GitHub - RichardoC/SpIdentify: Classifier to identify if a spider is in a photo

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
AndroidStudioProjects/SpIdentify		AndroidStudioProjects/SpIdentify
EditedEditedImages		EditedEditedImages
EditedImages		EditedImages
EditedOutlineImages		EditedOutlineImages
Images		Images
Spider		Spider
assets		assets
.gitignore		.gitignore
Classifier.py		Classifier.py
ClassifierMultithread.py		ClassifierMultithread.py
HotStartMLP.py		HotStartMLP.py
IsSpider.py		IsSpider.py
IsSpider.pyc		IsSpider.pyc
K-Means Test.ipynb		K-Means Test.ipynb
Outline.py		Outline.py
OutlineCMap.py		OutlineCMap.py
SLPClass.pkl		SLPClass.pkl
TF test.ipynb		TF test.ipynb
Untitled.ipynb		Untitled.ipynb
bestParamsEvaEfficiencies.txt		bestParamsEvaEfficiencies.txt
bestParamsEva_160_80_10_-0-_coeffs.txt		bestParamsEva_160_80_10_-0-_coeffs.txt
bestParamsEva_160_80_10_-0-_intercepts.txt		bestParamsEva_160_80_10_-0-_intercepts.txt
bestParamsEva_160_80_10_-1-_coeffs.txt		bestParamsEva_160_80_10_-1-_coeffs.txt
bestParamsEva_160_80_10_-1-_intercepts.txt		bestParamsEva_160_80_10_-1-_intercepts.txt
bestParamsEva_160_80_10_-2-_coeffs.txt		bestParamsEva_160_80_10_-2-_coeffs.txt
bestParamsEva_160_80_10_-2-_intercepts.txt		bestParamsEva_160_80_10_-2-_intercepts.txt
bestParamsEva_160_80_10_-3-_coeffs.txt		bestParamsEva_160_80_10_-3-_coeffs.txt
bestParamsEva_160_80_10_-3-_intercepts.txt		bestParamsEva_160_80_10_-3-_intercepts.txt
cmap.py		cmap.py
full params.npy		full params.npy
full.json		full.json
hackkings.py		hackkings.py
index.html		index.html
optimising Params.txt		optimising Params.txt
readme.txt		readme.txt
temp.jpg		temp.jpg
test.py		test.py

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# Initial stuff
## The Plan
Program to identify spiders in an image using machine learning


###folder key
Images -> Normal
[110, 110, 10, 0.68535700090039298, 0.72727272727272729, 0.97222222222222221]
EditedImages -> Colourised
[110, 210, 10, 1.5607117415345804, 0.64367816091954022, 0.58762886597938147]
EditedOutlineImages -> outline
[160, 210, 10, 0.69248193025079208, 0.38068181818181818, 1.0]

EditedEditedImages-> colourised then outline
[160, 110, 10, 2.7491239424557965, 0.23563218390804597, 0.82474226804123707]
[60, 110, 10, 0.78518693351168756, 0.83333333333333337, 0.26804123711340205]


Just do it
[110, 110, 10, 0.68535700090039298, 0.72727272727272729, 0.97222222222222221]