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2023-029
Commit edfa7401 authored by Paranagama R.P.S.D.'s avatar Paranagama R.P.S.D.
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feat : Updated notebook

parent 9ab80463
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Showing with 156 additions and 180 deletions
Project/Backend/ML_Models/sign_language_to_text/.ipynb_checkpoints/tensorflow-cnn-checkpoint.ipynb
View file @ edfa7401
...@@ -2,7 +2,7 @@ ...@@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 6,
"id": "ade37944", "id": "ade37944",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
...@@ -17,7 +17,7 @@ ...@@ -17,7 +17,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 7,
"id": "16176bf6", "id": "16176bf6",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
...@@ -40,7 +40,7 @@ ...@@ -40,7 +40,7 @@
" 'Uhh']" " 'Uhh']"
] ]
}, },
"execution_count": 3, "execution_count": 7,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -57,7 +57,7 @@ ...@@ -57,7 +57,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 8,
"id": "8f7b1301", "id": "8f7b1301",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
...@@ -83,7 +83,7 @@ ...@@ -83,7 +83,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 9,
"id": "c9034cbe", "id": "c9034cbe",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
...@@ -113,7 +113,7 @@ ...@@ -113,7 +113,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": null,
"id": "7adb379e", "id": "7adb379e",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
...@@ -124,7 +124,7 @@ ...@@ -124,7 +124,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": null,
"id": "d44f7806", "id": "d44f7806",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
...@@ -144,49 +144,12 @@ ...@@ -144,49 +144,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": null,
"id": "ff4f0d06", "id": "ff4f0d06",
"metadata": { "metadata": {
"scrolled": true "scrolled": true
}, },
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 3.0344 - accuracy: 0.0708 - val_loss: 2.4118 - val_accuracy: 0.1034\n",
"Epoch 2/10\n",
"4/4 [==============================] - 4s 1s/step - loss: 2.3133 - accuracy: 0.3274 - val_loss: 1.6620 - val_accuracy: 0.9310\n",
"Epoch 3/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 1.2560 - accuracy: 0.9558 - val_loss: 0.4894 - val_accuracy: 0.9655\n",
"Epoch 4/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 0.2415 - accuracy: 0.9912 - val_loss: 0.0362 - val_accuracy: 1.0000\n",
"Epoch 5/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 0.0340 - accuracy: 0.9912 - val_loss: 0.0024 - val_accuracy: 1.0000\n",
"Epoch 6/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 0.0021 - accuracy: 1.0000 - val_loss: 0.0127 - val_accuracy: 1.0000\n",
"Epoch 7/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 0.0040 - accuracy: 1.0000 - val_loss: 3.6882e-05 - val_accuracy: 1.0000\n",
"Epoch 8/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 9.9268e-05 - accuracy: 1.0000 - val_loss: 2.7212e-06 - val_accuracy: 1.0000\n",
"Epoch 9/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 5.2195e-05 - accuracy: 1.0000 - val_loss: 6.4126e-07 - val_accuracy: 1.0000\n",
"Epoch 10/10\n",
"4/4 [==============================] - 5s 1s/step - loss: 1.3251e-05 - accuracy: 1.0000 - val_loss: 2.7130e-07 - val_accuracy: 1.0000\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x2d653970160>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n", "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n",
"model.fit(train_data, train_labels, epochs=EPOCHS, batch_size=BATCH_SIZE, validation_data=(val_data, val_labels))\n" "model.fit(train_data, train_labels, epochs=EPOCHS, batch_size=BATCH_SIZE, validation_data=(val_data, val_labels))\n"
...@@ -194,40 +157,18 @@ ...@@ -194,40 +157,18 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": null,
"id": "61d6a8d8", "id": "61d6a8d8",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 3 of 3). These functions will not be directly callable after loading.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO:tensorflow:Assets written to: ./models/model\\assets\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:tensorflow:Assets written to: ./models/model\\assets\n"
]
}
],
"source": [ "source": [
"model.save('./models/model')" "model.save('./models/model')"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": null,
"id": "dc610fdb", "id": "fdc9bfe6",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -255,22 +196,10 @@ ...@@ -255,22 +196,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": null,
"id": "6b6d20d2", "id": "297e3e3c",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"ename": "NameError",
"evalue": "name 'test_data' is not defined",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_17676\\3131021014.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpredictions\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtest_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mpredicted_classes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mNameError\u001b[0m: name 'test_data' is not defined"
]
}
],
"source": [ "source": [
"predictions = model.predict(test_data)\n", "predictions = model.predict(test_data)\n",
"predicted_classes = np.argmax(predictions, axis=1)\n", "predicted_classes = np.argmax(predictions, axis=1)\n",
...@@ -282,7 +211,7 @@ ...@@ -282,7 +211,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "2bd77ac5", "id": "e22211b0",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
......
