franklinemisango/contextualized-detectron-2

Complex Dectectron2 model that can detect zones and inhibitions in a given image.

Detectron2

Complex Dectectron2 model that can detect zones and inhibitions in a given image.

Detection and Segmentation

steps to build detectron2

1. Right now it only support ubuntu and MacOS.
2. Installation: i) Using pip python -m pip install 'git+https://github.com/facebookresearch/detectron2.git' ii) Using clone git clone https://github.com/facebookresearch/detectron2.git python -m pip install -e detectron2 iii) If you have cuda(GPU) : There are different wheel links for each torch and cuda : Please refer below link for same. https://detectron2.readthedocs.io/en/latest/tutorials/install.html#install-pre-built-detectron2-linux-only

Steps needed to build the environment

pip3 install -r requirements.txt

Video indexes

1. Buisness use Case and Understanding of data . 
2. Difference between classification,detection and Segmentation .
3. State of Art - Detection and Segmentation
4. Building/Installing Detectron 
5. Understanding detectron2 from docs-Basics
6. Running detectron2 using built-in datasets .
7. Starts setting up Detectron2 - Training -Part 1
8. Starts setting up Detectron2 - Training -Part 2
9. Augmentation Techniques for Detectron
10. Inference script and how to  test on test image
11. Understanding how to interpret results from Detectron2
12. Understanding visulaize.py for visualizing results
13. Plot detection and segmentaion separately .
14. Understanding  Project Structure for Training and training .
15. Understanding  Project Structure for Inference and Infer .