GitHub - paperclip/cat-camera: pi-camera images processed with machine learning · GitHub

Name		Name	Last commit message	Last commit date
database		database
decision_tree_1		decision_tree_1
keras1		keras1
keras2		keras2
object_detection_2		object_detection_2
object_detection_training		object_detection_training
object_detection_yolo3		object_detection_yolo3
preprocessing		preprocessing
tensorflow1		tensorflow1
tensorflow2		tensorflow2
tensorflow3		tensorflow3
.gitignore		.gitignore
ClassifyNewImages.py		ClassifyNewImages.py
ClassifyOldImages.py		ClassifyOldImages.py
CopyNewNotCat.py		CopyNewNotCat.py
EvaluateOldImages.py		EvaluateOldImages.py
ReCassifyPendingImages.py		ReCassifyPendingImages.py
catbedTimelapse.py		catbedTimelapse.py
conservatoryTimelapse.sh		conservatoryTimelapse.sh
copyImagesFromPi.sh		copyImagesFromPi.sh
copyImagesFromRedBoot.sh		copyImagesFromRedBoot.sh
delete_old_cat_images.py		delete_old_cat_images.py
hallTimelapse.py		hallTimelapse.py
howManyLeft.py		howManyLeft.py
image_classify.py		image_classify.py
label_image.py		label_image.py
manualImage.py		manualImage.py
move1000.py		move1000.py
readme.md		readme.md
redbootTimelapse.py		redbootTimelapse.py
retrain.py		retrain.py
sizeByTime.py		sizeByTime.py
tf_type.py		tf_type.py
timelapse.py		timelapse.py
training.py		training.py
viewImage.py		viewImage.py

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Douglas Leeder's cat image machine learning

Training:

python retrain.py In anaconda: activate tensorflow5

argument defaults set for cat training

classification: In anaconda: activate tensorflow5 python ClassifyNewImages.py

copy from Pi: In Ubuntu Shell: bash copyImagesFromPi.sh

manualImage sorting: In anaconda: activate qt python manualImage.py

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pi-camera images processed with machine learning

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