Thimira Amaratunga Thimira
Thimira
/ resnet50_predict.py
Created
September 3, 2017 08:35
How to use the ResNet50 model from Keras Applications trained on ImageNet to make a prediction on an image.
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| from keras.applications.resnet50 import ResNet50 | |
| from keras.preprocessing import image | |
| from keras.applications.resnet50 import preprocess_input, decode_predictions | |
| import numpy as np | |
| model = ResNet50(weights='imagenet') | |
| img_path = 'Data/Jellyfish.jpg' | |
| img = image.load_img(img_path, target_size=(224, 224)) | |
| x = image.img_to_array(img) |
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