully in identical environment)
- Operating System / Platform => armhf Debian Stretch (raspberry p…
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##### System information (version)
- OpenCV: 4.3.0
- Operating System / Platform: Raspbian 8.3.0
- Compiler: gcc 8
##### Detailed description
Please excuse me if I am misunderstanding somet…
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hello,
The 1.4 version doesn’t seem to support macOS Catalina. (10.15.4)
The application closes immediately.
Thanks!
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### I am following the compilation process of this project, in the last step on 3
…
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Traceback (most recent call last):
File "/home/cbl/PycharmProjects/Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model/main.py", line 155, in
predictions = m.predict_gen…
ghost updated
5 years ago
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The provided saliency map 0557 in ECSSD dataset has a resolution of 617*464. The original image, however, has a size of 400*299. How could I compute the F score and mae?
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Hi, I successfully run it on the samples images using your pretrained model. Now i'm trying to retrain the models using your code but get this error:
Using Theano backend.
/home/kntu/anaconda3/lib/p…
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Very great work!
Is there an expected release date?
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Running the code using the training guide in the readme
CUDA_VISIBLE_DEVICES={GPU} python train.py -f exps/SCOPS_K8_retrain.json
raise the following error after the download of the pretrained Re…
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Hi,
I still have this error even though I've edited my Keras.json file according to solved issue with the same problem.
I got this:
(venv) parallels@parallels-Parallels-Virtual-Platform:~/Salie…