Face Mask Detection
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.gitignore
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.gitignore
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# ---> Python
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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MANIFEST
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# PyInstaller
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*.cover
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# Translations
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# Django stuff:
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# Jupyter Notebook
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# IPython
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# pyenv
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# .python-version
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# pipenv
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# Spyder project settings
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# mkdocs documentation
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# mypy
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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cython_debug/
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.idea/.gitignore
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.idea/.gitignore
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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.idea/face-mask-detection.iml
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.idea/face-mask-detection.iml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
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.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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data_preprocessing.ipynb
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data_preprocessing.ipynb
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{
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"cells": [
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"execution_count": 2,
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"id": "60b9db20",
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"metadata": {},
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"outputs": [],
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"source": [
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"import glob\n",
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"import pandas as pd\n",
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"import cv2\n",
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"import os\n",
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"from xml.etree import ElementTree"
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]
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"id": "02938bb8",
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"metadata": {},
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"outputs": [],
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"source": [
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"ANNOTATIONS_DIR = './data/annotations'\n",
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"IMAGES_DIR = './data/images'\n",
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"CROPPED_DIR = './data/cropped_images'"
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]
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"id": "b2cd1af7",
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"metadata": {},
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"outputs": [],
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"source": [
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"metadata = {'xmin': [], 'ymin': [], 'xmax': [], 'ymax': [], 'label': [], 'file': []}\n",
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"\n",
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"for file in glob.glob(ANNOTATIONS_DIR + '/*.xml'):\n",
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" metadata['ymin'].append(ymin) \n",
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" ymax = int(round(float(dimensions.text)))\n",
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" metadata['ymax'].append(ymax)"
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||||
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||||
"\n",
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||||
" image = cv2.imread(path)\n",
|
||||
" \n",
|
||||
" cropped_name = str(i) + '.png'\n",
|
||||
" \n",
|
||||
" xmin = metadata_df['xmin'].iloc[i]\n",
|
||||
" ymin = metadata_df['ymin'].iloc[i]\n",
|
||||
" xmax = metadata_df['xmax'].iloc[i]\n",
|
||||
" ymax = metadata_df['ymax'].iloc[i]\n",
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||||
"\n",
|
||||
" cropped_image = image[ymin:ymax, xmin:xmax]\n",
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||||
" \n",
|
||||
" cropped_path = CROPPED_DIR + '/' + cropped_name\n",
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||||
" \n",
|
||||
" cv2.imwrite(cropped_path, cropped_image)"
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
101
detect_mask.py
Normal file
101
detect_mask.py
Normal file
@ -0,0 +1,101 @@
|
||||
from tensorflow.keras.applications.mobilenet_v2 import preprocess_input
|
||||
from tensorflow.keras.preprocessing.image import img_to_array
|
||||
from tensorflow.keras.models import load_model
|
||||
import numpy as np
|
||||
import cv2
|
||||
|
||||
labels = {0: 'mask_incorrectly_worn', 1: 'with_mask', 2: 'without_mask'}
|
||||
|
||||
|
||||
def most_common(lst):
|
||||
return max(set(lst), key=lst.count)
|
||||
|
||||
|
||||
def detect_mask(img, face_detector, face_mask_detector):
|
||||
(h, w) = img.shape[:2]
|
||||
blob = cv2.dnn.blobFromImage(img, 1.0, (128, 128), (104.0, 177.0, 123.0))
|
||||
|
||||
face_detector.setInput(blob)
|
||||
detections = face_detector.forward()
|
||||
|
||||
faces = []
|
||||
locs = []
|
||||
preds = []
|
||||
|
||||
for i in range(0, detections.shape[2]):
|
||||
confidence = detections[0, 0, i, 2]
|
||||
|
||||
if confidence > 0.5:
|
||||
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
|
||||
(startX, startY, endX, endY) = box.astype("int")
|
||||
|
||||
(startX, startY) = (max(0, startX), max(0, startY))
|
||||
(endX, endY) = (min(w - 1, endX), min(h - 1, endY))
|
||||
|
||||
face = img[startY:endY, startX:endX]
|
||||
face = cv2.cvtColor(face, cv2.COLOR_BGR2RGB)
|
||||
face = cv2.resize(face, (128, 128))
|
||||
face = img_to_array(face)
|
||||
face = preprocess_input(face)
|
||||
|
||||
faces.append(face)
|
||||
locs.append((startX, startY, endX, endY))
|
||||
|
||||
if len(faces) > 0:
|
||||
faces = np.array(faces, dtype="float32")
|
||||
preds = face_mask_detector.predict(faces, batch_size=32)
|
||||
|
||||
return locs, preds
|
||||
|
||||
|
||||
prototxtPath = r"face_detector\deploy.prototxt"
|
||||
weightsPath = r"face_detector\res10_300x300_ssd_iter_140000.caffemodel"
|
||||
faceNet = cv2.dnn.readNet(prototxtPath, weightsPath)
|
||||
|
||||
mask_detection_model = load_model("face_mask_detection2.h5")
|
||||
|
||||
states = []
|
||||
current_label = ''
|
||||
current_color = (0, 0, 0)
|
||||
|
||||
cam = cv2.VideoCapture(0)
|
||||
|
||||
while True:
|
||||
ret, frame = cam.read()
|
||||
if not ret:
|
||||
print("failed to grab frame")
|
||||
break
|
||||
|
||||
(locs, preds) = detect_mask(frame, faceNet, mask_detection_model)
|
||||
|
||||
for (box, pred) in zip(locs, preds):
|
||||
(startX, startY, endX, endY) = box
|
||||
|
||||
label_index = np.argmax(pred)
|
||||
|
||||
states.append(label_index)
|
||||
|
||||
if len(states) == 10:
|
||||
index = most_common(states)
|
||||
current_label = labels[index]
|
||||
if index == 2:
|
||||
current_color = (0, 0, 255)
|
||||
elif index == 1:
|
||||
current_color = (0, 255, 0)
|
||||
else:
|
||||
current_color = (0, 127, 255)
|
||||
states.clear()
|
||||
|
||||
if current_label != '':
|
||||
cv2.putText(frame, current_label, (startX, startY - 10),
|
||||
cv2.FONT_HERSHEY_SIMPLEX, 0.45, current_color, 2)
|
||||
cv2.rectangle(frame, (startX, startY), (endX, endY), current_color, 2)
|
||||
|
||||
cv2.imshow("Face Mask Detection", frame)
|
||||
key = cv2.waitKey(1) & 0xFF
|
||||
|
||||
if key == ord("q"):
|
||||
break
|
||||
|
||||
cv2.destroyAllWindows()
|
||||
cam.release()
|
||||
1789
face_detector/deploy.prototxt
Normal file
1789
face_detector/deploy.prototxt
Normal file
File diff suppressed because it is too large
Load Diff
BIN
face_detector/res10_300x300_ssd_iter_140000.caffemodel
Normal file
BIN
face_detector/res10_300x300_ssd_iter_140000.caffemodel
Normal file
Binary file not shown.
