Add mask download

app.py

@@ -1,7 +1,10 @@
 # -*- coding: utf-8 -*-
 
 import sys
-from fastapi import FastAPI, File, UploadFile, Form, Response
+import os
+import uuid
+from datetime import datetime
+from fastapi import FastAPI, File, UploadFile, Form, HTTPException
 from fastapi import Request
 import requests
 import cv2
@@ -23,6 +26,12 @@ default_model = list(model_paths.keys())[0]
 default_model_info = model_paths[default_model]
 loaded_models = {default_model: pipeline(default_model_info['task'], model=default_model_info['path'])}
 
+UPLOAD_FOLDER = "./upload"
+OUTPUT_FOLDER = "./output"
+
+os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+os.makedirs(OUTPUT_FOLDER, exist_ok=True)
+
 
 class ModelLoader:
     def __init__(self):
@@ -62,13 +71,26 @@ async def matting(image: UploadFile = File(...), model: str = Form(default=defau
 
     selected_model = model_loader.load_model(model)
 
+    filename = uuid.uuid4()
+    original_image_filename = f"original_{filename}.png"
+    image_filename = f"image_{filename}.png"
+    mask_filename = f"mask_{filename}.png"
+
+    cv2.imwrite(os.path.join(UPLOAD_FOLDER, original_image_filename), img)
+
     result = selected_model(img)
 
-    output_img = result[OutputKeys.OUTPUT_IMG]
+    cv2.imwrite(os.path.join(OUTPUT_FOLDER, image_filename), result[OutputKeys.OUTPUT_IMG])
+    cv2.imwrite(os.path.join(OUTPUT_FOLDER, mask_filename), result['output_img'][:, :, 3])
 
-    output_bytes = cv2.imencode('.png', output_img)[1].tobytes()
+    response_data = {
+        "result_image_url": f"/output/{image_filename}",
+        "mask_image_url": f"/output/{mask_filename}",
+        "original_image_size": {"width": img.shape[1], "height": img.shape[0]},
+        "generation_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+    }
 
-    return Response(content=output_bytes, media_type='image/png')
+    return response_data
 
 
 @app.post("/matting/url")
@@ -77,34 +99,50 @@ async def matting_url(request: Request, model: str = Form(default=default_model,
         json_data = await request.json()
         image_url = json_data.get("image_url")
     except Exception as e:
-        return {"content": f"Error parsing JSON data: {str(e)}"}, 400
+        raise HTTPException(status_code=400, detail=f"Error parsing JSON data: {str(e)}")
 
     if not image_url:
-        return {"content": "Image URL is required"}, 400
+        raise HTTPException(status_code=400, detail="Image URL is required")
-
-    response = requests.get(image_url)
-    if response.status_code != 200:
-        return {"content": "Failed to fetch image from URL"}, 400
 
-    img_array = np.frombuffer(response.content, dtype=np.uint8)
+    try:
-    img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
+        response = requests.get(image_url)
+        response.raise_for_status()
+        img_array = np.frombuffer(response.content, dtype=np.uint8)
+        img = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
+    except requests.RequestException as e:
+        raise HTTPException(status_code=400, detail=f"Failed to fetch image from URL: {str(e)}")
 
     if model not in model_paths:
-        return {"content": "Invalid model selection"}, 400
+        raise HTTPException(status_code=400, detail="Invalid model selection")
 
     selected_model = model_loader.load_model(model)
 
+    filename = uuid.uuid4()
+    original_image_filename = f"original_{filename}.png"
+    image_filename = f"image_{filename}.png"
+    mask_filename = f"mask_{filename}.png"
+
+    cv2.imwrite(os.path.join(UPLOAD_FOLDER, original_image_filename), img)
+
     result = selected_model(img)
 
-    output_img = result[OutputKeys.OUTPUT_IMG]
+    cv2.imwrite(os.path.join(OUTPUT_FOLDER, image_filename), result[OutputKeys.OUTPUT_IMG])
+    cv2.imwrite(os.path.join(OUTPUT_FOLDER, mask_filename), result['output_img'][:, :, 3])
 
-    output_bytes = cv2.imencode('.png', output_img)[1].tobytes()
+    response_data = {
+        "result_image_url": f"/output/{image_filename}",
+        "mask_image_url": f"/output/{mask_filename}",
+        "original_image_size": {"width": img.shape[1], "height": img.shape[0]},
+        "generation_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+    }
 
