Workable model done

Author: soumyadeepdutta

image/__pycache__/form.cpython-38.pyc

@@ -0,0 +1,5 @@
+from django import forms
+
+class ImageUploadingForm(forms.Form):
+    image = forms.ImageField()
+    

image/__pycache__/urls.cpython-38.pyc

@@ -3,4 +3,5 @@
 
 urlpatterns = [
     path('', views.home, name="home"),
+    path('result', views.imageProcess, name="identify")
 ]

image/__pycache__/views.cpython-38.pyc

@@ -1,9 +1,46 @@
 from django.shortcuts import render
+from .form import ImageUploadingForm
 
+# Model Dependencies
+from tensorflow.keras.applications.resnet50 import ResNet50
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions
+import numpy as np
 
-# Create your views here.
+# binary image
+def handle_upload(file):
+    with open('img.jpg','wb+') as save_image:
+        for chuck in file.chunks():
+            save_image.write(chuck)
 
 # render image upload page
 def home(request):
     # return HttpResponse("Hello World")
-    return render(request, 'image-process/input.html')
+    return render(request, 'image-process/input.html')
+
+def imageProcess(request):
+    form = ImageUploadingForm(request.POST, request.FILES)
+    if form.is_valid():
+        handle_upload(request.FILES['image'])
+
+        # if image valid, create model
+        model = ResNet50(weights='imagenet')
+
+        img_path = 'img.jpg'
+
+        # predicting image
+        img = image.load_img(img_path, target_size=(224, 224))
+        x = image.img_to_array(img)
+        x = np.expand_dims(x, axis=0)
+        x = preprocess_input(x)
+
+        preds = model.predict(x)
+        # print('Predicted:', decode_predictions(preds, top=3)[0])
+
+        res = []
+        for result in decode_predictions(preds, top=3)[0]:
+            res.append((result[1], np.round(result[2]*100, 2)))
+        
+        # print(res)
+
+    return render(request, 'image-process/output.html', {'res':res})

image/form.py

@@ -1,5 +1,41 @@
+absl-py==0.10.0
 asgiref==3.2.10
+astunparse==1.6.3
+cachetools==4.1.1
+certifi==2020.6.20
+chardet==3.0.4
 Django==3.1.2
+gast==0.3.3
+google-auth==1.22.1
+google-auth-oauthlib==0.4.1
+google-pasta==0.2.0
+grpcio==1.32.0
 gunicorn==20.0.4
+h5py==2.10.0
+idna==2.10
+Keras==2.4.3
+Keras-Preprocessing==1.1.2
+Markdown==3.3.1
+numpy==1.19.2
+oauthlib==3.1.0
+opt-einsum==3.3.0
+Pillow==8.0.0
+protobuf==3.13.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
 pytz==2020.1
+PyYAML==5.3.1
+requests==2.24.0
+requests-oauthlib==1.3.0
+rsa==4.6
+scipy==1.5.2
+six==1.15.0
 sqlparse==0.4.1
+tensorboard==2.3.0
+tensorboard-plugin-wit==1.7.0
+tensorflow==2.3.1
+tensorflow-estimator==2.3.0
+termcolor==1.1.0
+urllib3==1.25.10
+Werkzeug==1.0.1
+wrapt==1.12.1

image/models.py

@@ -1,12 +1,13 @@
 {% extends 'base.html' %}
 {% block content %}
-<form style="margin: auto; width: 70rem; max-width: 95%; padding: 5%;" class="col s12 z-depth-4">
+<form action="{% url 'identify' %}" method="POST" enctype="multipart/form-data" style="margin: auto; width: 70rem; max-width: 95%; padding: 5%;" class="col s12 z-depth-4">
     <h3>Upload an image</h3>
+    {% csrf_token %}
     <div class="row">
         <div class="file-field input-field col s6">
             <div class="btn">
                 <span>Select Image</span>
-                <input type="file">
+                <input type="file" id="image" name="image">
             </div>
             <div class="file-path-wrapper col s6">
                 <input class="file-path validate" type="text">