BIN
face_mask_detection.h5
Normal file
BIN
face_mask_detection.h5
Normal file
Binary file not shown.
BIN
face_mask_detection2.h5
Normal file
BIN
face_mask_detection2.h5
Normal file
Binary file not shown.
461
test1/test1.txt
Normal file
461
test1/test1.txt
Normal file
@ -0,0 +1,461 @@
|
||||
model: face_mask_detection.h5
|
||||
|
||||
Epoch 1/20
|
||||
102/102 [==============================] - 79s 752ms/step - loss: 0.9477 - accuracy: 0.7547 - val_loss: 0.4901 - val_accuracy: 0.8552
|
||||
Epoch 2/20
|
||||
102/102 [==============================] - 76s 751ms/step - loss: 0.4837 - accuracy: 0.8164 - val_loss: 0.3934 - val_accuracy: 0.8503
|
||||
Epoch 3/20
|
||||
102/102 [==============================] - 76s 750ms/step - loss: 0.4393 - accuracy: 0.8376 - val_loss: 0.3695 - val_accuracy: 0.8785
|
||||
Epoch 4/20
|
||||
102/102 [==============================] - 77s 756ms/step - loss: 0.3877 - accuracy: 0.8542 - val_loss: 0.3527 - val_accuracy: 0.8429
|
||||
Epoch 5/20
|
||||
102/102 [==============================] - 76s 746ms/step - loss: 0.3312 - accuracy: 0.8726 - val_loss: 0.2975 - val_accuracy: 0.9006
|
||||
Epoch 6/20
|
||||
102/102 [==============================] - 76s 745ms/step - loss: 0.3371 - accuracy: 0.8726 - val_loss: 0.2907 - val_accuracy: 0.8994
|
||||
Epoch 7/20
|
||||
102/102 [==============================] - 76s 745ms/step - loss: 0.2786 - accuracy: 0.9011 - val_loss: 0.2727 - val_accuracy: 0.9141
|
||||
Epoch 8/20
|
||||
102/102 [==============================] - 76s 746ms/step - loss: 0.2603 - accuracy: 0.9036 - val_loss: 0.2752 - val_accuracy: 0.9031
|
||||
Epoch 9/20
|
||||
102/102 [==============================] - 76s 744ms/step - loss: 0.2534 - accuracy: 0.9036 - val_loss: 0.2800 - val_accuracy: 0.9006
|
||||
Epoch 10/20
|
||||
102/102 [==============================] - 76s 750ms/step - loss: 0.2310 - accuracy: 0.9100 - val_loss: 0.3186 - val_accuracy: 0.8834
|
||||
Epoch 11/20
|
||||
102/102 [==============================] - 76s 746ms/step - loss: 0.2313 - accuracy: 0.9137 - val_loss: 0.2957 - val_accuracy: 0.9117
|
||||
Epoch 12/20
|
||||
102/102 [==============================] - 76s 745ms/step - loss: 0.2153 - accuracy: 0.9165 - val_loss: 0.2776 - val_accuracy: 0.9080
|
||||
Epoch 13/20
|
||||
102/102 [==============================] - 76s 749ms/step - loss: 0.2085 - accuracy: 0.9226 - val_loss: 0.2649 - val_accuracy: 0.9055
|
||||
Epoch 14/20
|
||||
102/102 [==============================] - 76s 748ms/step - loss: 0.1967 - accuracy: 0.9248 - val_loss: 0.2683 - val_accuracy: 0.9117
|
||||
Epoch 15/20
|
||||
102/102 [==============================] - 80s 791ms/step - loss: 0.2008 - accuracy: 0.9196 - val_loss: 0.2694 - val_accuracy: 0.9178
|
||||
Epoch 16/20
|
||||
102/102 [==============================] - 76s 749ms/step - loss: 0.1817 - accuracy: 0.9328 - val_loss: 0.2891 - val_accuracy: 0.9117
|
||||
Epoch 17/20
|
||||
102/102 [==============================] - 77s 753ms/step - loss: 0.1827 - accuracy: 0.9275 - val_loss: 0.2619 - val_accuracy: 0.9276
|
||||
Epoch 18/20
|
||||
102/102 [==============================] - 78s 768ms/step - loss: 0.1553 - accuracy: 0.9392 - val_loss: 0.2798 - val_accuracy: 0.9215
|
||||
Epoch 19/20
|
||||
102/102 [==============================] - 83s 814ms/step - loss: 0.1410 - accuracy: 0.9438 - val_loss: 0.2985 - val_accuracy: 0.9178
|
||||
Epoch 20/20
|
||||
102/102 [==============================] - 87s 851ms/step - loss: 0.1604 - accuracy: 0.9364 - val_loss: 0.3088 - val_accuracy: 0.9202
|
||||
|
||||
|
||||
|
||||
|
||||
Model: "model_6"
|
||||
__________________________________________________________________________________________________
|
||||
Layer (type) Output Shape Param # Connected to
|
||||
==================================================================================================
|
||||
input_16 (InputLayer) [(None, 224, 224, 3 0 []
|
||||
)]
|
||||
|
||||
Conv1 (Conv2D) (None, 112, 112, 32 864 ['input_16[0][0]']
|
||||
)
|
||||
|
||||
bn_Conv1 (BatchNormalization) (None, 112, 112, 32 128 ['Conv1[0][0]']
|
||||
)
|
||||
|
||||
Conv1_relu (ReLU) (None, 112, 112, 32 0 ['bn_Conv1[0][0]']
|
||||
)
|
||||
|
||||
expanded_conv_depthwise (Depth (None, 112, 112, 32 288 ['Conv1_relu[0][0]']
|
||||
wiseConv2D) )
|
||||
|
||||
expanded_conv_depthwise_BN (Ba (None, 112, 112, 32 128 ['expanded_conv_depthwise[0][0]']
|
||||
tchNormalization) )
|
||||
|
||||
expanded_conv_depthwise_relu ( (None, 112, 112, 32 0 ['expanded_conv_depthwise_BN[0][0
|
||||
ReLU) ) ]']
|
||||
|
||||
expanded_conv_project (Conv2D) (None, 112, 112, 16 512 ['expanded_conv_depthwise_relu[0]
|
||||
) [0]']
|
||||
|
||||
expanded_conv_project_BN (Batc (None, 112, 112, 16 64 ['expanded_conv_project[0][0]']
|
||||
hNormalization) )
|
||||
|
||||
block_1_expand (Conv2D) (None, 112, 112, 96 1536 ['expanded_conv_project_BN[0][0]'
|
||||
) ]
|
||||
|
||||
block_1_expand_BN (BatchNormal (None, 112, 112, 96 384 ['block_1_expand[0][0]']
|
||||
ization) )
|
||||
|
||||
block_1_expand_relu (ReLU) (None, 112, 112, 96 0 ['block_1_expand_BN[0][0]']
|
||||
)
|
||||
|
||||
block_1_pad (ZeroPadding2D) (None, 113, 113, 96 0 ['block_1_expand_relu[0][0]']
|
||||
)
|
||||
|
||||
block_1_depthwise (DepthwiseCo (None, 56, 56, 96) 864 ['block_1_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_1_depthwise_BN (BatchNor (None, 56, 56, 96) 384 ['block_1_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_1_depthwise_relu (ReLU) (None, 56, 56, 96) 0 ['block_1_depthwise_BN[0][0]']
|
||||
|
||||
block_1_project (Conv2D) (None, 56, 56, 24) 2304 ['block_1_depthwise_relu[0][0]']
|
||||
|
||||
block_1_project_BN (BatchNorma (None, 56, 56, 24) 96 ['block_1_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_2_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_1_project_BN[0][0]']
