Tag: Computer Vision
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Haar Cascade to YOLOv8 Face Detection: 4.2x Speed Gain
Migrated Haar Cascade to YOLOv8 face detection: 4.2x faster on CPU, 89% mAP50 vs 67%. Real preprocessing pitfalls and deployment gotchas included.
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SAM 2 Inference Pipeline Bottlenecks: 3x Slower Than SAM
SAM 2 inference runs 3x slower than SAM despite better accuracy. Discover the bottleneck causing this performance drop and how to optimize it.
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OpenCV Face Blur: 3 Mistakes That Kill Real-Time FPS
Haar cascade + Gaussian blur drops your FPS to 15? Here's the numpy slice bug, kernel size trap, and detection parameter fix that gets you back to 30.
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YOLOv8 vs YOLOv9 vs YOLO11: First Project Pick Guide
Compare YOLOv8, YOLOv9, and YOLO11 for your first object detection project. Speed, accuracy, and ease-of-use benchmarks to help you choose.
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OpenCV to Albumentations: 3x Faster Augmentation Pipeline
Migrate from OpenCV to Albumentations for 3x faster image augmentation. Compare performance, GPU support, and integration tips for CV pipelines.
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Cloud GPU Cost Showdown: ViT Training on AWS vs GCP vs Azure
I trained ViT-B/16 on AWS, GCP, and Azure. The cost gap? 3.75x. Spot instances cut $740 but preemptions add friction โ here's the breakdown.
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PaddleOCR vs EasyOCR vs Doctr: Memory & Latency Test
Memory and latency benchmarks for PaddleOCR, EasyOCR, and Doctr on 1000 images โ one hits 800MB idle, another times out on Lambda cold starts.
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OpenCV vs Pillow: Image Processing Speed Benchmark
Compare OpenCV and Pillow performance with real benchmarks. Find out which library wins for resizing, filtering, and batch operations.