Studijní materiály (lectures)
1 - Intro: Autonomous Vehicle, Object Detection, Image Features1.1 Appendix: sliding_window.mp4
2 - Convolutional networks: LeNet, PyTorch
3 - CNN Architectures: AlexNet, ZFNet, VGG, GoogLeNet, ResNet, DenseNet
3.1 - Appendix: Dropout, Pytorch Dataset
3.2 - Appendix: ResNet, SqueezeNet, EfficientNet
4 - Object Detection: RCNN, YOLO, SSD
4.1 Appendix: car_detection.mp4
5 - Generative Adversarial Networks (GANs)
5.1 Appendix: parking_gan.mp4
5.2 Appendix: parking_dcgan.mp4
Cvičení (exercises)
| Name | Description | References |
|---|---|---|
| 1. Parking Lot Analysis | Experiments with classical edge detection, Haar/HOG/LBP for parking lot analysis. |
video template.zip scikit-image trainimages |