|
||||
|
||||
block_2_expand_BN (BatchNormal (None, 56, 56, 144) 576 ['block_2_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_2_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_2_expand_BN[0][0]']
|
||||
|
||||
block_2_depthwise (DepthwiseCo (None, 56, 56, 144) 1296 ['block_2_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_2_depthwise_BN (BatchNor (None, 56, 56, 144) 576 ['block_2_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_2_depthwise_relu (ReLU) (None, 56, 56, 144) 0 ['block_2_depthwise_BN[0][0]']
|
||||
|
||||
block_2_project (Conv2D) (None, 56, 56, 24) 3456 ['block_2_depthwise_relu[0][0]']
|
||||
|
||||
block_2_project_BN (BatchNorma (None, 56, 56, 24) 96 ['block_2_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_2_add (Add) (None, 56, 56, 24) 0 ['block_1_project_BN[0][0]',
|
||||
'block_2_project_BN[0][0]']
|
||||
|
||||
block_3_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_2_add[0][0]']
|
||||
|
||||
block_3_expand_BN (BatchNormal (None, 56, 56, 144) 576 ['block_3_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_3_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_3_expand_BN[0][0]']
|
||||
|
||||
block_3_pad (ZeroPadding2D) (None, 57, 57, 144) 0 ['block_3_expand_relu[0][0]']
|
||||
|
||||
block_3_depthwise (DepthwiseCo (None, 28, 28, 144) 1296 ['block_3_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_3_depthwise_BN (BatchNor (None, 28, 28, 144) 576 ['block_3_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_3_depthwise_relu (ReLU) (None, 28, 28, 144) 0 ['block_3_depthwise_BN[0][0]']
|
||||
|
||||
block_3_project (Conv2D) (None, 28, 28, 32) 4608 ['block_3_depthwise_relu[0][0]']
|
||||
|
||||
block_3_project_BN (BatchNorma (None, 28, 28, 32) 128 ['block_3_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_4_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_3_project_BN[0][0]']
|
||||
|
||||
block_4_expand_BN (BatchNormal (None, 28, 28, 192) 768 ['block_4_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_4_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_4_expand_BN[0][0]']
|
||||
|
||||
block_4_depthwise (DepthwiseCo (None, 28, 28, 192) 1728 ['block_4_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_4_depthwise_BN (BatchNor (None, 28, 28, 192) 768 ['block_4_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_4_depthwise_relu (ReLU) (None, 28, 28, 192) 0 ['block_4_depthwise_BN[0][0]']
|
||||
|
||||
block_4_project (Conv2D) (None, 28, 28, 32) 6144 ['block_4_depthwise_relu[0][0]']
|
||||
|
||||
block_4_project_BN (BatchNorma (None, 28, 28, 32) 128 ['block_4_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_4_add (Add) (None, 28, 28, 32) 0 ['block_3_project_BN[0][0]',
|
||||
'block_4_project_BN[0][0]']
|
||||
|
||||
block_5_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_4_add[0][0]']
|
||||
|
||||
block_5_expand_BN (BatchNormal (None, 28, 28, 192) 768 ['block_5_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_5_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_5_expand_BN[0][0]']
|
||||
|
||||
block_5_depthwise (DepthwiseCo (None, 28, 28, 192) 1728 ['block_5_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_5_depthwise_BN (BatchNor (None, 28, 28, 192) 768 ['block_5_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_5_depthwise_relu (ReLU) (None, 28, 28, 192) 0 ['block_5_depthwise_BN[0][0]']
|
||||
|
||||
block_5_project (Conv2D) (None, 28, 28, 32) 6144 ['block_5_depthwise_relu[0][0]']
|
||||
|
||||
block_5_project_BN (BatchNorma (None, 28, 28, 32) 128 ['block_5_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_5_add (Add) (None, 28, 28, 32) 0 ['block_4_add[0][0]',
|
||||
'block_5_project_BN[0][0]']
|
||||
|
||||
block_6_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_5_add[0][0]']
|
||||
|
||||
block_6_expand_BN (BatchNormal (None, 28, 28, 192) 768 ['block_6_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_6_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_6_expand_BN[0][0]']
|
||||
|
||||
block_6_pad (ZeroPadding2D) (None, 29, 29, 192) 0 ['block_6_expand_relu[0][0]']
|
||||
|
||||
block_6_depthwise (DepthwiseCo (None, 14, 14, 192) 1728 ['block_6_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_6_depthwise_BN (BatchNor (None, 14, 14, 192) 768 ['block_6_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_6_depthwise_relu (ReLU) (None, 14, 14, 192) 0 ['block_6_depthwise_BN[0][0]']
|
||||
|
||||
block_6_project (Conv2D) (None, 14, 14, 64) 12288 ['block_6_depthwise_relu[0][0]']
|
||||
|
||||
block_6_project_BN (BatchNorma (None, 14, 14, 64) 256 ['block_6_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_7_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_6_project_BN[0][0]']
|
||||
|
||||
block_7_expand_BN (BatchNormal (None, 14, 14, 384) 1536 ['block_7_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_7_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_7_expand_BN[0][0]']
|
||||
|
||||
block_7_depthwise (DepthwiseCo (None, 14, 14, 384) 3456 ['block_7_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_7_depthwise_BN (BatchNor (None, 14, 14, 384) 1536 ['block_7_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_7_depthwise_relu (ReLU) (None, 14, 14, 384) 0 ['block_7_depthwise_BN[0][0]']
|
||||
|
||||
block_7_project (Conv2D) (None, 14, 14, 64) 24576 ['block_7_depthwise_relu[0][0]']
|
||||
|
||||
block_7_project_BN (BatchNorma (None, 14, 14, 64) 256 ['block_7_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_7_add (Add) (None, 14, 14, 64) 0 ['block_6_project_BN[0][0]',
|
||||
'block_7_project_BN[0][0]']
|
||||
|
||||
block_8_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_7_add[0][0]']
|
||||
|
||||
block_8_expand_BN (BatchNormal (None, 14, 14, 384) 1536 ['block_8_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_8_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_8_expand_BN[0][0]']
