OmaQzy's starred repositories
Deep-OC-SORT
https://arxiv.org/abs/2302.11813
playground
Play with neural networks!
SmsForwarder
็ญไฟก่ฝฌๅๅจโโ็ๆงAndroidๆๆบ็ญไฟกใๆฅ็ตใAPP้็ฅ๏ผๅนถๆ นๆฎๆๅฎ่งๅ่ฝฌๅๅฐๅ ถไปๆๆบ๏ผ้้็พค่ชๅฎไนๆบๅจไบบใ้้ไผไธๅ ๆบๅจไบบใไผไธๅพฎไฟก็พคๆบๅจไบบใ้ฃไนฆๆบๅจไบบใไผไธๅพฎไฟกๅบ็จๆถๆฏใ้ฎ็ฎฑใbarkใwebhookใTelegramๆบๅจไบบใServer้ ฑใPushPlusใๆๆบ็ญไฟก็ญใๅ ๆฌไธปๅจๆงๅถๆๅก็ซฏไธๅฎขๆท็ซฏ๏ผ่ฎฉไฝ ่ฝปๆพ่ฟ็จๅ็ญไฟกใๆฅ็ญไฟกใๆฅ้่ฏใๆฅ่ฏ็ฐฟใๆฅ็ต้็ญใ๏ผV3.0 ๆฐๅข๏ผPS.่ฟไธชAPKไธป่ฆๆฏๅญฆไน ไธ่ช็จ๏ผๅฆๆBUG่ฏทๆISSUE๏ผๅๆถๆฌข่ฟๅคงๅฎถๆPRๆๆญฃ
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
interpretable-ml-book
Book about interpretable machine learning
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
SiamCAR-CAM
You can refer to the code provided here to draw a heat map of single target tracking classification output
SoccerNetv2-DevKit
Development Kit for the SoccerNet Challenge
unetr_plus_plus
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
toolkit-legacy
Visual Object Tracking (VOT) challenge evaluation toolkit
Mobile-SDK-iOS
DJI Mobile SDK for iOS: http://developer.dji.com/mobile-sdk/
Mobile-SDK-Android-V5
MSDK V5 Sample
SOTDrawRect
You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.Moreover, the author will update some of the problems in the pysot-toolkit toolkit from time to time.
ml-visuals
๐จ ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.