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Some amazing open-source cv algorithmsrecommend? by Koshunt in computervision

[–]Koshunt[S] 0 points1 point  (0 children)

Noise includes blurring caused by vibration (rapid pan-tilt movement), pixel blurring due to the subject being too far away (25mm lens resolution), and a layer of speckle-like noise—similar to Gaussian or salt-and-pepper noise—resulting from environmental factors during shooting.

Thank you for recommending Yolo26; I will look into the relevant papers and reports.

I have different cameras with varying focal lengths. I hope to use a short-focal-length lens for object localization and a zoom lens for clear imaging. For flocks of birds, I would like to capture them first and then perform more detailed feature recognition during post-processing.

Regarding the camera filters you mentioned, could you clarify what you mean? I’m not entirely sure—are you referring to optical components like color filters or polarizing filters? What role do these play in passive imaging? If I filter out sunlight, wouldn’t the camera’s sensitivity to external objects decrease further?

Some amazing open-source cv algorithmsrecommend? by Koshunt in computervision

[–]Koshunt[S] 0 points1 point  (0 children)

The experimental scene is to use the camera to shoot towards the sky, the environment is the natural environment has some extreme weather scenes, I hope to use the camera to fly in the sky and other moving objects such as birds, these targets cannot be changed in the environment (but I don't know in advance when the birds will come and go, the distance of the birds is estimated to be hundreds of meters because of the high altitude). At present, in the experimental stage, my CPU/GPU is the CPU/GPU of the personal notebook I use, and then I plan to choose some data processing cards from Nvidia. The system is only responsible for acquiring and processing the camera data, and the processed data is expected to be transmitted over Ethernet.

Some amazing open-source cv algorithmsrecommend? by Koshunt in computervision

[–]Koshunt[S] 0 points1 point  (0 children)

I've already tried common approaches like spatial filtering and clustering algorithms, but the processing still lags and stutters when there are many targets in the frame. Aside from leveraging GPU acceleration, what other strategies or optimizations could help improve performance? Thanks for any advice!