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commited on
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Parent(s):
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Copy over a working example for multilabel classification
Browse files- .github/workflows/deploy.yaml +9 -0
- .github/workflows/test.yaml +7 -0
- .gitignore +152 -0
- 00_core.ipynb +0 -0
- LICENSE +201 -0
- MANIFEST.in +5 -0
- README.md +23 -13
- _quarto.yml +38 -0
- car_person.PNG +0 -0
- chair_diningtable.PNG +0 -0
- export.pkl +3 -0
- index.ipynb +96 -0
- petdetector/__init__.py +1 -0
- petdetector/_modidx.py +8 -0
- petdetector/core.py +27 -0
- settings.ini +41 -0
- setup.py +57 -0
- sheep.PNG +0 -0
- styles.css +37 -0
.github/workflows/deploy.yaml
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name: Deploy to GitHub Pages
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on:
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push:
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branches: [ "main", "master" ]
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workflow_dispatch:
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps: [uses: fastai/workflows/quarto-ghp@master]
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.github/workflows/test.yaml
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name: CI
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on: [workflow_dispatch, pull_request, push]
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jobs:
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test:
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runs-on: ubuntu-latest
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steps: [uses: fastai/workflows/nbdev-ci@master]
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.gitignore
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_docs/
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*.bak
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.gitattributes
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.last_checked
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.gitconfig
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*.bak
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*.log
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*~
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~*
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_tmp*
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tmp*
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tags
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*.pkg
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# dotenv
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.env
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# virtualenv
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.venv
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venv/
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ENV/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.vscode
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*.swp
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# osx generated files
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.DS_Store
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.DS_Store?
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.Trashes
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ehthumbs.db
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Thumbs.db
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.idea
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# pytest
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.pytest_cache
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# tools/trust-doc-nbs
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docs_src/.last_checked
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# symlinks to fastai
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docs_src/fastai
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tools/fastai
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# link checker
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checklink/cookies.txt
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# .gitconfig is now autogenerated
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.gitconfig
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# Quarto installer
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.deb
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.pkg
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# Quarto
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.quarto
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/.quarto/
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00_core.ipynb
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LICENSE
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Apache License
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|
MANIFEST.in
ADDED
@@ -0,0 +1,5 @@
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|
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|
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include settings.ini
|
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include LICENSE
|
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include CONTRIBUTING.md
|
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+
include README.md
|
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+
recursive-exclude * __pycache__
|
README.md
CHANGED
@@ -1,13 +1,23 @@
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-
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petdetector
|
2 |
+
================
|
3 |
+
|
4 |
+
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
|
5 |
+
|
6 |
+
This file will become your README and also the index of your
|
7 |
+
documentation.
|
8 |
+
|
9 |
+
## Install
|
10 |
+
|
11 |
+
``` sh
|
12 |
+
pip install petdetector
|
13 |
+
```
|
14 |
+
|
15 |
+
## How to use
|
16 |
+
|
17 |
+
Fill me in please! Don’t forget code examples:
|
18 |
+
|
19 |
+
``` python
|
20 |
+
1+1
|
21 |
+
```
|
22 |
+
|
23 |
+
2
|
_quarto.yml
ADDED
@@ -0,0 +1,38 @@
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ipynb-filters: [nbdev_filter]
|
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+
|
3 |
+
project:
|
4 |
+
type: website
|
5 |
+
output-dir: _docs
|
6 |
+
preview:
|
7 |
+
port: 3000
|
8 |
+
browser: false
|
9 |
+
|
10 |
+
format:
|
11 |
+
html:
|
12 |
+
theme: cosmo
|
13 |
+
css: styles.css
|
14 |
+
toc: true
|
15 |
+
toc-depth: 4
|
16 |
+
|
17 |
+
website:
|
18 |
+
title: "petdetector"
|
19 |
+
site-url: "https://Abyszero.github.io/petdetector"
|
20 |
+
description: "Detection and tracking for pet cams."
