41 lines
1.6 KiB
HTML
41 lines
1.6 KiB
HTML
{% extends 'base.html' %}
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{%load static%}
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{%block extracss%}
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<link rel="stylesheet" href="{%static 'DetectionApp/css/results.css' %}">
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{%endblock extracss%}
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{%block content%}
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<form method="POST" enctype="multipart/form-data">
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{% csrf_token %}
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<div class="side_menu">
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{% if not user.is_authenticated %}
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<p id="description">Please login to see results</p>
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<a href="{% url 'login'%}?next={{request.path}}" id="submit">Login</a>
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{% else %}
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<p id="description">Results:</p>
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{%for img in img.images.all %}
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<p class="image_number">Image {{forloop.counter}}</p>
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{%for detection in img.get_prediction_data%}
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<div class="results">
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<p class="detection_info">{{detection.name}}: {{detection.confidence}}%</p>
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</div>
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{%endfor%}
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{%endfor%}
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<a href="{% url 'detect' %}" id="submit">Submit again</a>
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{%endif%}
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</div>
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<div class="upload_field">
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<label>
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{%for img in img.images.all %}
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<img src="{{img.image.url}}" alt="upload_image" style="width:640px; height:460px;">
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{%endfor%}
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</label>
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<a href="{%url 'download_predicitions' pk=img.id %}" id="download_json">Export predictions</a>
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</div>
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</form>
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<script>
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var results=document.getElementsByClassName("results")
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for (var i = 0; i < results.length; i++){
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results[i].style.background=`linear-gradient(90deg, #7fff00 ${results[i].textContent.split(":")[1]}, #FFFFFF 0%)`
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};
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</script>
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{%endblock content%} |