|
||||
|
||||
block_8_depthwise (DepthwiseCo (None, 14, 14, 384) 3456 ['block_8_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_8_depthwise_BN (BatchNor (None, 14, 14, 384) 1536 ['block_8_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_8_depthwise_relu (ReLU) (None, 14, 14, 384) 0 ['block_8_depthwise_BN[0][0]']
|
||||
|
||||
block_8_project (Conv2D) (None, 14, 14, 64) 24576 ['block_8_depthwise_relu[0][0]']
|
||||
|
||||
block_8_project_BN (BatchNorma (None, 14, 14, 64) 256 ['block_8_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_8_add (Add) (None, 14, 14, 64) 0 ['block_7_add[0][0]',
|
||||
'block_8_project_BN[0][0]']
|
||||
|
||||
block_9_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_8_add[0][0]']
|
||||
|
||||
block_9_expand_BN (BatchNormal (None, 14, 14, 384) 1536 ['block_9_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_9_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_9_expand_BN[0][0]']
|
||||
|
||||
block_9_depthwise (DepthwiseCo (None, 14, 14, 384) 3456 ['block_9_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_9_depthwise_BN (BatchNor (None, 14, 14, 384) 1536 ['block_9_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_9_depthwise_relu (ReLU) (None, 14, 14, 384) 0 ['block_9_depthwise_BN[0][0]']
|
||||
|
||||
block_9_project (Conv2D) (None, 14, 14, 64) 24576 ['block_9_depthwise_relu[0][0]']
|
||||
|
||||
block_9_project_BN (BatchNorma (None, 14, 14, 64) 256 ['block_9_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_9_add (Add) (None, 14, 14, 64) 0 ['block_8_add[0][0]',
|
||||
'block_9_project_BN[0][0]']
|
||||
|
||||
block_10_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_9_add[0][0]']
|
||||
|
||||
block_10_expand_BN (BatchNorma (None, 14, 14, 384) 1536 ['block_10_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_10_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_10_expand_BN[0][0]']
|
||||
|
||||
block_10_depthwise (DepthwiseC (None, 14, 14, 384) 3456 ['block_10_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_10_depthwise_BN (BatchNo (None, 14, 14, 384) 1536 ['block_10_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_10_depthwise_relu (ReLU) (None, 14, 14, 384) 0 ['block_10_depthwise_BN[0][0]']
|
||||
|
||||
block_10_project (Conv2D) (None, 14, 14, 96) 36864 ['block_10_depthwise_relu[0][0]']
|
||||
|
||||
block_10_project_BN (BatchNorm (None, 14, 14, 96) 384 ['block_10_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_11_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_10_project_BN[0][0]']
|
||||
|
||||
block_11_expand_BN (BatchNorma (None, 14, 14, 576) 2304 ['block_11_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_11_expand_relu (ReLU) (None, 14, 14, 576) 0 ['block_11_expand_BN[0][0]']
|
||||
|
||||
block_11_depthwise (DepthwiseC (None, 14, 14, 576) 5184 ['block_11_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_11_depthwise_BN (BatchNo (None, 14, 14, 576) 2304 ['block_11_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_11_depthwise_relu (ReLU) (None, 14, 14, 576) 0 ['block_11_depthwise_BN[0][0]']
|
||||
|
||||
block_11_project (Conv2D) (None, 14, 14, 96) 55296 ['block_11_depthwise_relu[0][0]']
|
||||
|
||||
block_11_project_BN (BatchNorm (None, 14, 14, 96) 384 ['block_11_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_11_add (Add) (None, 14, 14, 96) 0 ['block_10_project_BN[0][0]',
|
||||
'block_11_project_BN[0][0]']
|
||||
|
||||
block_12_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_11_add[0][0]']
|
||||
|
||||
block_12_expand_BN (BatchNorma (None, 14, 14, 576) 2304 ['block_12_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_12_expand_relu (ReLU) (None, 14, 14, 576) 0 ['block_12_expand_BN[0][0]']
|
||||
|
||||
block_12_depthwise (DepthwiseC (None, 14, 14, 576) 5184 ['block_12_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_12_depthwise_BN (BatchNo (None, 14, 14, 576) 2304 ['block_12_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_12_depthwise_relu (ReLU) (None, 14, 14, 576) 0 ['block_12_depthwise_BN[0][0]']
|
||||
|
||||
block_12_project (Conv2D) (None, 14, 14, 96) 55296 ['block_12_depthwise_relu[0][0]']
|
||||
|
||||
block_12_project_BN (BatchNorm (None, 14, 14, 96) 384 ['block_12_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_12_add (Add) (None, 14, 14, 96) 0 ['block_11_add[0][0]',
|
||||
'block_12_project_BN[0][0]']
|
||||
|
||||
block_13_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_12_add[0][0]']
|
||||
|
||||
block_13_expand_BN (BatchNorma (None, 14, 14, 576) 2304 ['block_13_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_13_expand_relu (ReLU) (None, 14, 14, 576) 0 ['block_13_expand_BN[0][0]']
|
||||
|
||||
block_13_pad (ZeroPadding2D) (None, 15, 15, 576) 0 ['block_13_expand_relu[0][0]']
|
||||
|
||||
block_13_depthwise (DepthwiseC (None, 7, 7, 576) 5184 ['block_13_pad[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_13_depthwise_BN (BatchNo (None, 7, 7, 576) 2304 ['block_13_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_13_depthwise_relu (ReLU) (None, 7, 7, 576) 0 ['block_13_depthwise_BN[0][0]']
|
||||
|
||||
block_13_project (Conv2D) (None, 7, 7, 160) 92160 ['block_13_depthwise_relu[0][0]']
|
||||
|
||||
block_13_project_BN (BatchNorm (None, 7, 7, 160) 640 ['block_13_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_14_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_13_project_BN[0][0]']
|
||||
|
||||
block_14_expand_BN (BatchNorma (None, 7, 7, 960) 3840 ['block_14_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_14_expand_relu (ReLU) (None, 7, 7, 960) 0 ['block_14_expand_BN[0][0]']
|
||||
|
||||
