jhj0517
commited on
Commit
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a874577
1
Parent(s):
606190d
add test code
Browse files
app.py
CHANGED
@@ -1,12 +1,36 @@
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import gradio as gr
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from musepose_inference import MusePoseInference
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from pose_align import PoseAlignmentInference
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class App:
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def __init__(self):
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self.pose_alignment_infer = PoseAlignmentInference()
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self.musepose_infer = MusePoseInference()
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def musepose_demo(self):
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with gr.Blocks() as demo:
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with gr.Tabs():
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@@ -27,11 +51,13 @@ class App:
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with gr.Row():
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btn_algin_pose = gr.Button("ALIGN POSE", variant="primary")
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btn_algin_pose.click(fn=self.pose_alignment_infer.align_pose,
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inputs=[vid_dance_input, img_input, nb_detect_resolution, nb_image_resolution,
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nb_align_frame, nb_max_frame],
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outputs=[vid_dance_output, vid_dance_output_demo])
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with gr.TabItem('Step2: MusePose Inference'):
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with gr.Row():
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import gradio as gr
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import os
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from huggingface_hub import hf_hub_download
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from musepose_inference import MusePoseInference
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from pose_align import PoseAlignmentInference
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class App:
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def __init__(self):
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self.pose_alignment_infer = PoseAlignmentInference()
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self.musepose_infer = MusePoseInference()
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@staticmethod
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def download_models():
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repo_id = 'jhj0517/MusePose'
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model_paths = {
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"det_ckpt": os.path.join("pretrained_weights", "dwpose", "yolox_l_8x8_300e_coco.pth"),
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"pose_ckpt": os.path.join("pretrained_weights", "dwpose", "dw-ll_ucoco_384.pth")
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}
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for name, file_path in model_paths.items():
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local_dir, filename = os.path.dirname(file_path), os.path.basename(file_path)
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if not os.path.exists(local_dir):
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os.makedirs(local_dir)
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remote_filepath = os.path.join("dwpose", filename)
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if not os.path.exists(file_path):
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print(file_path)
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hf_hub_download(repo_id=repo_id, filename=remote_filepath,
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local_dir=local_dir,
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local_dir_use_symlinks=False)
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def musepose_demo(self):
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with gr.Blocks() as demo:
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with gr.Tabs():
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with gr.Row():
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btn_algin_pose = gr.Button("ALIGN POSE", variant="primary")
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btn_down = gr.Button("download", variant="primary")
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btn_algin_pose.click(fn=self.pose_alignment_infer.align_pose,
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inputs=[vid_dance_input, img_input, nb_detect_resolution, nb_image_resolution,
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nb_align_frame, nb_max_frame],
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outputs=[vid_dance_output, vid_dance_output_demo])
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btn_down(fn=self.download_models, inputs=None, outputs=None)
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with gr.TabItem('Step2: MusePose Inference'):
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with gr.Row():
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