#computer-vision

• 23 Sept 2025 · Study

  Computer Vision · Data augmentation

  Label-preserving random transforms (flips, crops, rotation, colour jitter) with torchvision.transforms.v2, applied consistently to images and boxes.

• 16 Sept 2025 · Study

  Computer Vision · Segmentation and U-Net

  Semantic segmentation as per-pixel classification, the U-Net encoder–decoder with skip connections, Dice/IoU, and a tiny U-Net trained on synthetic shapes.

• 8 Sept 2025 · Study

  Computer Vision · Object detection and YOLO

  Detection as boxes plus classes, IoU, non-maximum suppression, YOLO's single-pass grid idea, and running a pretrained torchvision detector on a NASA photo.

• 1 Sept 2025 · Study

  Computer Vision · Transfer learning

  Reusing an ImageNet-pretrained ResNet-18: frozen features plus a new linear head versus training from scratch, on the 8×8 digits upsampled.

• 25 Aug 2025 · Study

  Computer Vision · CNN architectures: VGG and ResNet

  VGG's stacks of 3×3 convolutions, why very deep plain networks got worse, and ResNet's skip connections, with a residual block checked in code.

• 15 Aug 2025 · Study

  Computer Vision · CNN architectures: LeNet to AlexNet

  The two early milestones, LeNet-5 for digits and AlexNet for ImageNet: their layers, parameter counts, and what changed between them.

• 8 Aug 2025 · Study

  Computer Vision · OpenCV essentials

  The OpenCV operations I use most: colour conversion, resizing, Gaussian blur, Canny edges, thresholding and contours.

• 1 Aug 2025 · Study

  Computer Vision · Image basics

  Images as arrays: height × width × channels, uint8 vs float, RGB vs grayscale, cropping, and the channel-order and range traps between libraries.