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Running on custom datset #6
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Hi Aakash, Stereo videos are sufficient for stereo disparity and scene flow estimation. |
HI @playerkk , Thanks for the quick reply. Yes I understand that. However just to confirm, the stereo camera calibration is required right?. |
It is assumed that two stereo images have been rectified. You can simply run demo.py with your own images. |
Hi @playerkk , yes while trying to run demo.py with given datset I am getting this error(image attached) |
Hi @aakash26, can you provide more information of your experiment environment? Especially PyTorch version. Thanks. |
Hi @playerkk, Thanks for the reply. I have attached the screenshot of my python 3.6 environment with torch version 1.3.0. Regards |
Hi @playerkk, I was looking into the error and the code. I found that the forward module defined in file SceneFlow\SENSE\sense\models\models.py expects 4 image arguments with cur_im beign the only postional argument. However, when calling the Model in SceneFlow\tools\demo.py we are only passing 3 images to the Network.
Regards |
Hi @aakash26, are you running demo.py with your own data or the provided images in this repo? Have you made any modifications to demo.py?Thanks. |
Hi @playerkk, Currently I am running on the original images provided with no changes in demo.py. I am running all the original scripts. Regards |
Hi @playerkk, I was able to make it run by giving positional keywords for each image in demo.py (screenshot attached) but the results don't seem that good. However, I wanted to understand the order in which the images are declared in the forward function, like what should be passed for cur_im, nxt_im , right_im , left_im |
Hi Authors,
Thanks on providing the code. Is it possible to run the code on custom stereo video sequences.
Regards
Aakash
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