Image-Classifier

Retrain a pre-trained Neural Network to recognize Images

Requirements:

• Python 3.6.2 (https://www.python.org/downloads/release/python-362/)
• Numpy (https://pypi.org/project/numpy/)
• Tensorflow (https://pypi.org/project/tensorflow/)
• Keras (https://pypi.org/project/Keras/)

Usage:

Retraining for any Image:

• Create a folder in desktop, and extract all files to that folder. Create a folder tf_files inside the main folder. Place all images in

tf_files/[any_name]/folders.

The folders must be name of the objects inside. For eg. Folder names Cat will have images of cats

• Go to main folder and Run the following code in CMD:

 python -m scripts.retrain --image_dir=tf_files/[any_name]/ --how_many_training_steps=1000 --model_dir=tf_file/model/ --input_height=299 --input_width=299

Testing the Classifier:

• Store the Image to Classify in the main folder

• In the main folder run the following in CMD:

python -m scripts.label_image --input_height=299 --input_width=299 --image=[file_to_classify].jpg

For more info on training an Image Classifier: https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0

G00D LUCK

For doubts email me at: atinsaki@gmail.com