Streamlit / resources /model_list.json
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{
"au_detectors": {
"svm": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/svm_60_July2023.pkl"
]
},
"xgb": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU1_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU2_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU4_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU5_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU6_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU7_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU9_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU10_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU11_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU12_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU14_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU15_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU17_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU20_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU23_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU24_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU25_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU26_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU28_XGB.ubj",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/July4_AU43_XGB.ubj"
]
},
"hog-pca": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Upperpca_June30.pkl",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Upperscalar_June30.pkl",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Lowerpca_June30.pkl",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Lowerscalar_June30.pkl",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Fullpca_June30.pkl",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/all_data_Fullscalar_June30.pkl"
]
}
},
"emotion_detectors": {
"resmasknet": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/ResMaskNet_Z_resmasking_dropout1_rot30.pth",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/ResMaskNet_fer2013_config.json"
]
},
"svm": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/July4_emo_SVM.pkl"
]
},
"emo_scalar": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/emo_data_Fullpca_Jun30.pkl"
]
},
"emo_pca": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/emo_data_Fullscalar_Jun30.pkl"
]
}
},
"face_detectors": {
"retinaface": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/mobilenet0.25_Final.pth"
]
},
"mtcnn": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/onet.pt",
"https://github.com/cosanlab/feat/releases/download/v0.1/pnet.pt",
"https://github.com/cosanlab/feat/releases/download/v0.1/rnet.pt"
]
},
"faceboxes": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/FaceBoxesProd.pth"
]
},
"img2pose": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/img2pose_v1.pth",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_mean_v1.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_stddev_v1.npy"
]
},
"img2pose-c": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/img2pose_v1_ft_300w_lp.pth",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_mean_v1.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_stddev_v1.npy"
]
}
},
"landmark_detectors": {
"lbfmodel": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/lbfmodel.yaml"
]
},
"mobilefacenet": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/mobilefacenet_model_best.pth.tar"
]
},
"mobilenet": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/mobilenet_224_model_best_gdconv_external.pth.tar"
]
},
"pfld": {
"urls": [
"https://github.com/cosanlab/feat/releases/download/v0.1/pfld_model_best.pth.tar"
]
}
},
"facepose_detectors": {
"img2pose": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/reference_3d_68_points_trans.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/img2pose_v1.pth",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_mean_v1.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_stddev_v1.npy"
]
},
"img2pose-c": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/reference_3d_68_points_trans.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/img2pose_v1_ft_300w_lp.pth",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_mean_v1.npy",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/WIDER_train_pose_stddev_v1.npy"
]
}
},
"viz_models": {
"pyfeat_aus_to_landmarks": {
"urls": [
"https://github.com/cosanlab/py-feat/releases/download/v0.1/pyfeat_aus_to_landmarks.joblib",
"https://github.com/cosanlab/py-feat/releases/download/v0.1/pyfeat_aus_to_landmarks.h5"
]
}
}
}