|
21 |
+
twitter-card: true
|
22 |
+
open-graph: true
|
23 |
+
reader-mode: true
|
24 |
+
repo-branch: master
|
25 |
+
repo-url: "https://github.com/Abyszero/petdetector"
|
26 |
+
repo-actions: [issue]
|
27 |
+
navbar:
|
28 |
+
background: primary
|
29 |
+
search: true
|
30 |
+
right:
|
31 |
+
- icon: github
|
32 |
+
href: "https://github.com/Abyszero/petdetector"
|
33 |
+
sidebar:
|
34 |
+
style: "floating"
|
35 |
+
|
36 |
+
metadata-files:
|
37 |
+
- sidebar.yml
|
38 |
+
- custom.yml
|
car_person.PNG
ADDED
chair_diningtable.PNG
ADDED
export.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e1ce6142d462bc71df06d5eb78635ebfeb2bb84819ddbb71948cf2f08ea97529
|
3 |
+
size 103313445
|
index.ipynb
ADDED
@@ -0,0 +1,96 @@
|
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|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"#| hide\n",
|
10 |
+
"from petdetector.core import *"
|
11 |
+
]
|
12 |
+
},
|
13 |
+
{
|
14 |
+
"cell_type": "markdown",
|
15 |
+
"metadata": {},
|
16 |
+
"source": [
|
17 |
+
"# petdetector\n",
|
18 |
+
"\n",
|
19 |
+
"> Detection and tracking for pet cams."
|
20 |
+
]
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"cell_type": "markdown",
|
24 |
+
"metadata": {},
|
25 |
+
"source": [
|
26 |
+
"This file will become your README and also the index of your documentation."
|
27 |
+
]
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"cell_type": "markdown",
|
31 |
+
"metadata": {},
|
32 |
+
"source": [
|
33 |
+
"## Install"
|
34 |
+
]
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"cell_type": "markdown",
|
38 |
+
"metadata": {},
|
39 |
+
"source": [
|
40 |
+
"```sh\n",
|
41 |
+
"pip install petdetector\n",
|
42 |
+
"```"
|
43 |
+
]
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"cell_type": "markdown",
|
47 |
+
"metadata": {},
|
48 |
+
"source": [
|
49 |
+
"## How to use"
|
50 |
+
]
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"cell_type": "markdown",
|
54 |
+
"metadata": {},
|
55 |
+
"source": [
|
56 |
+
"Fill me in please! Don't forget code examples:"
|
57 |
+
]
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"cell_type": "code",
|
61 |
+
"execution_count": null,
|
62 |
+
"metadata": {},
|
63 |
+
"outputs": [
|
64 |
+
{
|
65 |
+
"data": {
|
66 |
+
"text/plain": [
|
67 |
+
"2"
|
68 |
+
]
|
69 |
+
},
|
70 |
+
"execution_count": null,
|
71 |
+
"metadata": {},
|
72 |
+
"output_type": "execute_result"
|
73 |
+
}
|
74 |
+
],
|
75 |
+
"source": [
|
76 |
+
"1+1"
|
77 |
+
]
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"cell_type": "code",
|
81 |
+
"execution_count": null,
|
82 |
+
"metadata": {},
|
83 |
+
"outputs": [],
|
84 |
+
"source": []
|
85 |
+
}
|
86 |
+
],
|
87 |
+
"metadata": {
|
88 |
+
"kernelspec": {
|
89 |
+
"display_name": "Python 3 (ipykernel)",
|
90 |
+
"language": "python",
|
91 |
+
"name": "python3"
|
92 |
+
}
|
93 |
+
},
|
94 |
+
"nbformat": 4,
|
95 |
+
"nbformat_minor": 4
|
96 |
+
}
|
petdetector/__init__.py
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
__version__ = "0.0.1"
|
petdetector/_modidx.py
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Autogenerated by nbdev
|
2 |
+
|
3 |
+
d = { 'settings': { 'branch': 'master',
|
4 |
+
'doc_baseurl': '/petdetector',
|
5 |
+
'doc_host': 'https://Abyszero.github.io',
|
6 |
+
'git_url': 'https://github.com/Abyszero/petdetector',
|
7 |
+
'lib_path': 'petdetector'},
|
8 |
+
'syms': {'petdetector.core': {'petdetector.core.classify_image': ('core.html#classify_image', 'petdetector/core.py')}}}
