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10696ac
1
Parent(s):
59ff21b
Update app.py
Browse files
app.py
CHANGED
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@@ -1,9 +1,15 @@
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import gradio as gr
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import torch
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import numpy as np
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from transformers import AutoProcessor, AutoModel
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from PIL import Image
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from decord import VideoReader,
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def sample_uniform_frame_indices(clip_len, seg_len):
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"""
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@@ -21,7 +27,7 @@ def sample_uniform_frame_indices(clip_len, seg_len):
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return np.array(indices).astype(np.int64)
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def read_video_decord(file_path, indices):
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vr = VideoReader(file_path, num_threads=1, ctx=
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video = vr.get_batch(indices).asnumpy()
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return video
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@@ -62,6 +68,7 @@ def model_interface(uploaded_video, model_choice, activities):
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processor = AutoProcessor.from_pretrained(model_choice)
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model = AutoModel.from_pretrained(model_choice)
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activities_list = activities.split(",")
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inputs = processor(
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import gradio as gr
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import torch
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print(f"Is CUDA available: {torch.cuda.is_available()}")
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# True
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print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
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# Tesla T4
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import numpy as np
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from transformers import AutoProcessor, AutoModel
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from PIL import Image
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from decord import VideoReader, gpu
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def sample_uniform_frame_indices(clip_len, seg_len):
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"""
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return np.array(indices).astype(np.int64)
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def read_video_decord(file_path, indices):
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vr = VideoReader(file_path, num_threads=1, ctx=gpu(0))
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video = vr.get_batch(indices).asnumpy()
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return video
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processor = AutoProcessor.from_pretrained(model_choice)
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model = AutoModel.from_pretrained(model_choice)
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model = model.to("cuda")
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activities_list = activities.split(",")
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inputs = processor(
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