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Update app.py
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app.py
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@@ -4,71 +4,52 @@ import numpy as np
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from PIL import Image, ImageOps
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import subprocess
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# --- 1.
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def process_vector(image,
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if image is None: return None, None
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# A
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img_np = np.array(image.convert("RGB"))
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gray = cv2.cvtColor(img_np, cv2.COLOR_RGB2GRAY)
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# --- THE NEW MAGIC STEP: Smart Smoothing ---
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# Bilateral Filter: Ye noise hatata hai par edges ko sharp rakhta hai.
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# Real photos ke liye ye sabse zaroori hai.
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gray_blurred = cv2.bilateralFilter(gray, 9, 75, 75)
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# B. TRACING MODES (Improved)
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if mode == "1. Adaptive Scanner (Best for most photos)":
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# Ye lighting variations ko handle karta hai.
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# Block size 11, C 2 (Standard settings for clean scan)
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binary = cv2.adaptiveThreshold(gray_blurred, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
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cv2.THRESH_BINARY_INV, 11, 2)
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# Simple hard threshold. Value 100 se neeche sab black.
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_, binary = cv2.threshold(gray_blurred, 100, 255, cv2.THRESH_BINARY_INV)
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elif mode == "3. Solid Graphic (Perfect B&W Image)":
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# Agar pehle se hi saaf graphic image hai.
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_, binary = cv2.threshold(gray_blurred, 128, 255, cv2.THRESH_BINARY_INV)
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#
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kernel = np.ones((3,3), np.uint8)
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# Step
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if
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#
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binary = cv2.morphologyEx(binary, cv2.
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# Thoda sa aur bharo taaki solid lage
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binary = cv2.dilate(binary, kernel, iterations=1)
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# Step
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binary = cv2.dilate(binary, kernel, iterations=int(thickness))
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elif thickness < 0:
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# Erode: Makes design thinner
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binary = cv2.erode(binary, kernel, iterations=abs(int(thickness)))
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#
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temp_bmp = "temp_trace.bmp"
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(thresh, binary_final) = cv2.threshold(binary, 128, 255, cv2.THRESH_BINARY)
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cv2.imwrite(temp_bmp, binary_final)
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#
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output_svg = "
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# Potrace Commands
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# -t 5: Thoda noise ignore karega
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# --longcurve: CNC ke liye lambi smooth lines banane ki koshish karega
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cmd = [
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"potrace", temp_bmp,
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"-s", "-o", output_svg,
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"-t", "
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"-a", str(smooth_factor),
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"--longcurve",
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"--opaque"
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]
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@@ -78,46 +59,40 @@ def process_vector(image, mode, fill_gaps, thickness, smooth_factor):
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print(f"Error: {e}")
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return None, None
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#
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return output_svg, Image.fromarray(
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# --- 2. Interface
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custom_css = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;900&display=swap');
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body, .gradio-container { font-family: 'Inter', sans-serif !important; background: #
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#main_card {
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.primary-btn { background:
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.svelte-1g805jl img { border: 1px solid #FF9966; } /* Orange border on preview */
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.
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with gr.Column(elem_id="main_card"):
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gr.Markdown("#
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gr.Markdown("### Professional CNC Tracer for Real Photos")
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gr.Markdown("βΉοΈ **Pro Tip:** Best results come from photos taken straight-on (flat), not at an angle.")
