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TwitchDropsMiner is a desktop application that automates earning timed Twitch Drops by simulating “watch” activity without actually streaming video, letting users collect rewards while saving bandwidth and attention. It works by periodically fetching stream metadata to advance Drops progress, while maintaining a websocket connection to monitor which channels are online, offline, or changing status. The app is designed to reduce manual babysitting by switching channels automatically when a...

...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.

This is a very useful tool for Chinese users with less computer skill watching Foreign movies easier. It automatically find movie subtitle from share sites (e.g. www.shooter.cn) and config them ready for watching.

...CompareV2 perform the fingerprints comparison and works in memory with constant memory usage. It is folder agnostic and parse fingerprints ordered by source file name. Since 201906 in free Pascal for x3 speed and less memory usage in multi-threading. . 3h_analyse is folder agnostic by first loading in memory current source and image folder. Then a lot of options and cache mechanism enable to get correct performance. At the end all duplicates are copied in an analysed folder. . To finalise you'll have to look at analysed folder to make your decisions : remove duplicate, flag some images as irrelevent or flag pair of videos as NOT dupes.