block_14_depthwise (DepthwiseC (None, 7, 7, 960) 8640 ['block_14_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_14_depthwise_BN (BatchNo (None, 7, 7, 960) 3840 ['block_14_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_14_depthwise_relu (ReLU) (None, 7, 7, 960) 0 ['block_14_depthwise_BN[0][0]']
|
||||
|
||||
block_14_project (Conv2D) (None, 7, 7, 160) 153600 ['block_14_depthwise_relu[0][0]']
|
||||
|
||||
block_14_project_BN (BatchNorm (None, 7, 7, 160) 640 ['block_14_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_14_add (Add) (None, 7, 7, 160) 0 ['block_13_project_BN[0][0]',
|
||||
'block_14_project_BN[0][0]']
|
||||
|
||||
block_15_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_14_add[0][0]']
|
||||
|
||||
block_15_expand_BN (BatchNorma (None, 7, 7, 960) 3840 ['block_15_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_15_expand_relu (ReLU) (None, 7, 7, 960) 0 ['block_15_expand_BN[0][0]']
|
||||
|
||||
block_15_depthwise (DepthwiseC (None, 7, 7, 960) 8640 ['block_15_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_15_depthwise_BN (BatchNo (None, 7, 7, 960) 3840 ['block_15_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_15_depthwise_relu (ReLU) (None, 7, 7, 960) 0 ['block_15_depthwise_BN[0][0]']
|
||||
|
||||
block_15_project (Conv2D) (None, 7, 7, 160) 153600 ['block_15_depthwise_relu[0][0]']
|
||||
|
||||
block_15_project_BN (BatchNorm (None, 7, 7, 160) 640 ['block_15_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_15_add (Add) (None, 7, 7, 160) 0 ['block_14_add[0][0]',
|
||||
'block_15_project_BN[0][0]']
|
||||
|
||||
block_16_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_15_add[0][0]']
|
||||
|
||||
block_16_expand_BN (BatchNorma (None, 7, 7, 960) 3840 ['block_16_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_16_expand_relu (ReLU) (None, 7, 7, 960) 0 ['block_16_expand_BN[0][0]']
|
||||
|
||||
block_16_depthwise (DepthwiseC (None, 7, 7, 960) 8640 ['block_16_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_16_depthwise_BN (BatchNo (None, 7, 7, 960) 3840 ['block_16_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_16_depthwise_relu (ReLU) (None, 7, 7, 960) 0 ['block_16_depthwise_BN[0][0]']
|
||||
|
||||
block_16_project (Conv2D) (None, 7, 7, 320) 307200 ['block_16_depthwise_relu[0][0]']
|
||||
|
||||
block_16_project_BN (BatchNorm (None, 7, 7, 320) 1280 ['block_16_project[0][0]']
|
||||
alization)
|
||||
|
||||
Conv_1 (Conv2D) (None, 7, 7, 1280) 409600 ['block_16_project_BN[0][0]']
|
||||
|
||||
Conv_1_bn (BatchNormalization) (None, 7, 7, 1280) 5120 ['Conv_1[0][0]']
|
||||
|
||||
out_relu (ReLU) (None, 7, 7, 1280) 0 ['Conv_1_bn[0][0]']
|
||||
|
||||
average_pooling2d_17 (AverageP (None, 3, 3, 1280) 0 ['out_relu[0][0]']
|
||||
ooling2D)
|
||||
|
||||
flatten_7 (Flatten) (None, 11520) 0 ['average_pooling2d_17[0][0]']
|
||||
|
||||
dense_21 (Dense) (None, 256) 2949376 ['flatten_7[0][0]']
|
||||
|
||||
dropout_7 (Dropout) (None, 256) 0 ['dense_21[0][0]']
|
||||
|
||||
dense_22 (Dense) (None, 64) 16448 ['dropout_7[0][0]']
|
||||
|
||||
dense_23 (Dense) (None, 3) 195 ['dense_22[0][0]']
|
||||
|
||||
==================================================================================================
|
||||
Total params: 5,224,003
|
||||
Trainable params: 2,966,019
|
||||
Non-trainable params: 2,257,984
|
||||
448
test1/test2.txt
Normal file
448
test1/test2.txt
Normal file
@ -0,0 +1,448 @@
|
||||
model: face_mask_detection2.hp
|
||||
|
||||
Epoch 1/15
|
||||
102/102 [==============================] - 31s 277ms/step - loss: 0.5791 - accuracy: 0.8001 - val_loss: 0.4123 - val_accuracy: 0.8466
|
||||
Epoch 2/15
|
||||
102/102 [==============================] - 27s 270ms/step - loss: 0.4334 - accuracy: 0.8342 - val_loss: 0.3737 - val_accuracy: 0.8466
|
||||
Epoch 3/15
|
||||
102/102 [==============================] - 28s 271ms/step - loss: 0.3859 - accuracy: 0.8505 - val_loss: 0.3362 - val_accuracy: 0.8847
|
||||
Epoch 4/15
|
||||
102/102 [==============================] - 28s 270ms/step - loss: 0.3585 - accuracy: 0.8591 - val_loss: 0.3520 - val_accuracy: 0.8540
|
||||
Epoch 5/15
|
||||
102/102 [==============================] - 28s 273ms/step - loss: 0.3224 - accuracy: 0.8806 - val_loss: 0.3561 - val_accuracy: 0.8503
|
||||
Epoch 6/15
|
||||
102/102 [==============================] - 27s 270ms/step - loss: 0.3080 - accuracy: 0.8766 - val_loss: 0.3010 - val_accuracy: 0.8798
|
||||
Epoch 7/15
|
||||
102/102 [==============================] - 30s 291ms/step - loss: 0.2779 - accuracy: 0.8870 - val_loss: 0.2870 - val_accuracy: 0.8982
|
||||
Epoch 8/15
|
||||
102/102 [==============================] - 32s 319ms/step - loss: 0.2697 - accuracy: 0.8971 - val_loss: 0.3190 - val_accuracy: 0.8847
|
||||
Epoch 9/15
|
||||
102/102 [==============================] - 32s 312ms/step - loss: 0.2526 - accuracy: 0.9011 - val_loss: 0.2778 - val_accuracy: 0.8945
|
||||
Epoch 10/15
|
||||
102/102 [==============================] - 31s 304ms/step - loss: 0.2416 - accuracy: 0.9073 - val_loss: 0.2891 - val_accuracy: 0.8883
|
||||
Epoch 11/15
|
||||
102/102 [==============================] - 31s 303ms/step - loss: 0.2325 - accuracy: 0.9100 - val_loss: 0.2945 - val_accuracy: 0.8933
|
||||
Epoch 12/15
|
||||
102/102 [==============================] - 31s 302ms/step - loss: 0.2156 - accuracy: 0.9128 - val_loss: 0.2748 - val_accuracy: 0.9067
|
||||
Epoch 13/15
|
||||
102/102 [==============================] - 33s 328ms/step - loss: 0.2105 - accuracy: 0.9211 - val_loss: 0.3212 - val_accuracy: 0.8994
|
||||
Epoch 14/15
|
||||
102/102 [==============================] - 32s 311ms/step - loss: 0.1986 - accuracy: 0.9171 - val_loss: 0.2914 - val_accuracy: 0.9043
|
||||
Epoch 15/15
|
||||
102/102 [==============================] - 32s 311ms/step - loss: 0.2002 - accuracy: 0.9254 - val_loss: 0.2541 - val_accuracy: 0.9117
|
||||
|
||||
|
||||
