Having a few issues and need help!

[joshuabolick]

Hello,

Mainly two quesitons, we are using PySceneDetect to detect scene changes in old VHS footage and I am having trouble getting the using of the proper combination of detectors and settings for those detectors to get it to always detect any solid color frames, static, rolling frames / vertical bars, and any other VHS artifacts. I have tried a lot of detector combinations based on reading the documentation and so far it will always miss some section of static or solid color or other VHS artifacts even if I set the detector settings to be super sensitive.

What are the best detectors and ideal settings for those detectors to achieve this?

Also using PySceneDetect should the frame count start at 0 or 1? I have been using it starting it at 0 which makes sense to me but we are integrating with another older system which I am not sure exactly how all of that is handled. For example on one video it detects a new scene cut at a certain frame, which is all black, but then the very next frame is the actual good content that I want, but I could not seem to find the right detectors / settings to use to get that to be right and give me the cut at the start of the good content frame, not the all black frame right before it.

Any help would be greatly appreciated thank you!!

[Breakthrough]

Mainly two quesitons, we are using PySceneDetect to detect scene changes in old VHS footage and I am having trouble getting the using of the proper combination of detectors and settings for those detectors to get it to always detect any solid color frames, static, rolling frames / vertical bars, and any other VHS artifacts. I have tried a lot of detector combinations based on reading the documentation and so far it will always miss some section of static or solid color or other VHS artifacts even if I set the detector settings to be super sensitive.

What combinations have you tried so far? Are there any samples you can share?

What are the best detectors and ideal settings for those detectors to achieve this?

You can find benchmark scores for each detector at https://github.com/Breakthrough/PySceneDetect/tree/main/benchmark#result using the default params. This is certainly an open area of exploration, so any input or experiences you can share are welcome. Annotated samples also help. Newer detectors being developed as part of #482 may also provide higher accuracy across a wider range of inputs.

Also using PySceneDetect should the frame count start at 0 or 1? I have been using it starting it at 0 which makes sense to me but we are integrating with another older system which I am not sure exactly how all of that is handled. For example on one video it detects a new scene cut at a certain frame, which is all black, but then the very next frame is the actual good content that I want, but I could not seem to find the right detectors / settings to use to get that to be right and give me the cut at the start of the good content frame, not the all black frame right before it.

How are you outputting the frame counts? In general using 0 or 1-based indexing is supported by most API functions already. If you're using the scenedetect command, it could be specific to the output command/format. I believe CSV output via list-scenes uses 1-based indexing, but others such as save-qp use 0-based indexing.