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from flask import Flask, request, jsonify
from detector.gesture_detector import detect_gesture
from flask import send_from_directory
app = Flask(__name__)
@app.route("/detect", methods=["POST"])
def detect():
if "image" not in request.files:
return jsonify({"error": "No image"}), 400
file = request.files["image"]
result = detect_gesture(file)
return jsonify({
# "image_base64": result["image_base64"],
"saved_to": result["saved_to"],
"detections": result["detections"],
"total_detections": result["total_detections"]
})
@app.route('/detected_images/<path:filename>')
def serve_detected_image(filename):
return send_from_directory('/tmp/detected_images', filename)
@app.route("/")
def index():
return """
<!DOCTYPE html>
<html>
<head>
<title>Gesture Detection</title>
<style>
body {
font-family: 'Segoe UI', sans-serif;
background: linear-gradient(to right, #eef2f3, #8e9eab);
padding: 40px;
max-width: 800px;
margin: auto;
}
h1 {
text-align: center;
color: #333;
}
form, .nav-buttons {
background-color: #fff;
padding: 25px;
border-radius: 15px;
box-shadow: 0 4px 8px rgba(0,0,0,0.1);
margin-bottom: 25px;
}
input[type="file"] {
display: block;
margin-bottom: 15px;
}
button {
padding: 10px 25px;
font-size: 16px;
background-color: #28a745;
color: white;
border: none;
border-radius: 6px;
cursor: pointer;
transition: background-color 0.3s;
}
button:hover {
background-color: #218838;
}
.result img {
max-width: 100%;
border-radius: 10px;
margin-top: 15px;
box-shadow: 0 2px 6px rgba(0,0,0,0.2);
}
.nav-buttons {
text-align: center;
}
.nav-buttons a button {
background-color: #007BFF;
margin: 0 10px;
}
.nav-buttons a button:hover {
background-color: #0056b3;
}
</style>
</head>
<body>
<h1>Image-Based Gesture Detection</h1>
<form id="upload-form">
<label for="image"><strong>Upload an image:</strong></label>
<input type="file" id="image" name="image" accept="image/*" required />
<button type="submit">Detect Gesture</button>
</form>
<div class="result" id="result"></div>
<div class="nav-buttons">
<p><strong>Want real-time detection?</strong></p>
<a href="/webcam"><button>Open Webcam</button></a>
</div>
<script>
const form = document.getElementById("upload-form");
const resultDiv = document.getElementById("result");
form.addEventListener("submit", async (e) => {
e.preventDefault();
const imageInput = document.getElementById("image");
const file = imageInput.files[0];
const formData = new FormData();
formData.append("image", file);
resultDiv.innerHTML = "<p>Processing...</p>";
const response = await fetch("/detect", {
method: "POST",
body: formData
});
if (!response.ok) {
resultDiv.innerHTML = "<p style='color:red;'>Error detecting gesture.</p>";
return;
}
const data = await response.json();
resultDiv.innerHTML = `
<p><strong>Total Detections:</strong> ${data.total_detections}</p>
<ul>
${data.detections.map(d => `<li>${d.label} (${(d.confidence * 100).toFixed(1)}%)</li>`).join("")}
</ul>
<img src="${data.saved_to}" alt="Detected Image" />
`;
});
</script>
</body>
</html>
"""
@app.route("/webcam")
def webcam_ui():
return """
<!DOCTYPE html>
<html>
<head>
<title>Live Gesture Detection</title>
<style>
body {
font-family: 'Segoe UI', sans-serif;
background: linear-gradient(to right, #e0eafc, #cfdef3);
padding: 40px;
max-width: 800px;
margin: auto;
text-align: center;
}
h2 {
color: #333;
margin-bottom: 20px;
}
video, canvas {
width: 100%;
max-width: 500px;
border-radius: 10px;
border: 2px solid #ccc;
margin-bottom: 15px;
}
button {
padding: 10px 20px;
font-size: 16px;
background-color: #007bff;
color: white;
border: none;
border-radius: 6px;
margin: 5px;
cursor: pointer;
transition: background-color 0.3s;
}
button:hover {
background-color: #0056b3;
}
#result img {
max-width: 100%;
border-radius: 10px;
box-shadow: 0 2px 6px rgba(0,0,0,0.2);
margin-top: 10px;
}
</style>
</head>
<body>
<h2>Live Gesture Detection via Laptop Camera</h2>
<video id="video" autoplay muted playsinline></video>
<canvas id="canvas" style="display:none;"></canvas>
<br>
<button id="start">Start Detection</button>
<button id="stop">Stop</button>
<div id="result"></div>
<script>
const video = document.getElementById('video');
const canvas = document.getElementById('canvas');
const resultDiv = document.getElementById('result');
let intervalId = null;
navigator.mediaDevices.getUserMedia({ video: true })
.then(stream => {
video.srcObject = stream;
})
.catch(err => {
alert("Failed to access webcam: " + err);
});
document.getElementById("start").onclick = () => {
intervalId = setInterval(async () => {
canvas.width = video.videoWidth;
canvas.height = video.videoHeight;
canvas.getContext('2d').drawImage(video, 0, 0, canvas.width, canvas.height);
canvas.toBlob(async (blob) => {
const formData = new FormData();
formData.append("image", blob, "frame.jpg");
const res = await fetch("/detect", {
method: "POST",
body: formData
});
if (res.ok) {
const data = await res.json();
resultDiv.innerHTML = `
<p><strong>Total Detections:</strong> ${data.total_detections}</p>
<ul>
${data.detections.map(d => `<li>${d.label} (${(d.confidence * 100).toFixed(1)}%)</li>`).join("")}
</ul>
<img src="${data.saved_to}" />
`;
} else {
resultDiv.innerHTML = "<p style='color:red;'>Detection failed.</p>";
}
}, "image/jpeg");
}, 1500);
};
document.getElementById("stop").onclick = () => {
clearInterval(intervalId);
resultDiv.innerHTML = "<p style='color:gray;'>Stopped.</p>";
};
</script>
</body>
</html>
"""
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)
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