Hugging Face's logo

Spaces:
oceankim
/
hfjsdemo
Running

App Files Community
hfjsdemo
File size: 5,091 Bytes 
d8d37b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
 
<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <title>Object Detection - Hugging Face Transformers.js</title>

    <script type="module">
        // Import the library
        import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';

        // Make it available globally
        window.pipeline = pipeline;
    </script>

    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">

    <link rel="stylesheet" href="css/styles.css">
</head>

<body>
    <div class="container-main">
        <!-- Page Header -->
        <div class="header">
            <div class="header-logo">
                <img src="images/logo.png" alt="logo">
            </div>
            <div class="header-main-text">
                <h1>Hugging Face Transformers.js</h1>
            </div>
            <div class="header-sub-text">
                <h3>Free AI Models for JavaScript Web Development</h3>
            </div>
        </div>
        <hr> <!-- Separator -->

        <!-- Back to Home button -->
        <div class="row mt-5">
            <div class="col-md-12 text-center">
                <a href="index.html" class="btn btn-outline-secondary"
                    style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
            </div>
        </div>

        <!-- Content -->
        <div class="container mt-5">
            <!-- Centered Titles -->
            <div class="text-center">
                <h2>Computer Vision</h2>
                <h4>Object Detection</h4>
            </div>

            <!-- Actual Content of this page -->
            <div id="object-detection-container" class="container mt-4">
                <h5>Run Object Detection with facebook/detr-resnet-50:</h5>
                <div class="d-flex align-items-center">
                    <label for="objectDetectionURLText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter
                        image URL:</label>
                    <input type="text" class="form-control flex-grow-1" id="objectDetectionURLText"
                        value="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg"
                        placeholder="Enter image" style="margin-right: 15px; margin-left: 15px;">
                    <button id="DetectButton" class="btn btn-primary" onclick="detectImage()">Detect</button>
                </div>
                <div class="mt-4">
                    <h4>Output:</h4>
                    <pre id="outputArea"></pre>
                </div>
            </div>

            <hr> <!-- Line Separator -->

            <div id="object-detection-local-container" class="container mt-4">
                <h5>Detect a Local Image:</h5>
                <div class="d-flex align-items-center">
                    <label for="objectDetectionLocalFile" class="mb-0 text-nowrap"
                        style="margin-right: 15px;">Select Local Image:</label>
                    <input type="file" id="objectDetectionLocalFile" accept="image/*" />
                    <button id="DetectButtonLocal" class="btn btn-primary"
                        onclick="detectImageLocal()">Detect</button>
                </div>
                <div class="mt-4">
                    <h4>Output:</h4>
                    <pre id="outputAreaLocal"></pre>
                </div>
            </div>

            <!-- Back to Home button -->
            <div class="row mt-5">
                <div class="col-md-12 text-center">
                    <a href="index.html" class="btn btn-outline-secondary"
                        style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
                </div>
            </div>
        </div>
    </div>

    <script>

        let detector;

        // Initialize the sentiment analysis model
        async function initializeModel() {
            detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');

        }

        async function detectImage() {
            const textFieldValue = document.getElementById("objectDetectionURLText").value.trim();

            const result = await detector(textFieldValue, { threshold: 0.9 });

            document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
        }

        async function detectImageLocal() {
            const fileInput = document.getElementById("objectDetectionLocalFile");
            const file = fileInput.files[0];

            if (!file) {
                alert('Please select an image file first.');
                return;
            }

            // Create a Blob URL from the file
            const url = URL.createObjectURL(file);

            const result = await detector(url, { threshold: 0.9 });

            document.getElementById("outputAreaLocal").innerText = JSON.stringify(result, null, 2);
        }

        // Initialize the model after the DOM is completely loaded
        window.addEventListener("DOMContentLoaded", initializeModel);
    </script>
</body>

</html>