vision-tutorial

Course materials used in computer vision tutorial 2019. Jupyter Notebook are executable on Google Colab.

Related Courses @ Korea University

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
01 Introduction.ipynb		01 Introduction.ipynb
02_1_Template_matching.ipynb		02_1_Template_matching.ipynb
02_2_Seam_carving.ipynb		02_2_Seam_carving.ipynb
02_3_Hybrid_images.ipynb		02_3_Hybrid_images.ipynb
03_Edge_Detection.ipynb		03_Edge_Detection.ipynb
04_1_Introduction_to_Neural_Networks_using_Pytorch.ipynb		04_1_Introduction_to_Neural_Networks_using_Pytorch.ipynb
04_2_Convolutional_Neural_Network.ipynb		04_2_Convolutional_Neural_Network.ipynb
07_Semantic_segmentation.ipynb		07_Semantic_segmentation.ipynb
08_style_transfer_with_cycleGAN.ipynb		08_style_transfer_with_cycleGAN.ipynb
5_Object_Detection_01.ipynb		5_Object_Detection_01.ipynb
5_Object_Detection_02.ipynb		5_Object_Detection_02.ipynb
6_MOT_detinfo.json		6_MOT_detinfo.json
6_Multiple_Object_Tracking.ipynb		6_Multiple_Object_Tracking.ipynb
README.md		README.md