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README.md

@@ -1,6 +1,6 @@
 ---
-title: ARMOR Armament Models Recognizer
-emoji: 🐠
+title: A.R.M.O.R classifier - Armament Models Recognizer for Military Security
+emoji: 🛡️
 colorFrom: indigo
 colorTo: blue
 sdk: gradio

app.py

@@ -1,7 +1,52 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+#to use load_learner() in windows: #get updated code from discord group
+# import pathlib
+# temp = pathlib.PosixPath
+# pathlib.PosixPath = pathlib.WindowsPath
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+cap_labels = (
+    '2S19 Msta artillery', 
+    'BM-21 Grad artillery', 
+    'BMP-2 vehicle', 
+    'BTR-80 vehicle', 
+    'Bayraktar TB2 UVAC drone', 
+    'CH-5 Rainbow UVAC drone', 
+    'G6 Rhino artillery', 
+    'Hermes 900 drone', 'Heron TP drone', 
+    'Humvee vehicle', 
+    'LAV-25 vehicle', 
+    'Leopard 2 tank', 
+    'M1 Abrams tank', 
+    'M109 artillery', 
+    'M113 vehicle', 'M270 MLRS artillery', 
+    'MQ-9 Reaper UVAC drone', 
+    'MRAP vehicle', 
+    'RQ-4 Global Hawk UVAC drone', 
+    'T-72 tank', 
+    'Type 99 tank', 'smerch artillery'
+)
+
+model = load_learner('models/ARMOR-classifier-v4.pkl')
+
+def recognize_image(image):
+  pred, idx, probs = model.predict(image) #predict() returns category, it's index, probablity of all catg.
+  # print(pred)
+  return dict(zip(cap_labels, map(float, probs))) # for all categories
+
+#input output gradio formatting set:
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label(num_top_classes=5) 
+#Answeres: bm21, humvee,  t72, leopard 2, mq-9
+examples = [
+    'test_images/unknown_00.jpeg',
+    'test_images/unknown_01.jpg',
+    'test_images/unknown_02.jpg',
+    'test_images/unknown_03.webp',
+    'test_images/unknown_04.jpg'
+    ]
+
+#interface with i/o
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False) # share=True for colab

models/ARMOR-classifier-v4.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a51748334cad662b838dfd0a4b65c01e37aef0eda537de161d823e4a5d6da4ea
+size 242243669

requirements.txt

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+fastai==2.7.12
+fastapi==0.98.0
+fastcore==1.5.29
+fastdownload==0.0.7
+fastprogress==1.0.3
+gradio==3.34.0
+gradio_client==0.2.6