- Working with image and video: morphological , filter, transform,
segmentation, contours, angle deflection of object, object detection with
keras mask rcnn.
- Lane detection with hough transform for self-driving cars.
- Detect written: Yolo, DB, East, Tesseract.
- Recognization: Transformer, attention + ctc loss, bert, seq2seq attention.
- Classification: transformer, ruled base.
- Linear regression.
- Logistic regression.
- Object recognition.
- Crawl data with python, clean data, preprocessing data, build model CNN to
- Pytorch, Tensorflow, Keras.
- Detect face with MTCNN and facenet.