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American Sign Language Detection #37

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Khushi771 Aug 25, 2023
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Merge pull request #1 from Khushi771/Khushi771-asl
Khushi771 Aug 25, 2023
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220 changes: 220 additions & 0 deletions American Sign lang detection/integrated_model.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "2902fc39",
"metadata": {},
"outputs": [],
"source": [
"import tensorflow\n",
"import keras\n",
"from tensorflow.keras.optimizers import RMSprop\n",
"from keras import models,layers,optimizers\n",
"import sys"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c1893f26",
"metadata": {},
"outputs": [],
"source": [
"from keras.models import load_model\n",
"\n",
"class_map = {0: '1', 1: '3', 2: '4', 3: '5', 4: '7', 5: '8', 6: '9', 7: 'A', 8: 'B', 9: 'Baby', 10: 'Brother', 11: 'C', 12: 'D', 13: 'Dont_like', 14: 'E', 15: 'F', 16: 'Friend', 17: 'G', 18: 'H', 19: 'Help', 20: 'House', 21: 'I', 22: 'J', 23: 'K', 24: 'L', 25: 'Like', 26: 'Love', 27: 'M', 28: 'Make', 29: 'More', 30: 'N', 31: 'Name', 32: 'No', 33: 'O_OR_0', 34: 'P', 35: 'Pay', 36: 'Play', 37: 'Q', 38: 'R', 39: 'S', 40: 'Stop', 41: 'T', 42: 'U', 43: 'V_OR_2', 44: 'W_OR_6', 45: 'With', 46: 'X', 47: 'Y', 48: 'Yes', 49: 'Z', 50: 'nothing'}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "ed37ba93",
"metadata": {},
"outputs": [],
"source": [
"model = load_model(\"model_inc.h5\", compile=False)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fc2a0af4",
"metadata": {},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"from matplotlib import pyplot as plt\n",
"\n",
"def generate_predictions(test_img):\n",
"\n",
" #test_img = test_img.reshape((200,200,3))\n",
" #test_img = tf.keras.utils.load_img(test_img, target_size=(200, 200))\n",
" test_img_arr = tf.keras.utils.img_to_array(test_img)/255.0\n",
" test_img_input = test_img_arr.reshape((1, test_img_arr.shape[0], test_img_arr.shape[1], test_img_arr.shape[2]))\n",
"\n",
" predicted_label = np.argmax(model.predict(test_img_input))\n",
" predicted_category = class_map[predicted_label]\n",
" # plt.figure(figsize=(5, 5))\n",
" # plt.imshow(test_img_arr)\n",
" # plt.title(\"Predicted Label : \", predicted_category)\n",
" # plt.grid()\n",
" # plt.axis('off')\n",
" # plt.show()\n",
" print(predicted_category)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "4113f9a2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1/1 [==============================] - 1s 537ms/step\n",
"nothing\n",
"1/1 [==============================] - 0s 80ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 46ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 57ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 30ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 33ms/step\n",
"V_OR_2\n",
"1/1 [==============================] - 0s 41ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 42ms/step\n",
"1\n",
"1/1 [==============================] - 0s 42ms/step\n",
"O_OR_0\n",
"1/1 [==============================] - 0s 42ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 42ms/step\n",
"9\n",
"1/1 [==============================] - 0s 40ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 44ms/step\n",
"3\n",
"1/1 [==============================] - 0s 43ms/step\n",
"3\n",
"1/1 [==============================] - 0s 49ms/step\n",
"9\n",
"1/1 [==============================] - 0s 45ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"9\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 54ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 42ms/step\n",
"3\n",
"1/1 [==============================] - 0s 44ms/step\n",
"3\n",
"1/1 [==============================] - 0s 44ms/step\n",
"3\n",
"1/1 [==============================] - 0s 36ms/step\n",
"3\n",
"1/1 [==============================] - 0s 44ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 81ms/step\n",
"3\n",
"1/1 [==============================] - 0s 43ms/step\n",
"5\n",
"1/1 [==============================] - 0s 44ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"3\n",
"1/1 [==============================] - 0s 41ms/step\n",
"5\n"
]
}
],
"source": [
"import cv2 as cv\n",
"import numpy as np \n",
"\n",
"def real_time_shape():\n",
" \n",
" cap_video = cv.VideoCapture(0)\n",
" #cap_video.set(cv.CAP_PROP_FPS,10)\n",
"\n",
" while(True):\n",
"\n",
" _,frame = cap_video.read()\n",
" \n",
" frame=cv.resize(frame,[200,200])\n",
" generate_predictions(frame)\n",
" \n",
" cv.imshow('Video',frame)\n",
" \n",
" \n",
" if cv.waitKey(1000) & 0xFF==ord('q'):\n",
" break\n",
" \n",
"cv.destroyAllWindows()\n",
"\n",
"real_time_shape()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b289414b",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "myenv",
"language": "python",
"name": "myenv"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
1 change: 1 addition & 0 deletions American Sign lang detection/integrated_model_images.ipynb
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1 change: 1 addition & 0 deletions American Sign lang detection/sign_lang_model.ipynb
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