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Integrate Inria Front-end in the modules (#56)
* Refs #21906: Include WP4 initial commit Signed-off-by: eProsima <[email protected]> * Refs #21906: Manage unconfigured kaggle api profile configuration Signed-off-by: eProsima <[email protected]> * Refs #21906: Use python file path for looking for csv file Signed-off-by: eProsima <[email protected]> * Refs #21906: Update backend node port so they are not overlayed Signed-off-by: eProsima <[email protected]> * Refs #21906: Update all returned information as JSON Signed-off-by: eProsima <[email protected]> * Refs #21906: Allow send user input data through python orchestrator node Signed-off-by: eProsima <[email protected]> * Refs #21906: Update Front-end to send data Signed-off-by: eProsima <[email protected]> * Refs #21906: Show status and results in the Front-end Signed-off-by: eProsima <[email protected]> * Refs #21906: Apply rev suggestions Signed-off-by: eProsima <[email protected]> --------- Signed-off-by: eProsima <[email protected]>
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flask | ||
flask-socketio==5.2.0 | ||
kaggle | ||
networkx>=3.0 | ||
numpy>=1.24.1 | ||
ollama | ||
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sustainml_modules/sustainml_modules/sustainml-wp4/LICENSE
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# SustainML WP4 Front-end Node | ||
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> :warning: **TODO** |
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sustainml_modules/sustainml_modules/sustainml-wp4/ResearchData.csv
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Data modality,Problem type,Evaluation metrics,Model | ||
Image/video,Image Classification,Accuracy,CNN | ||
Image/video,Image Classification,Precision,Transfer Learning Models | ||
Image/video,Image Classification,Sensitivity,ViT | ||
Image/video,Image Classification,F1 Score,CNN | ||
Image/video,Image Classification,Confusion Matrix,Transfer Learning Models | ||
Image/video,Image Classification,ROC,CNN | ||
Image/video,Image Classification,AUC-ROC,ViT | ||
Image/video,Object Detection,IoU,R-CNN | ||
Image/video,Object Detection,mAP,YOLO | ||
Image/video,Object Detection,Precision-Recall Curve,SSD | ||
Image/video,Object Detection,AP,Detectron2 | ||
Image/video,Image Segmentation,Pixel Accuracy, R-CNN | ||
Image/video,Image Segmentation,Mean IoU,SegNetMask | ||
Image/video,Image Segmentation,F1 Score,U-Net | ||
Image/video,Image Segmentation,Boundary F1 Score,FCNs | ||
Image/video,Video Analysis,Frame-Level Metrics,C3D | ||
Image/video,Video Analysis,Video-Level Metrics,RNNs | ||
Image/video,Video Analysis,mAP,Two-Stream Networks | ||
Image/video,Video Analysis,IoU,Transformers | ||
Text,Text Classification,Accuracy,RNNs | ||
Text,Text Classification,Precision,CNNs | ||
Text,Text Classification,Sensitivity,Transformers | ||
Text,Text Classification,F1 Score,Traditional Models | ||
Text,Text Classification,Confusion Matrix,Traditional Models | ||
Text,Text Classification,ROC Curve,Transformers | ||
Text,Text Classification,AUC-ROC,RNNs | ||
Text,Text Classification,Precision-Recall Curve,RNNs | ||
Text,Text Classification,AP,Transformers | ||
Text,Text Generation,BLEU ,Traditional Models | ||
Text,Text Generation,ROUGE,Seq2Seq Models | ||
Text,Text Generation,METEOR,Seq2Seq Models | ||
Text,Text Generation,CIDEr,Traditional Models | ||
Text,Text Generation,Perplexity,Seq2Seq Models | ||