Project/Backend/Server_Python/.gitignore
View file @ edfa7401
...@@ -16,6 +16,9 @@ ...@@ -16,6 +16,9 @@
files/* files/*
!files/ !files/
*.pyc
*~
*.swp
# Created by https://www.toptal.com/developers/gitignore/api/python # Created by https://www.toptal.com/developers/gitignore/api/python
# Edit at https://www.toptal.com/developers/gitignore?templates=python # Edit at https://www.toptal.com/developers/gitignore?templates=python
......
Project/Backend/Server_Python/controllers/translate_controler.py
View file @ edfa7401
import base64
import os
import cv2
from fastapi import APIRouter, File, HTTPException,UploadFile from fastapi import APIRouter, File, HTTPException,UploadFile
import numpy as np
from pydantic import BaseModel from pydantic import BaseModel
import tensorflow as tf import tensorflow as tf
from core.logger import setup_logger
from core import setup_logger
from services.translate_service import SignLanguagePredictionService from services.translate_service import SignLanguagePredictionService
from utils import mappings from utils import mappings
......
Project/Backend/Server_Python/core/__init__.py
View file @ edfa7401
import logging
def setup_logger():
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
# Create a file handler for logging to a file
file_handler = logging.FileHandler('app.log')
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(formatter)
# Create a stream handler for logging to console
stream_handler = logging.StreamHandler()
stream_handler.setLevel(logging.INFO)
stream_handler.setFormatter(formatter)
# Add the handlers to the logger
logger.addHandler(file_handler)
logger.addHandler(stream_handler)
return logger
Project/Backend/Server_Python/core/logger.py
View file @ edfa7401
import logging
def setup_logger():
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
# Create a file handler for logging to a file
file_handler = logging.FileHandler('app.log')
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(formatter)
# Create a stream handler for logging to console
stream_handler = logging.StreamHandler()
stream_handler.setLevel(logging.INFO)
stream_handler.setFormatter(formatter)
# Add the handlers to the logger
logger.addHandler(file_handler)
logger.addHandler(stream_handler)
return logger
Project/Backend/Server_Python/main.py
View file @ edfa7401
...@@ -2,7 +2,9 @@ from fastapi import FastAPI ...@@ -2,7 +2,9 @@ from fastapi import FastAPI
from controllers import translate_controler, users_controller from controllers import translate_controler, users_controller
from fastapi.responses import RedirectResponse from fastapi.responses import RedirectResponse
from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.cors import CORSMiddleware
from core import setup_logger
from core.logger import setup_logger
app = FastAPI() app = FastAPI()
......
Project/Backend/Server_Python/services/translate_service.py
View file @ edfa7401
...@@ -5,10 +5,8 @@ import numpy as np ...@@ -5,10 +5,8 @@ import numpy as np
from fastapi import HTTPException, UploadFile from fastapi import HTTPException, UploadFile
from typing import Dict from typing import Dict
import tensorflow as tf from core.logger import setup_logger
from core import setup_logger
from utils import mappings
logger = setup_logger() logger = setup_logger()
......
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