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with gr.Row():
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with gr.Column():
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inp_img = gr.Image(type="pil", label="Upload
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gr.Markdown("### ποΈ
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mode_drp = gr.Dropdown(
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["1. Adaptive Scanner (Best for most photos)", "2. Silhouette / Backlit (Dark Jali, Bright Back)", "3. Solid Graphic (Perfect B&W Image)"],
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value="1. Adaptive Scanner (Best for most photos)",
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label="Tracing Mode"
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)
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btn = gr.Button("
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with gr.Column():
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btn.click(process_vector, inputs=[inp_img,
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app.launch()
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from PIL import Image, ImageOps
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import subprocess
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# --- 1. CNC BRAIN V4 (Solid Shape Logic) ---
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def process_vector(image, threshold_val, solidify_strength, smooth_factor, remove_noise):
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if image is None: return None, None
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# Step A: Convert to Grayscale & Blur (Shine hatane ke liye)
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img_np = np.array(image.convert("RGB"))
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gray = cv2.cvtColor(img_np, cv2.COLOR_RGB2GRAY)
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# Strong Blur to mix Gold Highlight and Shadow
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gray_blurred = cv2.GaussianBlur(gray, (5, 5), 0)
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# Step B: Thresholding (Solid Black logic)
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# Binary Inverse: Jali banegi WHITE, Background banega BLACK (Processing ke liye)
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_, binary = cv2.threshold(gray_blurred, threshold_val, 255, cv2.THRESH_BINARY_INV)
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# Step C: SOLIDIFY (Ye hai wo magic fix)
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# Agar line double aa rahi hai, to hum usse "Dilate" (failayenge) taaki wo jud jaye
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kernel = np.ones((3,3), np.uint8)
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if solidify_strength > 0:
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# Dilate: White hissa (Jali) mota hoga aur beech ke holes bharenge
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binary = cv2.dilate(binary, kernel, iterations=int(solidify_strength))
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# Wapas thoda shape mein laane ke liye halka erode (Optional, balancing)
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binary = cv2.erode(binary, kernel, iterations=1)
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# Step D: Noise Removal (Watermark ke chote daane hatana)
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if remove_noise:
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# Morph Open: Chote white dots (noise) gayab karega
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binary = cv2.morphologyEx(binary, cv2.MORPH_OPEN, kernel, iterations=1)
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# Step E: Invert for Potrace (Potrace needs Black Shape on White)
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# Ab Jali Black ho jayegi, Background White
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final_binary = cv2.bitwise_not(binary)
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# Save Temp
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temp_bmp = "temp_trace.bmp"
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cv2.imwrite(temp_bmp, final_binary)
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# Step F: Vectorize
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output_svg = "ts_vector_solid.svg"
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cmd = [
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"potrace", temp_bmp,
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"-s", "-o", output_svg,
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"-t", "10", # Despeckle level (ignore small text parts)
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"-a", str(smooth_factor),
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"--opaque"
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]
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print(f"Error: {e}")
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return None, None
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# Preview Image (Hum user ko wahi dikhayenge jo Potrace ne dekha)
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return output_svg, Image.fromarray(final_binary)
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# --- 2. Interface ---
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custom_css = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;900&display=swap');
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body, .gradio-container { font-family: 'Inter', sans-serif !important; background: #000000 !important; color: white !important; }
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#main_card { border: 1px solid #333; border-radius: 15px; padding: 20px; background: #111; }
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.primary-btn { background: #FFD700 !important; color: black !important; font-weight: bold !important; }
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.Base(mode='dark')) as app:
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with gr.Column(elem_id="main_card"):
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gr.Markdown("# π TS SOLID TRACER", elem_id="logo_text")
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with gr.Row():
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with gr.Column():
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inp_img = gr.Image(type="pil", label="Upload Photo", height=300)
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gr.Markdown("### ποΈ Settings (Adjust to fix double lines)")
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# Controls optimized for the specific problem
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thresh_sld = gr.Slider(0, 255, value=140, step=1, label="1. Darkness Threshold (Kam=Light gayab, Zyada=Sab Black)")
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solid_sld = gr.Slider(0, 5, value=2, step=1, label="2. Solidify (Double Line Jodne ke liye badhao)")
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noise_chk = gr.Checkbox(label="3. Clean Noise (Watermark dots hataye)", value=True)
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smooth_sld = gr.Slider(0, 1.3, value=1.0, label="4. Smoothing")
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btn = gr.Button("π₯ CREATE SOLID VECTOR", variant="primary", elem_classes=["primary-btn"])
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with gr.Column():
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# Preview ab bohot important hai
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preview_img = gr.Image(label="Computer Vision (Isse check karo)", interactive=False)
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out_file = gr.File(label="Download SVG")
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btn.click(process_vector, inputs=[inp_img, thresh_sld, solid_sld, smooth_sld, noise_chk], outputs=[out_file, preview_img])
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app.launch()
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