My solutions to the projects assigned for the Udacity Computer Vision Nanodegree
| Project | Concepts | Tools |
|---|---|---|
| Facial Keypoints | Face Detection, Haar Cascades, CNNs, keypoints | OpenCV, pytorch |
| Image Captioning | COCO dataset, transfer learning, EncoderCNN/DecoderRNN, LSTMs, feature vectors, word embeddings | pytorch, torchvision, nltk |
| Implement SLAM | Offline SLAM, Online SLAM | numpy, pandas, seaborn |
Further explorations of computer vision related topics, such as image segmentation, detection of corners, edges, and contours, k-means clustering, ORB and HOG feature vectors, CNNs, and YOLO, can be found in the Exercises folder.