Comments (2)
This definitely sounds good :) I had actually planned including such a smoothing feature (2.a) from the start but dropped it because I couldn't get it to work properly and had other priorities when implementing the project as a whole. Now that most other things work, this is IMO the most important TODO again. #11 could partially solve this, but I'm not yet sure how effective it is and how it would perform against 2.a and 2.b.
Contributions in this domain are very welcome.
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I might contribute but not sure if in Python. I could use some middle layer data and process them with a Kotlin utility, giving back more middle layer data. That can later be translated to Python if needed. That I could do after the summer holiday, unless you come up with something better in the meantime (which is likely :) )
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Related Issues (20)
- Enhancement Suggestion: add timespan(s) option HOT 1
- Doesn't seem to use hardware acceleration despite it being available HOT 2
- cuda_path is set but cuda wasn't able to be loaded HOT 6
- Feature Request: Add support for Coral TPU HOT 1
- Consider switching model to centerface_bnmerged.onnx HOT 1
- OpenVino for onnxruntime-openvino HOT 3
- Error when entering images of different sizes HOT 4
- Limit mask size to filter out unrealistic false positives HOT 3
- (Question) use with live streams (rtsp)
- Output has no audio HOT 1
- [macOS] Could not open file <file> as a video file with imageio HOT 1
- select faces to not be blurred HOT 10
- Videos are sped-up when anonymized HOT 2
- Failed to load library libonnxruntime_providers_tensorrt.so with error HOT 1
- [macOS] RuntimeError: Could not get number of frames HOT 2
- Request: GUI and/or mobile apps HOT 5
- Add tracking as well as detection to improve speed
- executing in windows cmd HOT 1
- Set output postfix for processing directories HOT 1
- Set mosaic as percentage of face size HOT 1
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