|
petdetector/core.py
ADDED
@@ -0,0 +1,27 @@
|
|
|
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|
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|
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|
|
|
1 |
+
# AUTOGENERATED! DO NOT EDIT! File to edit: ../00_core.ipynb.
|
2 |
+
|
3 |
+
# %% auto 0
|
4 |
+
__all__ = ['learn_inf', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
|
5 |
+
|
6 |
+
# %% ../00_core.ipynb 3
|
7 |
+
from fastai.vision.all import *
|
8 |
+
|
9 |
+
# %% ../00_core.ipynb 17
|
10 |
+
learn_inf = load_learner('export.pkl')
|
11 |
+
|
12 |
+
# %% ../00_core.ipynb 21
|
13 |
+
import gradio as gr
|
14 |
+
categories = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle',
|
15 |
+
'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
|
16 |
+
'horse', 'motorbike', 'person', 'pottedplant', 'sheep',
|
17 |
+
'sofa', 'train', 'tvmonitor']
|
18 |
+
def classify_image(img):
|
19 |
+
red, idx, probs = learn_inf.predict(img)
|
20 |
+
return dict(zip(categories, map(float, probs)))
|
21 |
+
|
22 |
+
image = gr.inputs.Image(shape=(192,192))
|
23 |
+
label = gr.outputs.Label()
|
24 |
+
examples = ['sheep.PNG', 'chair_diningtable.PNG', 'car_person.PNG']
|
25 |
+
|
26 |
+
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
27 |
+
intf.launch(inline=False)
|
settings.ini
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
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|
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|
1 |
+
[DEFAULT]
|
2 |
+
# All sections below are required unless otherwise specified.
|
3 |
+
# See https://github.com/fastai/nbdev/blob/master/settings.ini for examples.
|
4 |
+
|
5 |
+
### Python library ###
|
6 |
+
repo = petdetector
|
7 |
+
lib_name = %(repo)s
|
8 |
+
version = 0.0.1
|
9 |
+
min_python = 3.7
|
10 |
+
license = apache2
|
11 |
+
|
12 |
+
### nbdev ###
|
13 |
+
doc_path = _docs
|
14 |
+
lib_path = petdetector
|
15 |
+
nbs_path = .
|
16 |
+
recursive = False
|
17 |
+
tst_flags = notest
|
18 |
+
|
19 |
+
### Docs ###
|
20 |
+
branch = master
|
21 |
+
custom_sidebar = False
|
22 |
+
doc_host = https://%(user)s.github.io
|
23 |
+
doc_baseurl = /%(repo)s
|
24 |
+
git_url = https://github.com/%(user)s/%(repo)s
|
25 |
+
title = %(lib_name)s
|
26 |
+
|
27 |
+
### PyPI ###
|
28 |
+
audience = Developers
|
29 |
+
author = Chris Forgach
|
30 |
+
author_email = 25310242+Abyszero@users.noreply.github.com
|
31 |
+
copyright = 2022 ownwards, %(author)s
|
32 |
+
description = A basic multilabel image classifier.
|
33 |
+
keywords = nbdev jupyter notebook python
|
34 |
+
language = English
|
35 |
+
status = 3
|
36 |
+
user = Abyszero
|
37 |
+
|
38 |
+
### Optional ###
|
39 |
+
requirements = fastcore pandas fastai gradio
|
40 |
+
# dev_requirements =
|
41 |
+
# console_scripts =
|
setup.py
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from pkg_resources import parse_version
|
2 |
+
from configparser import ConfigParser
|
3 |
+
import setuptools
|
4 |
+
assert parse_version(setuptools.__version__)>=parse_version('36.2')
|
5 |
+
|
6 |
+
# note: all settings are in settings.ini; edit there, not here
|
7 |
+
config = ConfigParser(delimiters=['='])
|
8 |
+
config.read('settings.ini')
|
9 |
+
cfg = config['DEFAULT']
|
10 |
+
|
11 |
+
cfg_keys = 'version description keywords author author_email'.split()
|
12 |
+
