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Source channel @githubtrending · Post #15511 · Feb 20
#python#bytetrack#multi_object_tracking#oc_sort#sort Trackers is a simple Python library (pip install trackers) for multi-object tracking that plugs into any detection model like YOLO. Use it via CLI on videos/webcams or in Python code with trackers like ByteTrack (top performer on MOT17/SportsMOT benchmarks) to add labels and trajectories. Evaluate with MOT metrics too. Benefit: Quickly add reliable object tracking to your computer vision projects for real-time apps like traffic or sports analysis, saving time on custom code. https://github.com/roboflow/trackers
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@mdmbeng · Post #1975 · 07/04/2024, 03:23 AM
#App#CocoaPods 数百万iOS应用暴露在CocoaPods安全漏洞中 由于CocoaPods开源库的安全漏洞，数百万iOS和macOS应用程序面临潜在的供应链攻击风险。 该漏洞已存在约10年，可能使攻击者获取敏感数据如信用卡信息和医疗记录。EVA信息安全公司指出，漏洞源于开发者验证机制的不安全。 CocoaPods团队已修复漏洞，并更新了旧库的恢复程序。开发者被建议定期检查和扫描库中的恶意代码。 频道：@mdmbeng 投稿：@mdmbeng_Bot
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@githubtrending · Post #15488 · 02/13/2026, 12:30 PM
#swift#analysis#analytics#cocoapods#crashlytics#debug#debugger#debugging#hacktoberfest#layout_debugger#leak_detection#log#logs_analysis#networking#performance_analysis#sandbox#swift#swift6#ui#uikit#view DebugSwift is a comprehensive toolkit that simplifies debugging for Swift iOS apps by providing real-time monitoring of network requests, performance metrics (CPU, memory, FPS), crash reports, and app resources like keychain and user defaults. It includes interface tools for visualizing layouts with grid overlays and touch indicators, plus memory leak detection and console logging. The main benefit is that you can quickly identify and fix issues during development without leaving your app—just shake your device to toggle the debug panel, making troubleshooting faster and more efficient. https://github.com/DebugSwift/DebugSwift