Inference on video
Opened this issue · 9 comments
Hi, Thanks for the amazing work. I was wondering if there is a way to test it on user-passed video as input. Please highlight the steps to run inference.
Thanks.
I'd also be interested in this, I tried to use the existing code to run one of my own videos, but the results were basically noise - hopefully I just did something wrong!
@danielcrane just use transnet v2, it's very easy to use the pytorch version
@danielcrane just use transnet v2, it's very easy to use the pytorch version
@eisneim Indeed yes I'm currently making use of that, it's very good, just wanted to test performance differences!
@danielcrane just use transnet v2, it's very easy to use the pytorch version
@eisneim Indeed yes I'm currently making use of that, it's very good, just wanted to test performance differences!
@eisneim ,well I use transnet v2 and autoshot both for my own dataset , but I find noise and misjudge for gradual transition ,do you know how to fix it?
@lrbk for long transitions i found no solutions, so what i did is cut them manually; but for the most part TransnetV2 is saving me a lot time
@lrbk for long transitions i found no solutions, so what i did is cut them manually; but for the most part TransnetV2 is saving me a lot time
@eisneim I follow the training instruction of TransNetV2, but i found some problem with gin and its config parameters.Could you tell me which version of gin and other library you used?
@lrbk for long transitions i found no solutions, so what i did is cut them manually; but for the most part TransnetV2 is saving me a lot time
@eisneim I follow the training instruction of TransNetV2, but i found some problem with gin and its config parameters.Could you tell me which version of gin and other library you used?
Hello, I am also trying to copy the training of transnetv2. Have you succeeded? Are there any special configurations that need to be paid attention to?
i didn't do any training, just use the pretrained weights
i didn't do any training, just use the pretrained weights to find cut point and divide the video into small parts