Update app.py
Browse files
app.py
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@@ -9,14 +9,13 @@ def dummy_warmup():
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print("[WARNING] CUDA not available. Skipping warmup.")
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import os
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import numpy as np
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import gradio as gr
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import rembg
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from moge.model.v1 import MoGeModel
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# import os, shutil
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import cv2
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# from huggingface_hub import hf_hub_download
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# from PIL import Image
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@@ -137,31 +136,31 @@ moge_model = MoGeModel.from_pretrained("Ruicheng/moge-vitl").to(device)
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# return outfile
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@GPU(duration = 180)
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def depth_moge(input_img):
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@@ -202,7 +201,8 @@ def process_image(input_img):
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if os.path.exists(outdir):
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shutil.rmtree(outdir)
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os.makedirs(outdir)
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return input_img, input_img
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# def process_image(input_img):
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else:
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print("[WARNING] CUDA not available. Skipping warmup.")
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import os, shutil
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import numpy as np
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import gradio as gr
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import rembg
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import trimesh
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from moge.model.v1 import MoGeModel
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from utils.geometry import compute_pointmap
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import cv2
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# from huggingface_hub import hf_hub_download
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# from PIL import Image
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# return outfile
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def input_to_glb(outdir,img,depth_dict,mask,rotated=False):
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H, W = img.shape[:2]
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intrinsics = depth_dict["intrinsics"].cpu().numpy()
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intrinsics[0] *= W
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intrinsics[1] *= H
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depth = depth_dict["depth"].cpu().numpy()
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cam2world = np.eye(4)
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points_world = compute_pointmap(depth, cam2world, intrinsics)
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scene = trimesh.Scene()
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pts = np.concatenate([p[m] for p,m in zip(points_world,mask)])
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col = np.concatenate([c[m] for c,m in zip(img,mask)])
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pts = pts.reshape(-1,3)
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pts[:,1] = -pts[:,1]
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pts[:,2] = -pts[:,2]
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pct = trimesh.PointCloud(pts, colors=col.reshape(-1,3))
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scene.add_geometry(pct)
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outfile = os.path.join(outdir, "input.glb")
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scene.export(outfile)
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return outfile
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@GPU(duration = 180)
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def depth_moge(input_img):
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if os.path.exists(outdir):
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shutil.rmtree(outdir)
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os.makedirs(outdir)
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input_glb = input_to_glb(outdir,input_img,depth_dict,mask,rotated=rotated)
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print(input_glb)
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return input_img, input_img
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# def process_image(input_img):
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