Add all notebook and image from desktop

minsuk-sung · Nov 14, 2019 · b0a1840 · b0a1840
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diff --git a/.gitignore b/.gitignore
@@ -1,3 +1,11 @@
+# Folders
+bin
+data
+models
+
+# Files
+nohup.out
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

diff --git a/Image Classification using MobileNet - 01.Theory.ipynb b/Image Classification using MobileNet - 01.Theory.ipynb
diff --git a/Image Classification using MobileNet - 02. MNIST.ipynb b/Image Classification using MobileNet - 02. MNIST.ipynb
diff --git a/Image Classification using MobileNet - 03. Fashion MNIST.ipynb b/Image Classification using MobileNet - 03. Fashion MNIST.ipynb
diff --git a/Image Classification using MobileNet - 04. CIFAR10.ipynb b/Image Classification using MobileNet - 04. CIFAR10.ipynb
diff --git a/Image Classification using MobileNet - 05. Cat and Dog.ipynb b/Image Classification using MobileNet - 05. Cat and Dog.ipynb
diff --git a/Image Classification using MobileNet - 06. CIFAR100.ipynb b/Image Classification using MobileNet - 06. CIFAR100.ipynb
diff --git a/Image Classification using MobileNet - 07. Intel Scene Image.ipynb b/Image Classification using MobileNet - 07. Intel Scene Image.ipynb
diff --git a/Image Classification using MobileNet - 08. VOC2012.ipynb b/Image Classification using MobileNet - 08. VOC2012.ipynb
diff --git a/Image Classification using MobileNet - 09. Personal Label.ipynb b/Image Classification using MobileNet - 09. Personal Label.ipynb
diff --git a/Image Classification using MobileNet - 10. Covert to Caffe.ipynb b/Image Classification using MobileNet - 10. Covert to Caffe.ipynb
diff --git a/demo.py b/demo.py
@@ -0,0 +1,66 @@
+import os
+import sys
+import warnings
+
+warnings.filterwarnings('ignore')
+
+import cv2
+import pickle
+import numpy as np
+from tensorflow.keras.models import load_model
+
+TEXT_LOC = (30,30)
+FONT_SIZE = 0.8
+
+THESHOLD = 0.3
+
+capture = cv2.VideoCapture(0)
+capture.set(cv2.CAP_PROP_FRAME_WIDTH,640)
+capture.set(cv2.CAP_PROP_FRAME_HEIGHT,480)
+
+model = load_model('./bin/mobilenetv2_class20.h5')
+
+with open('./bin/class20.pickle','rb') as f:
+    class20 = pickle.load(f)
+
+(major_ver,minor_ver,subminor_ver) = cv2.__version__.split('.')
+
+while True:
+    ret, frame = capture.read()
+
+    if int(major_ver) < 3:
+        fps = capture.get(cv2.cv.CV_CAP_PROP_FPS)
+    else:
+        fps = capture.get(cv2.CAP_PROP_FPS)
+
+
+
+    img = cv2.resize(frame,(224,224),fx=0.5,fy=0.5,interpolation=cv2.INTER_AREA)
+    img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
+    img = img / 255
+
+    expanded_img = np.expand_dims(img,axis=0)
+
+    pred = model.predict(expanded_img)
+
+    _cls = class20[np.argmax(pred)]
+    _prob = np.max(pred)
+
+    font_color = (0,0,0)
+    label = 'Prediction : ...'
+
+    if _prob > THESHOLD:
+
+        font_color = (0,0,255)
+        label = 'Prediction : {} ({:.2f}%)'.format(_cls.upper(),_prob * 100) 
+
+    cv2.putText(frame,label,TEXT_LOC,cv2.FONT_HERSHEY_SIMPLEX,FONT_SIZE,font_color,2)
+    cv2.putText(frame,'{} FRAMES'.format(fps),(450,30),cv2.FONT_HERSHEY_SIMPLEX,FONT_SIZE,(0,0,0),2)
+
+    cv2.imshow('test',frame)
+
+    if cv2.waitKey(1) == ord('q'):
+        break
+
+capture.release()
+cv2.destroyAllWindows()
diff --git a/img/model/cat_dog_cnn_model.png b/img/model/cat_dog_cnn_model.png
diff --git a/img/model/cat_dog_vgg16.png b/img/model/cat_dog_vgg16.png
diff --git a/img/model/cifar100_resnet_model.png b/img/model/cifar100_resnet_model.png
diff --git a/img/model/cifar10_deeper_cnn.png b/img/model/cifar10_deeper_cnn.png
diff --git a/img/model/cifar10_resnet_model.png b/img/model/cifar10_resnet_model.png
diff --git a/img/model/cifar10_vgg16_model.png b/img/model/cifar10_vgg16_model.png