26/26 [==============================] - 6s 213ms/step - loss: 0.2541 - accuracy: 0.9117
|
||||
Test loss: 0.2540619671344757 / Test accuracy: 0.9116564393043518
|
||||
|
||||
Model: "model_8"
|
||||
__________________________________________________________________________________________________
|
||||
Layer (type) Output Shape Param # Connected to
|
||||
==================================================================================================
|
||||
input_17 (InputLayer) [(None, 128, 128, 3 0 []
|
||||
)]
|
||||
|
||||
Conv1 (Conv2D) (None, 64, 64, 32) 864 ['input_17[0][0]']
|
||||
|
||||
bn_Conv1 (BatchNormalization) (None, 64, 64, 32) 128 ['Conv1[0][0]']
|
||||
|
||||
Conv1_relu (ReLU) (None, 64, 64, 32) 0 ['bn_Conv1[0][0]']
|
||||
|
||||
expanded_conv_depthwise (Depth (None, 64, 64, 32) 288 ['Conv1_relu[0][0]']
|
||||
wiseConv2D)
|
||||
|
||||
expanded_conv_depthwise_BN (Ba (None, 64, 64, 32) 128 ['expanded_conv_depthwise[0][0]']
|
||||
tchNormalization)
|
||||
|
||||
expanded_conv_depthwise_relu ( (None, 64, 64, 32) 0 ['expanded_conv_depthwise_BN[0][0
|
||||
ReLU) ]']
|
||||
|
||||
expanded_conv_project (Conv2D) (None, 64, 64, 16) 512 ['expanded_conv_depthwise_relu[0]
|
||||
[0]']
|
||||
|
||||
expanded_conv_project_BN (Batc (None, 64, 64, 16) 64 ['expanded_conv_project[0][0]']
|
||||
hNormalization)
|
||||
|
||||
block_1_expand (Conv2D) (None, 64, 64, 96) 1536 ['expanded_conv_project_BN[0][0]'
|
||||
]
|
||||
|
||||
block_1_expand_BN (BatchNormal (None, 64, 64, 96) 384 ['block_1_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_1_expand_relu (ReLU) (None, 64, 64, 96) 0 ['block_1_expand_BN[0][0]']
|
||||
|
||||
block_1_pad (ZeroPadding2D) (None, 65, 65, 96) 0 ['block_1_expand_relu[0][0]']
|
||||
|
||||
block_1_depthwise (DepthwiseCo (None, 32, 32, 96) 864 ['block_1_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_1_depthwise_BN (BatchNor (None, 32, 32, 96) 384 ['block_1_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_1_depthwise_relu (ReLU) (None, 32, 32, 96) 0 ['block_1_depthwise_BN[0][0]']
|
||||
|
||||
block_1_project (Conv2D) (None, 32, 32, 24) 2304 ['block_1_depthwise_relu[0][0]']
|
||||
|
||||
block_1_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_1_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_2_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_1_project_BN[0][0]']
|
||||
|
||||
block_2_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_2_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_2_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_expand_BN[0][0]']
|
||||
|
||||
block_2_depthwise (DepthwiseCo (None, 32, 32, 144) 1296 ['block_2_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_2_depthwise_BN (BatchNor (None, 32, 32, 144) 576 ['block_2_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_2_depthwise_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_depthwise_BN[0][0]']
|
||||
|
||||
block_2_project (Conv2D) (None, 32, 32, 24) 3456 ['block_2_depthwise_relu[0][0]']
|
||||
|
||||
block_2_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_2_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_2_add (Add) (None, 32, 32, 24) 0 ['block_1_project_BN[0][0]',
|
||||
'block_2_project_BN[0][0]']
|
||||
|
||||
block_3_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_2_add[0][0]']
|
||||
|
||||
block_3_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_3_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_3_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_3_expand_BN[0][0]']
|
||||
|
||||
block_3_pad (ZeroPadding2D) (None, 33, 33, 144) 0 ['block_3_expand_relu[0][0]']
|
||||
|
||||
block_3_depthwise (DepthwiseCo (None, 16, 16, 144) 1296 ['block_3_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_3_depthwise_BN (BatchNor (None, 16, 16, 144) 576 ['block_3_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_3_depthwise_relu (ReLU) (None, 16, 16, 144) 0 ['block_3_depthwise_BN[0][0]']
|
||||
|
||||
block_3_project (Conv2D) (None, 16, 16, 32) 4608 ['block_3_depthwise_relu[0][0]']
|
||||
|
||||
block_3_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_3_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_4_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_3_project_BN[0][0]']
|
||||
|
||||
block_4_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_4_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_4_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_expand_BN[0][0]']
|
||||
|
||||
block_4_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_4_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_4_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_4_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_4_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_depthwise_BN[0][0]']
|
||||
|
||||
block_4_project (Conv2D) (None, 16, 16, 32) 6144 ['block_4_depthwise_relu[0][0]']
|
||||
|
||||
block_4_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_4_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_4_add (Add) (None, 16, 16, 32) 0 ['block_3_project_BN[0][0]',
|
||||
'block_4_project_BN[0][0]']
|
||||
|
||||
block_5_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_4_add[0][0]']
|
||||
|
||||
block_5_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_5_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_5_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_expand_BN[0][0]']
|
||||
|
||||
block_5_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_5_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_5_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_5_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_5_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_depthwise_BN[0][0]']
|
||||
|
||||
block_5_project (Conv2D) (None, 16, 16, 32) 6144 ['block_5_depthwise_relu[0][0]']
