imageRecog.py

import PIL

from imageai.Prediction import ImagePrediction
import os
execution_path = os.getcwd()
prediction = ImagePrediction()
prediction.setModelTypeAsResNet()
prediction.setModelPath( r"C:\Users\Adrian\source\repos\just-your-feedback\resnet50_weights_tf_dim_ordering_tf_kernels.h5")
prediction.loadModel()



predictions, percentage_probabilities = prediction.predictImage(r"C:\Users\Adrian\Downloads\sample.jpg", result_count=5)
for index in range(len(predictions)):
	print(predictions[index] , " : " , percentage_probabilities[index])