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chore: updare the animals model version
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@ -1,6 +1,7 @@
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# coding: utf-8
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# coding: utf-8
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"""
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"""
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for human
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The entrance of humans
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"""
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"""
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import os
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import os
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@ -1,6 +1,7 @@
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# coding: utf-8
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# coding: utf-8
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"""
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"""
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for animal
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The entrance of animal
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"""
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"""
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import os
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import os
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@ -26,10 +26,11 @@ class InferenceConfig(PrintableConfig):
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checkpoint_S: str = make_abs_path('../../pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth') # path to checkpoint to S and R_eyes, R_lip
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checkpoint_S: str = make_abs_path('../../pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth') # path to checkpoint to S and R_eyes, R_lip
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# ANIMAL MODEL CONFIG, NOT EXPORTED PARAMS
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# ANIMAL MODEL CONFIG, NOT EXPORTED PARAMS
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checkpoint_F_animal: str = make_abs_path('../../pretrained_weights/liveportrait_animals/base_models/appearance_feature_extractor.pth') # path to checkpoint of F
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version_animals = "_v1.1" # set it to "" for the previous version
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checkpoint_M_animal: str = make_abs_path('../../pretrained_weights/liveportrait_animals/base_models/motion_extractor.pth') # path to checkpoint pf M
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checkpoint_F_animal: str = make_abs_path(f'../../pretrained_weights/liveportrait_animals/base_models{version_animals}/appearance_feature_extractor.pth') # path to checkpoint of F
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checkpoint_G_animal: str = make_abs_path('../../pretrained_weights/liveportrait_animals/base_models/spade_generator.pth') # path to checkpoint of G
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checkpoint_M_animal: str = make_abs_path(f'../../pretrained_weights/liveportrait_animals/base_models{version_animals}/motion_extractor.pth') # path to checkpoint pf M
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checkpoint_W_animal: str = make_abs_path('../../pretrained_weights/liveportrait_animals/base_models/warping_module.pth') # path to checkpoint of W
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checkpoint_G_animal: str = make_abs_path(f'../../pretrained_weights/liveportrait_animals/base_models{version_animals}/spade_generator.pth') # path to checkpoint of G
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checkpoint_W_animal: str = make_abs_path(f'../../pretrained_weights/liveportrait_animals/base_models{version_animals}/warping_module.pth') # path to checkpoint of W
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checkpoint_S_animal: str = make_abs_path('../../pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth') # path to checkpoint to S and R_eyes, R_lip, NOTE: use human temporarily!
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checkpoint_S_animal: str = make_abs_path('../../pretrained_weights/liveportrait/retargeting_models/stitching_retargeting_module.pth') # path to checkpoint to S and R_eyes, R_lip, NOTE: use human temporarily!
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# EXPORTED PARAMS
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# EXPORTED PARAMS
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@ -60,7 +60,7 @@ class XPoseRunner(object):
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def get_unipose_output(self, image, instance_text_prompt, keypoint_text_prompt, box_threshold, IoU_threshold):
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def get_unipose_output(self, image, instance_text_prompt, keypoint_text_prompt, box_threshold, IoU_threshold):
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instance_list = instance_text_prompt.split(',')
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instance_list = instance_text_prompt.split(',')
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if len(keypoint_text_prompt) == 9:
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if len(keypoint_text_prompt) == 9:
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# torch.Size([1, 512]) torch.Size([9, 512])
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# torch.Size([1, 512]) torch.Size([9, 512])
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ins_text_embeddings, kpt_text_embeddings = self.ins_text_embeddings_9, self.kpt_text_embeddings_9
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ins_text_embeddings, kpt_text_embeddings = self.ins_text_embeddings_9, self.kpt_text_embeddings_9
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