|
||||
|
||||
block_5_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_5_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_5_add (Add) (None, 16, 16, 32) 0 ['block_4_add[0][0]',
|
||||
'block_5_project_BN[0][0]']
|
||||
|
||||
block_6_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_5_add[0][0]']
|
||||
|
||||
block_6_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_6_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_6_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_6_expand_BN[0][0]']
|
||||
|
||||
block_6_pad (ZeroPadding2D) (None, 17, 17, 192) 0 ['block_6_expand_relu[0][0]']
|
||||
|
||||
block_6_depthwise (DepthwiseCo (None, 8, 8, 192) 1728 ['block_6_pad[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_6_depthwise_BN (BatchNor (None, 8, 8, 192) 768 ['block_6_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_6_depthwise_relu (ReLU) (None, 8, 8, 192) 0 ['block_6_depthwise_BN[0][0]']
|
||||
|
||||
block_6_project (Conv2D) (None, 8, 8, 64) 12288 ['block_6_depthwise_relu[0][0]']
|
||||
|
||||
block_6_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_6_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_7_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_6_project_BN[0][0]']
|
||||
|
||||
block_7_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_7_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_7_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_expand_BN[0][0]']
|
||||
|
||||
block_7_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_7_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_7_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_7_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_7_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_depthwise_BN[0][0]']
|
||||
|
||||
block_7_project (Conv2D) (None, 8, 8, 64) 24576 ['block_7_depthwise_relu[0][0]']
|
||||
|
||||
block_7_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_7_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_7_add (Add) (None, 8, 8, 64) 0 ['block_6_project_BN[0][0]',
|
||||
'block_7_project_BN[0][0]']
|
||||
|
||||
block_8_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_7_add[0][0]']
|
||||
|
||||
block_8_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_8_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_8_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_expand_BN[0][0]']
|
||||
|
||||
block_8_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_8_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_8_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_8_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_8_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_depthwise_BN[0][0]']
|
||||
|
||||
block_8_project (Conv2D) (None, 8, 8, 64) 24576 ['block_8_depthwise_relu[0][0]']
|
||||
|
||||
block_8_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_8_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_8_add (Add) (None, 8, 8, 64) 0 ['block_7_add[0][0]',
|
||||
'block_8_project_BN[0][0]']
|
||||
|
||||
block_9_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_8_add[0][0]']
|
||||
|
||||
block_9_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_9_expand[0][0]']
|
||||
ization)
|
||||
|
||||
block_9_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_expand_BN[0][0]']
|
||||
|
||||
block_9_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_9_expand_relu[0][0]']
|
||||
nv2D)
|
||||
|
||||
block_9_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_9_depthwise[0][0]']
|
||||
malization)
|
||||
|
||||
block_9_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_depthwise_BN[0][0]']
|
||||
|
||||
block_9_project (Conv2D) (None, 8, 8, 64) 24576 ['block_9_depthwise_relu[0][0]']
|
||||
|
||||
block_9_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_9_project[0][0]']
|
||||
lization)
|
||||
|
||||
block_9_add (Add) (None, 8, 8, 64) 0 ['block_8_add[0][0]',
|
||||
'block_9_project_BN[0][0]']
|
||||
|
||||
block_10_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_9_add[0][0]']
|
||||
|
||||
block_10_expand_BN (BatchNorma (None, 8, 8, 384) 1536 ['block_10_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_10_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_expand_BN[0][0]']
|
||||
|
||||
block_10_depthwise (DepthwiseC (None, 8, 8, 384) 3456 ['block_10_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_10_depthwise_BN (BatchNo (None, 8, 8, 384) 1536 ['block_10_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_10_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_depthwise_BN[0][0]']
|
||||
|
||||
block_10_project (Conv2D) (None, 8, 8, 96) 36864 ['block_10_depthwise_relu[0][0]']
|
||||
|
||||
block_10_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_10_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_11_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_10_project_BN[0][0]']
|
||||
|
||||
block_11_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_11_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_11_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_expand_BN[0][0]']
|
||||
|
||||
block_11_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_11_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_11_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_11_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_11_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_depthwise_BN[0][0]']
|
||||
|
||||
block_11_project (Conv2D) (None, 8, 8, 96) 55296 ['block_11_depthwise_relu[0][0]']
|
||||
|
||||
block_11_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_11_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_11_add (Add) (None, 8, 8, 96) 0 ['block_10_project_BN[0][0]',
|
||||
'block_11_project_BN[0][0]']
|
||||
|
||||