Text,Sentiment Analysis,Accuracy,Traditional Models | ||
Text,Sentiment Analysis,Precision,RNNs | ||
Text,Sentiment Analysis,Sensitivity,Traditional Models | ||
Text,Sentiment Analysis,F1 Score,Seq2Seq Models | ||
Text,Sentiment Analysis,Confusion Matrix,Traditional Models | ||
Text,NER,Precision,CRF | ||
Text,NER,Sensitivity,RNNs | ||
Text,NER,F1 Score,CRF | ||
Text,NER,Entity-Level Metrics,RNNs | ||
Text,Machine Translation,BLEU,Transformers | ||
Text,Machine Translation,ROUGE,RNNs | ||
Text,Machine Translation,METEOR,Transformers | ||
Text,Machine Translation,TER,RNNs | ||
Sensor,Anomaly Detection,Sensitivity,Statistical Models | ||
Sensor,Anomaly Detection,False Positive Rate,Deep Learning Models | ||
Sensor,Anomaly Detection,Precision,Statistical Models | ||
Sensor,Anomaly Detection,F1 Score,Deep Learning Models | ||
Sensor,Anomaly Detection,ROC,Deep Learning Models | ||
Sensor,Anomaly Detection,AUC-ROC,Statistical Models | ||
Sensor,Anomaly Detection,Precision-Recall Curve,Deep Learning Models | ||
Sensor,Anomaly Detection,AUC-PR,Statistical Models | ||
Sensor,Time Series Forecasting,MAE,Deep Learning Models | ||
Sensor,Time Series Forecasting,MSE,Statistical Models | ||
Sensor,Time Series Forecasting,RMSE,Deep Learning Models | ||
Sensor,Time Series Forecasting,MAPE,Statistical Models | ||
Sensor,Time Series Forecasting,sMAPE,Deep Learning Models | ||
Sensor,Time Series Forecasting,R²,Statistical Models | ||
Sensor,Classification,Accuracy,Traditional Models | ||
Sensor,Classification,Precision,Deep Learning Models | ||
Sensor,Classification,Sensitivity,Traditional Models | ||
Sensor,Classification,F1 Score,Deep Learning Models | ||
Sensor,Classification,Confusion Matrix,Traditional Models | ||
Sensor,Classification,AUC-ROC,Deep Learning Models | ||
Sensor,Classification,ROC Curve,Traditional Models | ||
Sensor,Classification,Precision-Recall Curve,Deep Learning Models | ||
Sensor,Classification,AUC-PR,Traditional Models | ||
Sensor,Regression,MAE,Deep Learning Models | ||
Sensor,Regression,MSE,Traditional Models | ||
Sensor,Regression,RMSE,Deep Learning Models | ||
Sensor,Regression,MAPE,Traditional Models | ||
audio,Speech Recognition,WER,RNNs | ||
audio,Speech Recognition,CER,End-to-End Models | ||
audio,Speech Recognition,SER,HMM | ||
audio,Speaker Identification and Verification,Accuracy,"GMM-UBM,i-vectors" | ||
audio,Speaker Identification and Verification,EER,i-vectors | ||
audio,Speaker Identification and Verification,DET,GMM-UBM | ||
audio,Emotion Recognition,Accuracy,Traditional Models | ||
audio,Emotion Recognition,Precision,Deep Learning Models | ||
audio,Emotion Recognition,Sensitivity,Traditional Models | ||
audio,Emotion Recognition,F1 Score,Deep Learning Models | ||
audio,Emotion Recognition,Confusion Matrix,Traditional Models | ||
audio,Audio Classification,Accuracy,RNNs | ||
audio,Audio Classification,Precision,CNNs | ||
audio,Audio Classification,Sensitivity,Transformers | ||
audio,Audio Classification,F1 Score,RNNs | ||
audio,Audio Classification,Confusion Matrix,Transformers | ||
audio,Audio Classification,ROC,CNNs | ||
audio,Audio Classification,AUC-ROC,RNNs | ||
audio,Audio Classification,Precision-Recall Curve,Transformers | ||
audio,Sound Event Detection,Event-Based F1 Score,CNNs | ||
audio,Sound Event Detection,Segment-Based F1 Score,RNNs | ||
audio,Sound Event Detection,mAP,Hybrid Models | ||
audio,Sound Event Detection,IoU,RNNs | ||
audio,Sound Event Detection,DER,CNNs |
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