Emotion reco#12
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israasalah wants to merge 23 commits intodevelfrom
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mhashim6
requested changes
Mar 4, 2020
| results = np.squeeze(output_data) | ||
| #print("result",results) | ||
| top_k = results.argsort()[-2:][::-1] | ||
| labels = load_labels("labels.txt") |
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Please add an init function that is responsible for loading the model and the labels, and a detect function that receives a an image as a numpy array. Take a look on facial_recognition for a reference.
mhashim6
requested changes
Mar 5, 2020
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| for i in top_percentage: | ||
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| print('{:08.6f}: {}'.format(float(results[i]), labels[i])) |
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detect should return the result, not print it. if the model returns multiple results return the fittest one.
| @@ -0,0 +1,47 @@ | |||
| from __future__ import absolute_import | |||
| from __future__ import division | |||
| from __future__ import print_function | |||
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What do need these imports for?
| global labels | ||
| global interpreter | ||
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| labels = ['Angry', 'Disgusted', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprised'] |
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Make an Arabic copy of the labels; detect should return an Arabic result.
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