Merge pull request 'add the best model' (#1) from final-model into master
Reviewed-on: #1
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commit
4fbe1fc9f9
@ -7,6 +7,7 @@ The goal of the project is to create a system that recognizes emotions in real t
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## Start system
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## Start system
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- unpack input.zip file
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- unpack input.zip file
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- <code> pip install -r < requirements.txt <code>>
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- <code>python project.py</code>
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- <code>python project.py</code>
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## Train and use model
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## Train and use model
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File diff suppressed because one or more lines are too long
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project.py
21
project.py
@ -27,22 +27,11 @@ while True:
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pred = loaded_model.predict(roi[np.newaxis, :, :, np.newaxis])
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pred = loaded_model.predict(roi[np.newaxis, :, :, np.newaxis])
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text_idx=np.argmax(pred)
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text_idx=np.argmax(pred)
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text_list = ['Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprise']
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text_list = ['Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprise']
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if text_idx == 0:
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try:
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text= text_list[0]
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text = text_list[text_idx]
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if text_idx == 1:
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except:
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text= text_list[1]
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text = 'err'
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elif text_idx == 2:
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cv2.putText(img, text, (x, y-5), cv2.FONT_HERSHEY_SIMPLEX, 2.5, (255, 0, 255), 2)
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text= text_list[2]
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elif text_idx == 3:
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text= text_list[3]
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elif text_idx == 4:
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text= text_list[4]
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elif text_idx == 5:
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text= text_list[5]
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elif text_idx == 6:
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text= text_list[6]
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cv2.putText(img, text, (x, y-5),
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cv2.FONT_HERSHEY_SIMPLEX, 0.45, (255, 0, 255), 2)
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img = cv2.rectangle(img, (x,y), (x+w, y+h), (0,0,255), 2)
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img = cv2.rectangle(img, (x,y), (x+w, y+h), (0,0,255), 2)
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13
requirements.txt
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13
requirements.txt
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@ -0,0 +1,13 @@
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tensorflow-addons==0.16.1
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tensorflow-datasets==4.6.0
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tensorflow-estimator==2.10.0
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tensorflow==2.11.0
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tensorflow-metadata==1.10.0
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opencv-contrib-python==4.5.5.62
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numpy==1.23.3
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matplotlib==3.6.0
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matplotlib-inline==0.1.6
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pandas==1.5.2
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kaggle==1.5.12
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keras==2.10.0
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Keras-Preprocessing==1.1.2
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