Metadata-Version: 2.1
Name: keras-flower
Version: 0.1
Summary: A Simple Flower classification package trained on DenseNet201
Home-page: https://github.com/Bhanuchander210/keras_flower.git
Author: Bhanuchander Udhayakumar
Author-email: bhanuchander210@gmail.com
License: MIT
Description: # Keras Flower
        
        A Simple Flower classification package using DenseNet201.
        
        - Classes   : [104 classes of flowers](keras_flower_labels.txt)
        - Training Data Set : [Petals to the Metal - Flower Classification on TPU](https://www.kaggle.com/c/tpu-getting-started)
        
        
        #### Usage
        
        - Use pip install to install this package
        
        ```
        pip install keras_flower
        ```
        
        - To get all prediction results
        
        ```
        import keras_flower as kf
        predictions = kf.predict_by_path("file/to/predict.png")
        print(predictions)
        ```
        
        Sample output:
        
        ```text
        [1.4414026e-06 1.6031330e-06 1.6295390e-06 1.1156463e-06 2.7592062e-06
        ...
         1.1587109e-06 4.1556059e-06 1.0784672e-05 6.0254356e-06]
        ```
        
        
        - To get top prediction result with [flower labels](https://github.com/Bhanuchander210/keras_flower/blob/master/keras_flower_labels.txt)
        
        ```
        import keras_flower as kf
        for predicted, score in kf.predict_name_by_path("/path/to/file.png"):
            print(predicted, score)
        ```
        
        Sample output:
        
        
        ```text
        sunflower 0.99960905
        ```
        
        #### Validation
        
        - Data set : [102 Category Flower Dataset](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html)
        - No of images : **8189**
        - Overall accuracy : **0.9715**
        - confusion matrix : [102flowers_confusion_matrix.csv](https://github.com/Bhanuchander210/keras_flower/blob/master/102flowers_confusion_matrix.csv)
        - classification report : [102flowers_classification_report.txt](https://github.com/Bhanuchander210/keras_flower/blob/master/102flowers_classification_report.txt)
        - classification report summary:
        ```text
                                   precision    recall  f1-score   support
                        micro avg       0.97      0.97      0.97      8189
                        macro avg       0.95      0.94      0.94      8189
                     weighted avg       0.97      0.97      0.97      8189
        ```
        #### Demo
        
        ![demo](https://raw.githubusercontent.com/Bhanuchander210/keras_flower/master/demo.gif)
        
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Description-Content-Type: text/markdown
