GitHub - DeadBigRedDog/animal-classification

Initial Setup

To read this document in html, CMD + Shift + P > Markdown: Open Preview.

Install the python extension.

Next you should set up your Visual Studio Code to recognize the virtual environment:

Cmd + Shift + P > Python: Select Interpreter. Choose the python that's in your .pyenv folder.

Pylint is a little bit fussy with Django. I've found some workarounds. It's probably a good idea to enable linting.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
commands		commands
facets		facets
reports		reports
requirements		requirements
.gitignore		.gitignore
1-organize-cifar-images.py		1-organize-cifar-images.py
1-organize-pascal-voc-images.py		1-organize-pascal-voc-images.py
1-pull-image-net-data.py		1-pull-image-net-data.py
1. Visual EDA.ipynb		1. Visual EDA.ipynb
2-organize-all-images.py		2-organize-all-images.py
2. Base Model.ipynb		2. Base Model.ipynb
3-clean-images.py		3-clean-images.py
3. Smaller Data Set.ipynb		3. Smaller Data Set.ipynb
4-image-information.py		4-image-information.py
4. Even Smaller Data Set.ipynb		4. Even Smaller Data Set.ipynb
5-test-resize-pad-image.py		5-test-resize-pad-image.py
6-resize-pad-all-images.py		6-resize-pad-all-images.py
7-remove-unresized-images.py		7-remove-unresized-images.py
8-upload-images-s3.py		8-upload-images-s3.py
9-create-tsne.py		9-create-tsne.py
readme.md		readme.md