xmrt commited on
Commit
07f1d5d
·
1 Parent(s): a55b892

new config

Browse files
Files changed (1) hide show
  1. main_noweb.py +7 -3
main_noweb.py CHANGED
@@ -15,6 +15,7 @@ import moviepy.editor as moviepy
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  import os
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  import glob
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  import uuid
 
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  # Image manipulation
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  import numpy as np
@@ -30,7 +31,7 @@ else:
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  os.system("nvidia-smi")
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  print("[INFO]: Imported modules!")
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- human = MMPoseInferencer(pose2d="human")
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  hand = MMPoseInferencer("hand")
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  human3d = MMPoseInferencer(pose3d="human3d")
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  track_model = YOLO('yolov8n.pt') # Load an official Detect model
@@ -161,7 +162,10 @@ def pose2d(video, kpt_threshold):
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  print(glob.glob(os.path.join(add_dir, "*.json")))
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  print(os.listdir(add_dir))
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- return "".join(out_file), "".join(kpoints)
 
 
 
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  def pose2dhand(video, kpt_threshold):
@@ -196,7 +200,7 @@ with block:
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  with gr.Column():
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  with gr.Row():
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  with gr.Column():
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- video_input = gr.Video(source="upload", type="filepath", height=612)
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  # Insert slider with kpt_thr
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  file_kpthr = gr.Slider(0, 1, value=0.3, label='Keypoint threshold')
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  with gr.Row():
 
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  import os
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  import glob
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  import uuid
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+ import json
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  # Image manipulation
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  import numpy as np
 
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  os.system("nvidia-smi")
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  print("[INFO]: Imported modules!")
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+ human = MMPoseInferencer("dekr_hrnet-w32_8xb10-140e_coco-512x512.py")
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  hand = MMPoseInferencer("hand")
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  human3d = MMPoseInferencer(pose3d="human3d")
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  track_model = YOLO('yolov8n.pt') # Load an official Detect model
 
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  print(glob.glob(os.path.join(add_dir, "*.json")))
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  print(os.listdir(add_dir))
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+ with open('path_to_file/person.json', 'r') as f:
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+ data = json.load(kpoints)
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+
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+ return "".join(out_file), data # "".join(kpoints)
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  def pose2dhand(video, kpt_threshold):
 
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  with gr.Column():
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  with gr.Row():
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  with gr.Column():
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+ video_input = gr.Video(source="upload", type="filepath", height=512, width=512)
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  # Insert slider with kpt_thr
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  file_kpthr = gr.Slider(0, 1, value=0.3, label='Keypoint threshold')
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  with gr.Row():