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Image ai python

Defeated Dormouse answered on August 30, 2022 Popularity 8/10 Helpfulness 4/10

answer Image ai python

Image ai python

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from imageai.Prediction import ImageClassification
import os
import threading

execution_path = os.getcwd()

prediction = ImageClassification()
prediction.setModelTypeAsResNet()
prediction.setModelPath( os.path.join(execution_path, "resnet50_imagenet_tf.2.0.h5"))

picturesfolder = os.environ["USERPROFILE"] + "\\Pictures\\"
allfiles = os.listdir(picturesfolder)

class PredictionThread(threading.Thread):
    def __init__(self):
        threading.Thread.__init__(self)
    def run(self):
        prediction.loadModel()
        for eachPicture in allfiles:
            if eachPicture.endswith(".png") or eachPicture.endswith(".jpg"):
                predictions, percentage_probabilities = prediction.predictImage(picturesfolder + eachPicture, result_count=1)
                for prediction, percentage_probability in zip(predictions, probabilities):
                    print(prediction , " : " , percentage_probability)

predictionThread = PredictionThread ()
predictionThread.start()

Popularity 8/10 Helpfulness 4/10 Language python

Source: github.com

Tags: image python

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Contributed on Aug 30 2022

Defeated Dormouse

0 Answers Avg Quality 2/10

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