diff --git a/img/model/fashion_mnist_cnn_model.png b/img/model/fashion_mnist_cnn_model.png
diff --git a/img/model/mnist_cnn_model.png b/img/model/mnist_cnn_model.png
diff --git a/img/result/cifar10_wrong_result.png b/img/result/cifar10_wrong_result.png
diff --git a/img/result/fashion_mnist_wrong_result.png b/img/result/fashion_mnist_wrong_result.png
diff --git a/img/result/intel_classification_wrong_result.png b/img/result/intel_classification_wrong_result.png
diff --git a/img/result/mnist_wrong_result.png b/img/result/mnist_wrong_result.png
diff --git a/img/test/aeroplane.jpg b/img/test/aeroplane.jpg
diff --git a/img/test/boat.jpg b/img/test/boat.jpg
diff --git a/img/test/cat.jpg b/img/test/cat.jpg
diff --git a/img/test/dog.jpg b/img/test/dog.jpg
diff --git a/img/test/person.jpg b/img/test/person.jpg
diff --git a/img/test/person_bike.jpg b/img/test/person_bike.jpg
diff --git a/img/test/sofa.jpg b/img/test/sofa.jpg
diff --git a/img/theory/Bottleneck Residual Block.png b/img/theory/Bottleneck Residual Block.png
diff --git a/img/theory/STEP1.png b/img/theory/STEP1.png
diff --git a/img/theory/STEP2.png b/img/theory/STEP2.png
diff --git a/img/theory/depthwise_conv.png b/img/theory/depthwise_conv.png
diff --git a/img/theory/dl-trend.png b/img/theory/dl-trend.png
diff --git a/img/theory/efficiency.png b/img/theory/efficiency.png
diff --git a/img/theory/expansion.jpeg b/img/theory/expansion.jpeg
diff --git a/img/theory/intel_logo.png b/img/theory/intel_logo.png
diff --git a/img/theory/mobilenetv2.png b/img/theory/mobilenetv2.png
diff --git a/img/theory/mobilnetpipeline.png b/img/theory/mobilnetpipeline.png
diff --git a/img/theory/residual_inverted.png b/img/theory/residual_inverted.png
diff --git a/img/theory/rgb_image.png b/img/theory/rgb_image.png
diff --git a/img/theory/standard_conv.png b/img/theory/standard_conv.png
diff --git a/img/theory/structure of inverted residual block.png b/img/theory/structure of inverted residual block.png
diff --git a/model.png b/model.png
diff --git a/requirements.txt b/requirements.txt
@@ -0,0 +1,93 @@
+absl-py==0.8.0
+astor==0.8.0
+attrs==19.2.0
+autopep8==1.4.4
+backcall==0.1.0
+bleach==3.1.0
+certifi==2019.9.11
+cycler==0.10.0
+decorator==4.4.0
+defusedxml==0.6.0
+entrypoints==0.3
+freeze==1.0.10
+gast==0.3.2
+google-images-download==2.8.0
+google-pasta==0.1.7
+graphviz==0.13
+grpcio==1.16.1
+h5py==2.10.0
+imutils==0.5.3
+ipykernel==5.1.2
+ipython==7.8.0
+ipython-genutils==0.2.0
+jedi==0.15.1
+Jinja2==2.10.3
+joblib==0.14.0
+jsonschema==3.0.2
+jupyter-client==5.3.4
+jupyter-contrib-core==0.3.3
+jupyter-contrib-nbextensions==0.5.1
+jupyter-core==4.6.0
+jupyter-highlight-selected-word==0.2.0
+jupyter-latex-envs==1.4.4
+jupyter-nbextensions-configurator==0.4.1
+Keras==2.2.4
+Keras-Applications==1.0.8
+Keras-Preprocessing==1.1.0
+kiwisolver==1.1.0
+lxml==4.4.1
+Markdown==3.1.1
+MarkupSafe==1.1.1
+matplotlib==3.1.1
+mistune==0.8.4
+mkl-fft==1.0.14
+mkl-random==1.1.0
+mkl-service==2.3.0
+nb-conda==2.2.1
+nb-conda-kernels==2.2.2
+nbconvert==5.6.0
+nbformat==4.4.0
+notebook==6.0.1
+numpy==1.17.2
+olefile==0.46
+pandas==0.25.1
+pandocfilters==1.4.2
+parso==0.5.1
+pexpect==4.7.0
+pickleshare==0.7.5
+Pillow==6.2.0
+prometheus-client==0.7.1
+prompt-toolkit==2.0.10
+protobuf==3.10.0
+ptyprocess==0.6.0
+pycodestyle==2.5.0
+pydot==1.4.1
+Pygments==2.4.2
+pyparsing==2.4.2
+pyrsistent==0.15.4
+python-dateutil==2.8.0
+pytube==9.5.2
+pytz==2019.3
+PyYAML==5.1.2
+pyzmq==18.1.0
+scikit-learn==0.21.3
+scipy==1.3.1
+seaborn==0.9.0
+selenium==3.141.0
+Send2Trash==1.5.0
+six==1.12.0
+tensorboard==1.14.0
+tensorflow==1.14.0
+tensorflow-estimator==1.14.0
+termcolor==1.1.0
+terminado==0.8.2
+testpath==0.4.2
+tornado==6.0.3
+tqdm==4.36.1
+traitlets==4.3.3
+urllib3==1.25.6
+wcwidth==0.1.7
+webencodings==0.5.1
+Werkzeug==0.16.0
+wrapt==1.11.2
+youtube-dl==2019.10.16