Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -152,7 +152,8 @@ def generate_video_from_text(text, opt, pipeline):
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os.makedirs(save_dir, exist_ok=True)
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print("xxxxxxx")
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print(
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print("xxxxxxx")
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start_time = time.perf_counter()
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@@ -164,6 +165,9 @@ def generate_video_from_text(text, opt, pipeline):
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start_time = time.perf_counter()
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mean = np.load(pjoin(opt.meta_dir, 'mean.npy'))
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std = np.load(pjoin(opt.meta_dir, 'std.npy'))
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samples = []
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@@ -187,15 +191,7 @@ def generate_video_from_text(text, opt, pipeline):
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motion = samples[i]
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kinematic_tree = paramUtil.t2m_kinematic_chain if (opt.dataset_name == 't2m') else paramUtil.kit_kinematic_chain
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plot_3d_motion(save_path, kinematic_tree, motion, title=title, fps=opt.fps, radius=opt.radius)
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print(kinematic_tree)
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print(motion)
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print(len(samples))
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print(title)
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print(opt.fps)
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print(opt.radius)
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os.system("ls temp")
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os.system("pwd")
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gr.Info("Rendered motion...", duration = 3)
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end_time = time.perf_counter()
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os.makedirs(save_dir, exist_ok=True)
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print("xxxxxxx")
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print(texts)
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print(motion_lens)
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print("xxxxxxx")
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start_time = time.perf_counter()
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start_time = time.perf_counter()
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mean = np.load(pjoin(opt.meta_dir, 'mean.npy'))
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std = np.load(pjoin(opt.meta_dir, 'std.npy'))
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print(mean)
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print(std)
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print(pred_motions)
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samples = []
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motion = samples[i]
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kinematic_tree = paramUtil.t2m_kinematic_chain if (opt.dataset_name == 't2m') else paramUtil.kit_kinematic_chain
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plot_3d_motion(save_path, kinematic_tree, motion, title=title, fps=opt.fps, radius=opt.radius)
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gr.Info("Rendered motion...", duration = 3)
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end_time = time.perf_counter()
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