diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..e36d61222f23ecebbf4a55af171cfb7b500b31d2 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +*.pyc +*.pth diff --git a/app.py b/app.py index 2ea044545ba129b5b983a71186d34ff0847c4a1d..aaa56c367c26daeed71c125326ed168d6bac02b1 100644 --- a/app.py +++ b/app.py @@ -8,6 +8,7 @@ import ninja import torch from tqdm import trange import imageio +import requests print('load!', flush=True) checkpoint = 'clevr.pth' @@ -233,38 +234,39 @@ RT = torch.tensor([[ -1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.5000, print('prepare finish', flush=True) -def inference(name): +def predict(name): print('inference', name, flush=True) gen = G(code, RT, bevs) rgb = gen['gen_output']['image'][0] * .5 + .5 print('inference', name, flush=True) - return np.array(to_pil(rgb)) + return to_pil(rgb) # to_pil(rgb).save('tmp.png') # save_path = '/mnt/petrelfs/zhangqihang/code/3d-scene-gen/tmp.png' # return [save_path] +URL = "https://source.unsplash.com/random/500x500/?nature,fruit" + +def refresh(name): + image = Image.open(requests.get(URL, stream=True).raw) + return image + with gr.Blocks() as demo: gr.HTML( """ - abc + BerfScene demo """) - with gr.Group(): - with gr.Row(): - with gr.Column(): - with gr.Row(): - with gr.Column(): - with gr.Row(): - num_frames = gr.Dropdown(["24 - frames", "32 - frames", "40 - frames", "48 - frames", "56 - frames", "80 - recommended to run on local GPUs", "240 - recommended to run on local GPUs", "600 - recommended to run on local GPUs", "1200 - recommended to run on local GPUs", "10000 - recommended to run on local GPUs"], label="Number of Video Frames", info="For >56 frames use local workstation!", value="24 - frames") + # gallery = gr.Image(show_label=False) + image = gr.Image(show_label=False) + btn = gr.Button("Result") - with gr.Row(): - with gr.Row(): - btn = gr.Button("Result") - - gallery = gr.Image(label='img', show_label=True, elem_id="gallery") + x = 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