block_12_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_11_add[0][0]']
|
||||
|
||||
block_12_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_12_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_12_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_expand_BN[0][0]']
|
||||
|
||||
block_12_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_12_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_12_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_12_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_12_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_depthwise_BN[0][0]']
|
||||
|
||||
block_12_project (Conv2D) (None, 8, 8, 96) 55296 ['block_12_depthwise_relu[0][0]']
|
||||
|
||||
block_12_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_12_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_12_add (Add) (None, 8, 8, 96) 0 ['block_11_add[0][0]',
|
||||
'block_12_project_BN[0][0]']
|
||||
|
||||
block_13_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_12_add[0][0]']
|
||||
|
||||
block_13_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_13_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_13_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_13_expand_BN[0][0]']
|
||||
|
||||
block_13_pad (ZeroPadding2D) (None, 9, 9, 576) 0 ['block_13_expand_relu[0][0]']
|
||||
|
||||
block_13_depthwise (DepthwiseC (None, 4, 4, 576) 5184 ['block_13_pad[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_13_depthwise_BN (BatchNo (None, 4, 4, 576) 2304 ['block_13_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_13_depthwise_relu (ReLU) (None, 4, 4, 576) 0 ['block_13_depthwise_BN[0][0]']
|
||||
|
||||
block_13_project (Conv2D) (None, 4, 4, 160) 92160 ['block_13_depthwise_relu[0][0]']
|
||||
|
||||
block_13_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_13_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_14_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_13_project_BN[0][0]']
|
||||
|
||||
block_14_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_14_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_14_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_expand_BN[0][0]']
|
||||
|
||||
block_14_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_14_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_14_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_14_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_14_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_depthwise_BN[0][0]']
|
||||
|
||||
block_14_project (Conv2D) (None, 4, 4, 160) 153600 ['block_14_depthwise_relu[0][0]']
|
||||
|
||||
block_14_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_14_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_14_add (Add) (None, 4, 4, 160) 0 ['block_13_project_BN[0][0]',
|
||||
'block_14_project_BN[0][0]']
|
||||
|
||||
block_15_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_14_add[0][0]']
|
||||
|
||||
block_15_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_15_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_15_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_expand_BN[0][0]']
|
||||
|
||||
block_15_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_15_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_15_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_15_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_15_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_depthwise_BN[0][0]']
|
||||
|
||||
block_15_project (Conv2D) (None, 4, 4, 160) 153600 ['block_15_depthwise_relu[0][0]']
|
||||
|
||||
block_15_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_15_project[0][0]']
|
||||
alization)
|
||||
|
||||
block_15_add (Add) (None, 4, 4, 160) 0 ['block_14_add[0][0]',
|
||||
'block_15_project_BN[0][0]']
|
||||
|
||||
block_16_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_15_add[0][0]']
|
||||
|
||||
block_16_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_16_expand[0][0]']
|
||||
lization)
|
||||
|
||||
block_16_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_expand_BN[0][0]']
|
||||
|
||||
block_16_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_16_expand_relu[0][0]']
|
||||
onv2D)
|
||||
|
||||
block_16_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_16_depthwise[0][0]']
|
||||
rmalization)
|
||||
|
||||
block_16_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_depthwise_BN[0][0]']
|
||||
|
||||
block_16_project (Conv2D) (None, 4, 4, 320) 307200 ['block_16_depthwise_relu[0][0]']
|
||||
|
||||
block_16_project_BN (BatchNorm (None, 4, 4, 320) 1280 ['block_16_project[0][0]']
|
||||
alization)
|
||||
|
||||
Conv_1 (Conv2D) (None, 4, 4, 1280) 409600 ['block_16_project_BN[0][0]']
|
||||
|
||||
Conv_1_bn (BatchNormalization) (None, 4, 4, 1280) 5120 ['Conv_1[0][0]']
|
||||
|
||||
out_relu (ReLU) (None, 4, 4, 1280) 0 ['Conv_1_bn[0][0]']
|
||||
|
||||
average_pooling2d_22 (AverageP (None, 1, 1, 1280) 0 ['out_relu[0][0]']
|
||||
ooling2D)
|
||||
|
||||
flatten_9 (Flatten) (None, 1280) 0 ['average_pooling2d_22[0][0]']
|
||||
|
||||
dense_27 (Dense) (None, 256) 327936 ['flatten_9[0][0]']
|
||||
|
||||
dropout_9 (Dropout) (None, 256) 0 ['dense_27[0][0]']
|
||||
|
||||
dense_28 (Dense) (None, 64) 16448 ['dropout_9[0][0]']
|
||||
|
||||
dense_29 (Dense) (None, 3) 195 ['dense_28[0][0]']
|
||||
|
||||
==================================================================================================
|
||||
Total params: 2,602,563
|
||||
Trainable params: 344,579
|
||||
Non-trainable params: 2,257,984
|
||||
__________________________________________________________________________________________________
|
||||
1301
train_model.ipynb
Normal file
1301
train_model.ipynb
Normal file
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue
Block a user