expected = cfg_keys + "lib_name user branch license status min_python audience language".split()
|
13 |
+
for o in expected: assert o in cfg, "missing expected setting: {}".format(o)
|
14 |
+
setup_cfg = {o:cfg[o] for o in cfg_keys}
|
15 |
+
|
16 |
+
licenses = {
|
17 |
+
'apache2': ('Apache Software License 2.0','OSI Approved :: Apache Software License'),
|
18 |
+
'mit': ('MIT License', 'OSI Approved :: MIT License'),
|
19 |
+
'gpl2': ('GNU General Public License v2', 'OSI Approved :: GNU General Public License v2 (GPLv2)'),
|
20 |
+
'gpl3': ('GNU General Public License v3', 'OSI Approved :: GNU General Public License v3 (GPLv3)'),
|
21 |
+
'bsd3': ('BSD License', 'OSI Approved :: BSD License'),
|
22 |
+
}
|
23 |
+
statuses = [ '1 - Planning', '2 - Pre-Alpha', '3 - Alpha',
|
24 |
+
'4 - Beta', '5 - Production/Stable', '6 - Mature', '7 - Inactive' ]
|
25 |
+
py_versions = '3.6 3.7 3.8 3.9 3.10'.split()
|
26 |
+
|
27 |
+
requirements = cfg.get('requirements','').split()
|
28 |
+
if cfg.get('pip_requirements'): requirements += cfg.get('pip_requirements','').split()
|
29 |
+
min_python = cfg['min_python']
|
30 |
+
lic = licenses.get(cfg['license'].lower(), (cfg['license'], None))
|
31 |
+
dev_requirements = (cfg.get('dev_requirements') or '').split()
|
32 |
+
|
33 |
+
setuptools.setup(
|
34 |
+
name = cfg['lib_name'],
|
35 |
+
license = lic[0],
|
36 |
+
classifiers = [
|
37 |
+
'Development Status :: ' + statuses[int(cfg['status'])],
|
38 |
+
'Intended Audience :: ' + cfg['audience'].title(),
|
39 |
+
'Natural Language :: ' + cfg['language'].title(),
|
40 |
+
] + ['Programming Language :: Python :: '+o for o in py_versions[py_versions.index(min_python):]] + (['License :: ' + lic[1] ] if lic[1] else []),
|
41 |
+
url = cfg['git_url'],
|
42 |
+
packages = setuptools.find_packages(),
|
43 |
+
include_package_data = True,
|
44 |
+
install_requires = requirements,
|
45 |
+
extras_require={ 'dev': dev_requirements },
|
46 |
+
dependency_links = cfg.get('dep_links','').split(),
|
47 |
+
python_requires = '>=' + cfg['min_python'],
|
48 |
+
long_description = open('README.md').read(),
|
49 |
+
long_description_content_type = 'text/markdown',
|
50 |
+
zip_safe = False,
|
51 |
+
entry_points = {
|
52 |
+
'console_scripts': cfg.get('console_scripts','').split(),
|
53 |
+
'nbdev': [f'{cfg.get("lib_path")}={cfg.get("lib_path")}._modidx:d']
|
54 |
+
},
|
55 |
+
**setup_cfg)
|
56 |
+
|
57 |
+
|
sheep.PNG
ADDED
styles.css
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
.cell {
|
2 |
+
margin-bottom: 1rem;
|
3 |
+
}
|
4 |
+
|
5 |
+
.cell > .sourceCode {
|
6 |
+
margin-bottom: 0;
|
7 |
+
}
|
8 |
+
|
9 |
+
.cell-output > pre {
|
10 |
+
margin-bottom: 0;
|
11 |
+
}
|
12 |
+
|
13 |
+
.cell-output > pre, .cell-output > .sourceCode > pre, .cell-output-stdout > pre {
|
14 |
+
margin-left: 0.8rem;
|
15 |
+
margin-top: 0;
|
16 |
+
background: none;
|
17 |
+
border-left: 2px solid lightsalmon;
|
18 |
+
border-top-left-radius: 0;
|
19 |
+
border-top-right-radius: 0;
|
20 |
+
}
|
21 |
+
|
22 |
+
.cell-output > .sourceCode {
|
23 |
+
border: none;
|
24 |
+
}
|
25 |
+
|
26 |
+
.cell-output > .sourceCode {
|
27 |
+
background: none;
|
28 |
+
margin-top: 0;
|
29 |
+
}
|
30 |
+
|
31 |
+
div.description {
|
32 |
+
padding-left: 2px;
|
33 |
+
padding-top: 5px;
|
34 |
+
font-style: italic;
|
35 |
+
font-size: 135%;
|
36 |
+
opacity: 70%;
|
37 |
+
}
|