Category: Computer Vision
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OpenCV vs Pillow: 10 Operations Benchmarked (2026)
OpenCV wins 9 of 10 operations โ but rotation goes to Pillow. Real benchmarks on resize, blur, grayscale, and more with exact timings per operation.
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SAM Zero-Shot Medical Segmentation: 14% mIoU vs CNN 68%
Compare SAM zero-shot medical segmentation achieving just 14% mIoU against CNN's 68%. Discover why domain shift breaks foundation models.
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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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YOLO vs Detectron2 vs MMDetection: Training Speed Test
Trained 5-class detection on 3 frameworksโYOLO took 2.1h, MMDet Faster R-CNN 4.9h. One gave 40% better box precision. Real training times, mAP, VRAM costs.
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ViT Overfits Small Datasets: When CNNs Win by 18% mAP
Vision Transformers struggle on small datasets while CNNs dominate. Learn why architectural inductive bias beats attention when data is scarce.
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Pillow to OpenCV: 3.4x Faster Image Load in Production
Pillow's imread took 800ms per image. OpenCV cut it to 240ms. Here's the color space trap, dtype bug, and EXIF hell that break every migration.