Skip to content

MinSiThu/computer-vision-studies-code

Repository files navigation

Computer Vision Code

I made these codes on Google Colab & Export into python file. I made a list for these files to easily study step by step.

  1. CV2 Basics
  2. CV2 Contours & Mask, thresholding
  3. Filters 2D
  4. Edge Detections
  5. Scale Invariant Feature Transform
  6. Scanning Exam Bubble Sheet - OMR
  7. Image Segmentation with K Means Clustering
  8. CIFAR 10 Image Classification with Tensorflow
  9. Snake Classification in Keras using VGG16
  10. Using Resnet50 pretrained model for classification
  11. Generative Adverserial Network fro MNIST

Technologies included - python, opencv2, imutils, matplotlib, tensorflow, keras

LICENSE

These code bases are mainly for educational purpose & can be used freely for any purpose too. Consequences used by open source consumers are not guranted by code base contributor. (DO AS YOU PREFER, I MADE IT FREE)