-    return Response(content=output_bytes, media_type='image/png')
+    return response_data
 
 
 templates = Jinja2Templates(directory="web")
-app.mount("/static", StaticFiles(directory="web/static"), name="static")
+app.mount("/static", StaticFiles(directory="./web/static"), name="static")
+app.mount("/output", StaticFiles(directory="./output"), name="output")
+app.mount("/upload", StaticFiles(directory="./upload"), name="upload")
 
 
 @app.get("/")
@@ -115,5 +153,6 @@ async def read_index(request: Request):
 
 if __name__ == "__main__":
     import uvicorn
+
     defult_bind_host = "0.0.0.0" if sys.platform != "win32" else "127.0.0.1"
     uvicorn.run(app, host=defult_bind_host, port=8000)

web/index.html

@@ -4,54 +4,13 @@
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Image Matting</title>
+    <title>Simple Image Matting</title>
-    <style>
+    <link rel="stylesheet" href="./static/css/style.css">
-        body {
-            font-family: 'Arial', sans-serif;
-            background-color: #f4f4f4;
-            margin: 0;
-            padding: 0;
-        }
-
-        header {
-            background-color: #333;
-            color: white;
-            padding: 1em;
-            text-align: center;
-        }
-
-        main {
-            max-width: 800px;
-            margin: 2em auto;
-            background-color: white;
-            padding: 2em;
-            box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-            text-align: center;
-        }
-
-        #upload-form {
-            text-align: center;
-            margin-bottom: 2em;
-        }
-
-        #images-container {
-            display: flex;
-            justify-content: space-between;
-            align-items: center;
-        }
-
-        #original-img,
-        #result-img {
-            max-width: 45%;
-            height: auto;
-            border: 1px solid #ccc;
-        }
-    </style>
 </head>
 
 <body>
     <header>
-        <h1>Image Matting</h1>
+        <h1>Simple Image Matting</h1>
     </header>
     <a href="https://github.com/ihmily/image-matting"><img style="position: absolute; top: 0; right: 0; border: 0;" decoding="async" width="149" height="149" src="/static/images/forkme_right_gray_6d6d6d.png" class="attachment-full size-full" alt="Fork me on GitHub" loading="lazy" data-recalc-dims="1"></a>
     <main>
@@ -71,10 +30,15 @@
 
         <div id="images-container">
             <img id="original-img" alt=" " src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7">
+            <img id="mask-img" alt=" " src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7">
             <img id="result-img" alt=" " src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7">
         </div>
     </main>
 
+    <footer>
+        <p>&copy; 2024 Hmily. All rights reserved.</p>
+    </footer>
+
     <script>
         document.getElementById("image-upload").addEventListener("change", function() {
             const inputElement = this;
@@ -84,6 +48,7 @@
                 const originalImgElement = document.getElementById("original-img");
                 originalImgElement.src = URL.createObjectURL(file);
                 document.getElementById("result-img").src = "data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7";
+                document.getElementById("mask-img").src = "data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7";
             }
         });
 
@@ -106,9 +71,15 @@
                 });
 
                 if (response.ok) {
-                    const resultBlob = await response.blob();
+                    const responseData = await response.json();
+
                     const resultImgElement = document.getElementById("result-img");
-                    resultImgElement.src = URL.createObjectURL(resultBlob);
+                    resultImgElement.src = responseData.result_image_url;
+
+                    const maskImgElement = document.getElementById("mask-img");
+                    maskImgElement.src = responseData.mask_image_url;
+
+                    console.log(`Matting successful!\nOriginal Image Size: ${responseData.original_image_size.width} x ${responseData.original_image_size.height}\nGeneration Time: ${responseData.generation_time}`);
                 } else {
                     alert("Matting failed. Please try again.");
                 }

web/static/css/style.css

@@ -0,0 +1,53 @@
+body {
+    font-family: 'Arial', sans-serif;
+    background-color: #f4f4f4;
+    margin: 0;
+    padding: 0;
+}
+
+header {
+    background-color: #333;
+    color: white;
+    padding: 1em;
+    text-align: center;
+}
+
+main {
+    max-width: 1200px;
+    margin: 2em auto;
+    background-color: white;
+    padding: 2em;
+    box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+    text-align: center;
+}
+
+#upload-form {
+    text-align: center;
+    margin-bottom: 2em;
+}
+
+#images-container {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 2em; /* Add spacing */
+}
+
+#original-img,
+#mask-img,
+#result-img {
+    max-width: 30%;
+    height: auto;
+    border: 1px solid #ccc;
+    margin: 0.5em; /* Add spacing */
+}
+
+footer {
+    background-color: #333;
+    color: white;
+    text-align: center;
+    padding: 1em;
+    position: fixed;
+    bottom: 0;
+    width: 100%;
+}