ml-final-project

Building fully convolutional neural networks in PyTorch.

Todo

1. data loading
2. Preprocessing
3. define model
4. construct loss func
5. select optimization algo
6. set up eval metrics
7. training / testing methods

Source Data

1. https://pytorch.org/docs/stable/torchvision/datasets.html#cityscapes
2. https://www.cityscapes-dataset.com/downloads/
3. https://github.com/mcordts/cityscapesScripts

Resources

1. https://github.com/SatyamGaba/semantic_segmentation_cityscape
2. https://github.com/nyoki-mtl/pytorch-segmentation
3. https://github.com/meetshah1995/pytorch-semseg
4. https://paperswithcode.com/sota/ semantic-segmentation-on-cityscapes
5. https://discuss.pytorch.org/t/ best-available-semantic-segmentation-in-pytorch/13107
6. https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html
7. https://www.learnopencv.com/pytorch-for-beginners-semantic-segmentation-using-torchvision/
8. https://github.com/hoya012/semantic-segmentation-tutorial-pytorch
9. https://medium.com/pytorch/accelerate-your-hyperparameter-optimization-with-pytorchs-ecosystem-tools-bc17001b9a49
10. https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
11. https://medium.com/analytics-vidhya/creating-a-very-simple-u-net-model-with-pytorch-for-semantic-segmentation-of-satellite-images-223aa216e705
12. https://github.com/pochih/FCN-pytorch/blob/master/python/fcn.py
13. https://github.com/wkentaro/pytorch-fcn/blob/master/torchfcn/models/fcn8s.py
14. https://www.pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection/
15. https://github.com/amdegroot/ssd.pytorch/blob/master/layers/box_utils.py#L48
16. https://github.com/omerbsezer/Fast-Pytorch/blob/master/README.md

Notes

1. CONV2D a. https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html b. https://www.programcreek.com/python/example/107691/torch.nn.Conv2d
2. Max_Pool a. https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html b.
3. Average Pool a. https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.avg_pool2d b.
4. ConvTranspoose2D a. https://pytorch.org/docs/stable/generated/torch.nn.ConvTranspose2d.html b.
5. Optimizer a. https://pytorch.org/docs/stable/optim.html b.
6. Transforms a. https://pytorch.org/docs/stable/torchvision/transforms.html b.
7. Torch sgd a. https://pytorch.org/docs/stable/optim.html?#torch.optim.SGD b.