Update app.py
Browse files
app.py
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@@ -12,9 +12,9 @@ def dummy_warmup():
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import numpy as np
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import gradio as gr
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# import trimesh
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# from utils.geometry import compute_pointmap
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# import os, shutil
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import cv2
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@@ -177,24 +177,24 @@ import cv2
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# output = moge_model.infer(input_img_torch).cpu()
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# return output
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@GPU(duration = 180)
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def process_image(input_img):
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@@ -205,7 +205,7 @@ def process_image(input_img):
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rotated = True
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input_img = cv2.resize(input_img, (640, 480))
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mask, rgb = mask_rembg(input_img)
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depth_dict = 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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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 os, shutil
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import cv2
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# output = moge_model.infer(input_img_torch).cpu()
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# return output
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@GPU(duration = 180)
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def mask_rembg(input_img):
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#masked_img = rembg.remove(input_img,)
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output_img = rembg.remove(input_img, alpha_matting=False, post_process_mask=True)
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# Convert to NumPy array
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output_np = np.array(output_img)
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alpha = output_np[..., 3]
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# Step 2: Erode the alpha mask to shrink object slightly
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kernel = np.ones((3, 3), np.uint8) # Adjust size for aggressiveness
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eroded_alpha = cv2.erode(alpha, kernel, iterations=1)
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# Step 3: Replace alpha channel
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output_np[..., 3] = eroded_alpha
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mask = output_np[:,:,-1] >= 128
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rgb = output_np[:,:,:3]
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return mask, rgb
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@GPU(duration = 180)
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def process_image(input_img):
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rotated = True
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input_img = cv2.resize(input_img, (640, 480))
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mask, rgb = mask_rembg(input_img)
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# depth_dict = 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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