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https://github.com/sbrl/research-rainfallradar
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dlr: when predicting, also display heatmap
...of positive predictions
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5195fe6b62
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1 changed files with 6 additions and 4 deletions
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@ -262,10 +262,9 @@ colormap = colormap * 100
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colormap = colormap.astype(np.uint8)
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def infer(model, image_tensor):
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def infer(model, image_tensor, do_argmax=True):
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predictions = model.predict(tf.expand_dims((image_tensor), axis=0))
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predictions = tf.squeeze(predictions)
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predictions = tf.argmax(predictions, axis=2)
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return predictions
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@ -296,6 +295,7 @@ def plot_samples_matplotlib(filepath, display_list):
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plt.imshow(tf.keras.preprocessing.image.array_to_img(display_list[i]))
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else:
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plt.imshow(display_list[i])
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plt.colorbar()
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plt.savefig(filepath, dpi=200)
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@ -303,8 +303,9 @@ def plot_predictions(filepath, input_items, colormap, model):
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i = 0
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for input_pair in input_items:
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prediction_mask = infer(image_tensor=input_pair[0], model=model)
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prediction_mask_argmax = tf.argmax(predictions, axis=2)
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# label_colourmap = decode_segmentation_masks(input_pair[1], colormap, 2)
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prediction_colormap = decode_segmentation_masks(prediction_mask, colormap, 2)
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prediction_colormap = decode_segmentation_masks(prediction_mask_argmax, colormap, 2)
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# print("DEBUG:plot_predictions INFER", str(prediction_mask.numpy().tolist()).replace("], [", "],\n["))
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@ -312,7 +313,8 @@ def plot_predictions(filepath, input_items, colormap, model):
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filepath.replace("$$", str(i)),
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[
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# input_tensor,
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input_pair[1], #label_colourmap
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input_pair[1], #label_colourmap,
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prediction_mask[:,:,1],
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prediction_colormap
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]
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)
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