@@ -942,11 +942,6 @@ def get_confirm_token(response): # in case of large files
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url = 'https://drive.google.com/uc?export=dowload&id=19YWhArrNccaoSza0CfkXlA8im4-lAGsR' ,
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sha = '1b4dd21a6baa5e3523156776970895bd3db6960a' ,
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filename = 'onnx/models/DB_TD500_resnet50.onnx' ),
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- Model (
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- name = 'YuNet' ,
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- url = 'https://github.com/ShiqiYu/libfacedetection.train/raw/1688402dbd9b9fc4a3a6793810f558b7407ff384/tasks/task1/onnx/yunet_120x160.onnx' ,
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- sha = 'dfe691ae0c8e38d39d1a437e3f7e5fda7b256bdd' ,
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- filename = 'onnx/models/yunet-202202.onnx' ),
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Model (
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name = 'face_recognizer_fast' ,
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url = 'https://drive.google.com/uc?export=dowload&id=1ClK9WiB492c5OZFKveF3XiHCejoOxINW' ,
@@ -1020,6 +1015,47 @@ def get_confirm_token(response): # in case of large files
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url = 'https://raw.githubusercontent.com/zihaomu/opencv_extra_data_backup/main/NanoTrackV2/models/nanotrack_head_sim_v2.onnx' ,
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sha = '39f168489671700cf739e402dfc67d41ce648aef' ,
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filename = 'onnx/models/nanotrack_head_sim_v2.onnx' ),
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+ Model (
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+ name = 'Face Mesh (TFLite)' ,
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+ url = 'https://storage.googleapis.com/mediapipe-assets/face_landmark.tflite?generation=1668295060280094' ,
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+ sha = 'eb01d1d88c833aaea64c880506da72e4a4f43154' ,
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+ filename = 'tflite/face_landmark.tflite' ),
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+ Model (
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+ name = 'Face Detection (TFLite)' ,
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+ url = 'https://storage.googleapis.com/mediapipe-assets/face_detection_short_range.tflite?generation=1661875748538815' ,
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+ sha = 'e8f749fafc23bb88daac85bc9f7e0698436f29a0' ,
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+ filename = 'tflite/face_detection_short_range.tflite' ),
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+ Model (
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+ name = 'Selfie Segmentation (TFLite)' ,
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+ url = 'https://storage.googleapis.com/mediapipe-assets/selfie_segmentation.tflite?generation=1661875931201364' ,
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+ sha = '8d497f51bd678fa5fb95c3871be72eb5d722b831' ,
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+ filename = 'tflite/selfie_segmentation.tflite' ),
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+ Model (
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+ name = 'Hair Segmentation (TFLite)' ,
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+ url = 'https://storage.googleapis.com/mediapipe-assets/hair_segmentation.tflite?generation=1661875756623461' ,
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+ sha = 'bba28400dfc264b1ed7ee95df718fada1879644d' ,
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+ filename = 'tflite/hair_segmentation.tflite' ),
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+ Model (
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+ name = 'YuNet' ,
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+ url = 'https://github.com/ShiqiYu/libfacedetection.train/raw/02246e79b1e976c83d1e135a85e0628120c93769/onnx/yunet_s_640_640.onnx' ,
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+ sha = 'acbe4b5976ade60c4b866a30d0720d71589c8bbc' ,
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+ filename = 'onnx/models/yunet-202303.onnx' ),
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+ Model (
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+ name = 'EfficientDet (TFLite)' ,
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+ url = 'https://storage.googleapis.com/mediapipe-assets/coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite?generation=1661875692679200' ,
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+ sha = '200217d746d58e68028a64ad0472631060e6affb' ,
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+ filename = 'tflite/coco_efficientdet_lite0_v1_1.0_quant_2021_09_06.tflite' ),
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+ Model (
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+ name = 'PP_OCRv3_DB_text_det (ONNX)' ,
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+ url = 'https://github.com/zihaomu/zihaomu/files/9740907/PP_OCRv3_DB_text_det.tar.gz' ,
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+ sha = 'a2a008361d785fbe32a22ec2106621ecd1576f48' ,
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+ filename = 'PP_OCRv3_DB_text_det.tar.gz' ),
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+ Model (
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+ name = 'PP_OCRv3_DB_text_det (ONNX)' ,
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+ archive = 'PP_OCRv3_DB_text_det.tar.gz' ,
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+ member = 'PP_OCRv3_DB_text_det/PP_OCRv3_DB_text_det.onnx' ,
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+ sha = 'f541f0b448561c7ad919ba9fffa72ff105062934' ,
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+ filename = 'onnx/models/PP_OCRv3_DB_text_det.onnx' ),
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]
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# Note: models will be downloaded to current working directory
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